@article{becker2013awareness, abstract = {The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.}, author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca}, doi = {10.1371/journal.pone.0081638}, interhash = {52652b4fe271d8be4b96b2f692fe9519}, intrahash = {4b843a252dfa2c2616c18aea426f9861}, issn = {1932-6203}, journal = {PLOS ONE}, month = dec, number = 12, pages = {e81638}, title = {Awareness and Learning in Participatory Noise Sensing}, volume = 8, year = 2013 } @inproceedings{becker2013generic, abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.}, address = {New York, NY, USA}, author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd}, booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings}, doi = {10.1145/2494091.2499776}, interhash = {5302866e7849d40a44deab166b6c4d36}, intrahash = {35eef1ecdac9d83d3bfbcac22c31984a}, pages = {1175--1182}, publisher = {ACM}, title = {A Generic Platform for Ubiquitous and Subjective Data}, year = 2013 } @inproceedings{mueller2013recommendations, abstract = {With the rising popularity of smart mobile devices, sensor data-based applications have become more and more popular. Their users record data during their daily routine or specifically for certain events. The application WideNoise Plus allows users to record sound samples and to annotate them with perceptions and tags. The app is being used to document and map the soundscape all over the world. The procedure of recording, including the assignment of tags, has to be as easy-to-use as possible. We therefore discuss the application of tag recommender algorithms in this particular scenario. We show, that this task is fundamentally different from the well-known tag recommendation problem in folksonomies as users do no longer tag fix resources but rather sensory data and impressions. The scenario requires efficient recommender algorithms that are able to run on the mobile device, since Internet connectivity cannot be assumed to be available. Therefore, we evaluate the performance of several tag recommendation algorithms and discuss their applicability in the mobile sensing use-case.}, author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd}, booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings}, interhash = {23d1cf49208d9a0c8b883dc69d4e444d}, intrahash = {6190d6064dfdb3b8d71f2898539e993e}, note = {accepted for publication}, pages = {New York, NY, USA}, publisher = {ACM}, title = {Tag Recommendations for SensorFolkSonomies}, year = 2013 } @inproceedings{kibanov2013select, abstract = {This paper describes a framework for evaluating and selecting suitable soft- ware tools for a software project, which is easily extendable depending on needs of the project. For an evaluation, we applied the presented framework in three different projects. These projects use different software development methods (from classical models to Scrum) in different environments (industry and academia). We discuss our experiences and the lessons learned.}, author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin}, booktitle = {Software Engineering 2013 - Workshopband}, editor = {Wagner, Stefan and Lichter, Horst}, interhash = {5ca8db994c0eac678d74c889dc02eaee}, intrahash = {a3fe7cf44007d0f52a16ae05da66c610}, publisher = {Gesellschaft für Informatik}, title = {How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned}, url = {http://www4.in.tum.de/~kuhrmann/se2013/kibanov.pdf}, year = 2013 } @incollection{mitzlaff2013semantics, address = {Heidelberg, Germany}, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, booktitle = {Complex Networks IV}, doi = {10.1007/978-3-642-36844-8_2}, editor = {Ghoshal, Gourab and Poncela-Casasnovas, Julia and Tolksdorf, Robert}, interhash = {bf333426bb7af5f01bf0c465c1bfe1fc}, intrahash = {0a35f1ed66fcd342a6a44d70c63fb735}, optisbn = {978-3-642-36843-1}, opturl = {http://dx.doi.org/10.1007/978-3-642-36844-8_2}, publisher = {Springer Verlag}, series = {Studies in Computational Intelligence}, title = {{Semantics of User Interaction in Social Media}}, volume = 476, year = 2013 } @inproceedings{kibanov2013evolution, abstract = {Communities are a central aspect in the formation of social interaction networks. In this paper, we analyze the evolution of communities in networks of face-to-face proximity. As our application context, we consider four scientific conferences. We compare the basic properties of the contact graphs to describe the properties of the contact networks and analyze the resulting community structure using state-of-the-art automic community detection algorithms. Specifically, we analyze the evolution of contacts and communities over time to consider the stability of the respective communities. In addition, we assess different factors which have an influence on the quality of community prediction. Overall, we provide first important insights into the evolution of contacts and communities in face-to-face contact networks.}, address = {Los Alamitos, CA, USA}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on}, interhash = {14e73d96c8554e73214c36b49add934c}, intrahash = {601dbb4ce847cd8baaec1c751f8373a5}, publisher = {IEEE Computer Society}, title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}, year = 2013 } @inproceedings{atzmueller2013towards, address = {New York, NY, USA}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013}, interhash = {b0d93d41ff9e84514d614cd2b3507a1d}, intrahash = {4ebea4979524a9c1c0d41845e41e33a9}, publisher = {ACM Press}, title = {{Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection}}, year = 2013 } @inproceedings{scholz2013people, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {ASONAM}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {bf958ff2b11df1d9d15d9287ea07a5c9}, title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}, year = 2013 } @book{doerfel2013informationelle, author = {Doerfel, Stephan and Hotho, Andreas and Kartal-Aydemir, Aliye and Roßnagel, Alexander and Stumme, Gerd}, interhash = {f72d297ba42797ca66baba052c846b7a}, intrahash = {2bb934c0ff3652843fd0aff97d8d7324}, isbn = {9783642380556 3642380557}, publisher = {Vieweg + Teubner Verlag}, refid = {857973438}, title = {Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme}, url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642380556}, year = 2013 } @article{atzmueller2013exploratory, author = {Atzmueller, Martin and Lemmerich, Florian}, interhash = {6e83bf4017fffe31a5632289d91c1b6d}, intrahash = {9f176520035c05191d77ebd53803b817}, journal = {International Journal of Web Science (Special Issue on Social Web Search and Mining)}, number = {1/2}, title = {{Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information}}, volume = 2, year = 2013 } @article{schulz2013rechtliche, author = {Schulz, Thomas and Skistims, Hendrik and Zirfas, Julia and Atzmueller, Martin and Scholz, Christoph}, interhash = {224ac0c2ca760bea1ccdb5ee66959a8b}, intrahash = {2ec777edc0adc9f74292caf4ae9ad4f0}, journal = {ZD}, pages = {60--65}, title = {{Rechtliche Ausgestaltung sozialer Konferenzplattformen}}, volume = 2, year = 2013 } @inproceedings{mitzlaff2011semantics, address = {Bamberg, Germany}, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, interhash = {73088600a500f7d06768615d6e1c2b3d}, intrahash = {820ffb2166b330bf60bb30b16e426553}, publisher = {University of Bamberg}, title = {{On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}}, year = 2011 } @inproceedings{kibanov2013select, author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin}, booktitle = {Software Engineering 2013 - Workshopband}, editors = {Stefan Wagner and Horst Lichter}, interhash = {5ca8db994c0eac678d74c889dc02eaee}, intrahash = {f94a42249c770cdf5d62e4ec3db073e9}, publisher = {Gesellschaft für Informatik}, title = {{How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned}}, year = 2013 } @misc{mitzlaff2013userrelatedness, abstract = {With social media and the according social and ubiquitous applications finding their way into everyday life, there is a rapidly growing amount of user generated content yielding explicit and implicit network structures. We consider social activities and phenomena as proxies for user relatedness. Such activities are represented in so-called social interaction networks or evidence networks, with different degrees of explicitness. We focus on evidence networks containing relations on users, which are represented by connections between individual nodes. Explicit interaction networks are then created by specific user actions, for example, when building a friend network. On the other hand, more implicit networks capture user traces or evidences of user actions as observed in Web portals, blogs, resource sharing systems, and many other social services. These implicit networks can be applied for a broad range of analysis methods instead of using expensive gold-standard information. In this paper, we analyze different properties of a set of networks in social media. We show that there are dependencies and correlations between the networks. These allow for drawing reciprocal conclusions concerning pairs of networks, based on the assessment of structural correlations and ranking interchangeability. Additionally, we show how these inter-network correlations can be used for assessing the results of structural analysis techniques, e.g., community mining methods.}, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {cbed5fadde51ddb20c6a470ced93556a}, note = {cite arxiv:1309.3888}, title = {User-Relatedness and Community Structure in Social Interaction Networks}, url = {http://arxiv.org/abs/1309.3888}, year = 2013 } @inproceedings{kibanov2013evolution, address = {Boston, MA, USA}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Proc. IEEE CPSCom 2013}, interhash = {14e73d96c8554e73214c36b49add934c}, intrahash = {5824b6151b2046d6295e4300311b7e8e}, publisher = {IEEE Computer Society}, title = {{On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}}, year = 2013 } @inproceedings{scholz2013people, abstract = {Understanding the process of link creation is rather important for link prediction in social networks. Therefore, this paper analyzes contact structures in networks of face-to-face spatial proximity, and presents new insights on the dynamic and static contact behavior in such real world networks. We focus on face-to-face contact networks collected at different conferences using the social conference guidance system Conferator. Specifically, we investigate the strength of ties and its connection to triadic closures in face-to-face proximity networks. Furthermore, we analyze the predictability of all, new and recurring links at different points of time during the conference. In addition, we consider network dynamics for the prediction of new links.}, address = {Los Alamitos, CA, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {15cbb7f4dbbb8bc6ee9b7a2bf666f032}, title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}, year = 2013 } @inproceedings{atzmueller2013sensor, address = {Hamburg, Germany}, author = {Atzmueller, Martin and Hilgenberg, Katy}, booktitle = {Proc. Sunbelt XXXIII: Annual Meeting of the International Network for Social Network Analysis}, interhash = {b71797fb6ff8776761d5227a61875470}, intrahash = {5f8a4602c1087ea93f1f7440050d1982}, publisher = {INSNA}, title = {{SDCF - A Sensor Data Collection Framework for Social and Ubiquitous Environments: Challenges and First Experiences in Sensor-based Social Networks (Abstract)}}, year = 2013 } @book{atzmueller2013proceedings, address = {Prague, Czech Republic}, editor = {Atzmueller, Martin and Scholz, Christoph}, interhash = {86b1cf400a692ad208a65d64798b360d}, intrahash = {df284a5c0da26066183bb7f528ded439}, publisher = {ECML/PKDD 2013}, title = {{Proceedings of the 2013 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2013)}}, year = 2013 } @misc{atzmueller2013conferator, author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd}, howpublished = {INFORMATIK 2013, Poster}, interhash = {caba49a0a623346dad82849aba632778}, intrahash = {08072aad22200d852e826ef2cde3e487}, title = {Conferator - a Social System for Conference and Contact Management }, year = 2013 } @inproceedings{mitzlaff2013leveraging, author = {Mitzlaff, Folke}, booktitle = {Proceedings from Sunbelt XXXIII}, interhash = {c8e7748fd7777e15c66f8dce8189a7a5}, intrahash = {aedf89a1eb405370be2a6d8e0c3be382}, title = {Name Me If You Can(!) - Leveraging Networks of Given Names}, year = 2013 } @inproceedings{jaschke2013attribute, abstract = {We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.}, author = {Jäschke, Robert and Rudolph, Sebastian}, booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis}, editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard}, interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4}, intrahash = {45e900e280661d775d8da949baee3747}, month = may, organization = {Technische Universität Dresden}, pages = {19--34}, title = {Attribute Exploration on the Web}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133}, urn = {urn:nbn:de:bsz:14-qucosa-113133}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {a73213a865503252caa4b28e88a77108}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An Analysis of Tag-Recommender Evaluation Procedures}, url = {http://doi.acm.org/10.1145/2507157.2507222}, year = 2013 } @inproceedings{scholz2013people, address = {New York, NY, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, booktitle = {Proc. ASONAM 2013}, interhash = {8b6051b794789000c4baa5ab059fab18}, intrahash = {0fee74fd5b3f4c2af09e3af256086c63}, publisher = {ACM Press}, title = {{How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}}, year = 2013 } @incollection{niebler2013tagging, abstract = {The presence of emergent semantics in social annotation systems has been reported in numerous studies. Two important problems in this context are the induction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discovering tag senses exist, little is known about which }, author = {Niebler, Thomas and Singer, Philipp and Benz, Dominik and Körner, Christian and Strohmaier, Markus and Hotho, Andreas}, booktitle = {Advances in Information Retrieval}, doi = {10.1007/978-3-642-36973-5_8}, editor = {Serdyukov, Pavel and Braslavski, Pavel and Kuznetsov, SergeiO. and Kamps, Jaap and Rüger, Stefan and Agichtein, Eugene and Segalovich, Ilya and Yilmaz, Emine}, interhash = {8f11f2140d9eb369a7ca42cd527f76c1}, intrahash = {8583743a7598e78cc7b4e8af71a43902}, isbn = {978-3-642-36972-8}, pages = {86-97}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {How Tagging Pragmatics Influence Tag Sense Discovery in Social Annotation Systems}, url = {http://dx.doi.org/10.1007/978-3-642-36973-5_8}, volume = 7814, year = 2013 } @incollection{seipel2013mining, address = {Heidelberg, Germany}, author = {Seipel, Dietmar and Köhler, Stefan and Neubeck, Philipp and Atzmueller, Martin}, booktitle = {{Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012}}, interhash = {5c349ddd3d5627b0ccb31ee1de55faa2}, intrahash = {0c1b2ffe552535d3f34521a74f4c4253}, publisher = {Springer Verlag}, series = {LNAI}, title = {{Mining Complex Event Patterns in Computer Networks}}, year = 2013 } @article{mitzlaff2013userrelatedness, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {424d0f2d4a5c9a0eb68cbf2fc5b0010a}, journal = {CoRR/abs}, title = {{User-Relatedness and Community Structure in Social Interaction Networks}}, volume = {1309.3888}, year = 2013 } @article{landia2013deeper, abstract = {The information contained in social tagging systems is often modelled as a graph of connections between users, items and tags. Recommendation algorithms such as FolkRank, have the potential to leverage complex relationships in the data, corresponding to multiple hops in the graph. We present an in-depth analysis and evaluation of graph models for social tagging data and propose novel adaptations and extensions of FolkRank to improve tag recommendations. We highlight implicit assumptions made by the widely used folksonomy model, and propose an alternative and more accurate graph-representation of the data. Our extensions of FolkRank address the new item problem by incorporating content data into the algorithm, and significantly improve prediction results on unpruned datasets. Our adaptations address issues in the iterative weight spreading calculation that potentially hinder FolkRank's ability to leverage the deep graph as an information source. Moreover, we evaluate the benefit of considering each deeper level of the graph, and present important insights regarding the characteristics of social tagging data in general. Our results suggest that the base assumption made by conventional weight propagation methods, that closeness in the graph always implies a positive relationship, does not hold for the social tagging domain.}, author = {Landia, Nikolas and Doerfel, Stephan and Jäschke, Robert and Anand, Sarabjot Singh and Hotho, Andreas and Griffiths, Nathan}, interhash = {e8095b13630452ce3ecbae582f32f4bc}, intrahash = {e585a92994be476480545eb62d741642}, journal = {cs.IR}, title = {Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations}, url = {http://arxiv.org/abs/1310.1498}, volume = {1310.1498}, year = 2013 } @misc{mitzlaff2013recommending, abstract = {All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective. The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new \NR algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction accuracy and runtime performance as well as its ability to generate personalized recommendations. We also show, how the gathered inter-name relationships can be used for meaningful result diversification of PageRank-based recommendation systems. As all of the considered usage data is made publicly available, the present work establishes baseline results, encouraging other researchers to implement advanced recommendation systems for given names.}, author = {Mitzlaff, Folke and Stumme, Gerd}, interhash = {545658b6e337858f7865b51e46d1c7a6}, intrahash = {41f92650f0f7d78366febc1832cedba9}, note = {cite arxiv:1302.4412Comment: Baseline results for the ECML PKDD Discovery Challenge 2013}, title = {Recommending Given Names}, url = {http://arxiv.org/abs/1302.4412}, year = 2013 } @inproceedings{christophscholzandmartinatzmuellerandalainbarratandcirocattutoandgerdstumme2013insights, address = {Palo Alto, CA, USA}, author = {{Christoph Scholz and Martin Atzmueller and Alain Barrat and Ciro Cattuto and Gerd Stumme}}, booktitle = {Proc. 7th Intl. AAAI Conference on Weblogs and Social Media}, interhash = {18e166abcc948c86d6d4e9de9b204760}, intrahash = {3dce3522e260238f2a8e802b52096cb7}, optpages = {To appear}, publisher = {AAAI Press}, title = {{New Insights and Methods For Predicting Face-To-Face Contacts}}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {aa4b3d79a362d7415aaa77625b590dfa}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An analysis of tag-recommender evaluation procedures}, url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2013analysis.pdf}, year = 2013 } @inproceedings{kibanov2013evolution, address = {Bamberg, Germany}, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, interhash = {84a970ee998f7e8d24b597c285e1887c}, intrahash = {a5d94c9930fd413a404efe6d9420a752}, publisher = {University of Bamberg}, title = {{Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)}}, year = 2013 } @inproceedings{atzmueller2013subgroup, address = {Prague, Czech Republic}, author = {Atzmueller, Martin and Mueller, Juergen}, booktitle = {{Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013)}}, interhash = {339aa18b5a6047ea4005f6c6a48b9bb6}, intrahash = {56661bf6212e1e5ab839640fdfba09b6}, title = {{Subgroup Analytics and Interactive Assessment on Ubiquitous Data}}, year = 2013 } @conference{macek2013visualizing, address = {New York, NY, USA}, author = {Macek, Björn-Elmar and Atzmueller, Martin}, booktitle = {Proc. ASONAM 2013}, interhash = {d8cd9de635a391360c1663c0ec1ba35d}, intrahash = {04a24a6fa8abc228ea70b7d1c2ca7455}, publisher = {ACM Press}, title = {Visualizing The Impact of Time Series Data for Predicting User Interactions}, year = 2013 } @misc{mitzlaff2013onomastics, abstract = {Onomastics is "the science or study of the origin and forms of proper names of persons or places." ["Onomastics". Merriam-Webster.com, 2013. http://www.merriam-webster.com (11 February 2013)]. Especially personal names play an important role in daily life, as all over the world future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and, in particular, personal taste. With the rise of the Social Web and its applications, users more and more interact digitally and participate in the creation of heterogeneous, distributed, collaborative data collections. These sources of data also reflect current and new naming trends as well as new emerging interrelations among names. The present work shows, how basic approaches from the field of social network analysis and information retrieval can be applied for discovering relations among names, thus extending Onomastics by data mining techniques. The considered approach starts with building co-occurrence graphs relative to data from the Social Web, respectively for given names and city names. As a main result, correlations between semantically grounded similarities among names (e.g., geographical distance for city names) and structural graph based similarities are observed. The discovered relations among given names are the foundation of "nameling" [http://nameling.net], a search engine and academic research platform for given names which attracted more than 30,000 users within four months, underpinningthe relevance of the proposed methodology.}, author = {Mitzlaff, Folke and Stumme, Gerd}, interhash = {816104835d685de72d69faa174fd5e77}, intrahash = {0e7c394199e6b0587a880184b206af57}, note = {cite arxiv:1303.0484Comment: Historically, this is the first paper on the analysis of names in the context of the name search engine 'nameling'. arXiv admin note: text overlap with arXiv:1302.4412}, title = {Onomastics 2.0 - The Power of Social Co-Occurrences}, url = {http://arxiv.org/abs/1303.0484}, year = 2013 } @misc{atzmueller2013conferator, author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd}, howpublished = {Poster at INFORMATIK 2013}, institution = {University of Koblenz-Landau}, interhash = {caba49a0a623346dad82849aba632778}, intrahash = {2668432d7c035c34c4af4f6f96e22397}, publisher = {INFORMATIK 2013}, title = {{Conferator - a Social System for Conference and Contact Management}}, year = 2013 } @inproceedings{atzmueller2013subgroup, abstract = {This paper applies subgroup discovery for obtaining interesting descriptive patterns in ubiquitous data. Furthermore, we provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set, and for ranking subgroups according to their relationships to other subgroups. We present and discuss first results utilizing real-world data, given by noise measurements with associated subjective perceptions and a set of tags describing the semantic context.}, address = {Kassel, Germany}, author = {Atzmueller, Martin and Mueller, Juergen}, booktitle = {Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings}, interhash = {339aa18b5a6047ea4005f6c6a48b9bb6}, intrahash = {72d80f820d7cd8bc00469bc5ea3ed534}, pages = {19--27}, title = {Subgroup Analytics and Interactive Assessment on Ubiquitous Data}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2013/#proceedings}, year = 2013 } @inproceedings{mueller2013recommendations, abstract = {With the rising popularity of smart mobile devices, sensor data-based applications have become more and more popular. Their users record data during their daily routine or specifically for certain events. The application WideNoise Plus allows users to record sound samples and to annotate them with perceptions and tags. The app is being used to document and map the soundscape all over the world. The procedure of recording, including the assignment of tags, has to be as easy-to-use as possible. We therefore discuss the application of tag recommender algorithms in this particular scenario. We show, that this task is fundamentally different from the well-known tag recommendation problem in folksonomies as users do no longer tag fix resources but rather sensory data and impressions. The scenario requires efficient recommender algorithms that are able to run on the mobile device, since Internet connectivity cannot be assumed to be available. Therefore, we evaluate the performance of several tag recommendation algorithms and discuss their applicability in the mobile sensing use-case.}, address = {Aachen, Germany}, author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd}, booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings}, interhash = {23d1cf49208d9a0c8b883dc69d4e444d}, intrahash = {2bab3f013052bc741e795c5c61aea5c9}, issn = {1613-0073}, publisher = {CEUR-WS}, title = {Tag Recommendations for SensorFolkSonomies}, url = {http://ceur-ws.org/Vol-1066/}, volume = 1066, year = 2013 } @incollection{atzmueller2013social, address = {Heidelberg, Germany}, author = {Atzmueller, Martin}, booktitle = {Mobile Social Networking: An Innovative Approach}, editor = {Chin, Alvin and Zhang, Daqing}, interhash = {1be75b604acbaf39653eeca9833782df}, intrahash = {cd910f3a16c9368e7b73407708452653}, publisher = {Springer Verlag}, title = {{Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities}}, year = 2013 } @book{rothberghofer2013proceedings, address = {Annecy, France}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, interhash = {f1f8980780e57fc36c9c44ce7d3673b4}, intrahash = {2b36fe460601217691180f0affbbe286}, publisher = {CONTEXT 2013}, title = {{Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}}, year = 2013 } @inproceedings{atzmueller2013towards, abstract = {With the rapid development of mobile technologies like, e.g., RFID tags, smartphones, and tablets, ambient intelligence applications have gained a huge popularity in recent years. However, most of the existing approaches aim at developing ambient environments that are rather static, and do not take the aspect of social interaction between the inhabitants into account. We argue that this is essential for smart classrooms, meeting rooms and other environments that are strictly based on mechanisms of human face-to-face interactions. In the context of the smart university, we propose the ambient classroom system for enhancing collaborative educational processes using sensor fusion, data mining, semantic technologies, and inference methods.}, author = {Atzmueller, Martin and Bobek, Szymon and Kibanov, Mark and Nalepa, Grzegorz J.}, booktitle = {Context'13 - Smart University Workshop (SmartUni) 2013}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, interhash = {69cbd239a85b5995c8d8fee31090dd59}, intrahash = {accf589237bba2f2503fe5292565f6a8}, title = {Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes}, year = 2013 } @inproceedings{mitzlaff2011community, abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups.}, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Analysis of Social Media and Ubiquitous Data}, doi = {10.1007/978-3-642-23599-3_5}, editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin}, interhash = {1ef065a81ed836dfd31fcc4cd4da133b}, intrahash = {6f0d819fd09357e11ef074c242f824a6}, isbn = {978-3-642-23598-6}, pages = {79-98}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {Community Assessment Using Evidence Networks}, url = {http://dx.doi.org/10.1007/978-3-642-23599-3_5}, volume = 6904, year = 2011 } @inproceedings{benz2010semantics, address = {Raleigh, NC, USA}, author = {Benz, Dominik and Hotho, Andreas and Stützer, Stefan and Stumme, Gerd}, booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)}, file = {benz2010semantics.pdf:benz2010semantics.pdf:PDF}, interhash = {d4a2f14bb27ce220ba43f651e42aeddc}, intrahash = {16c77e486fb8bc527eb7734b153932ab}, title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010semantics.pdf}, year = 2010 } @unpublished{orca15106, abstract = {This thesis is centred on the analysis of how the different groups of specialist experts that make up theoretical physics at large communicate and transmit knowledge between themselves. The analysis is carried out using two sociological frameworks: the Studies in Expertise and Experience (SEE) approach Collins and Evans, and mechanisms of sociological and institutional trust in the general sociology of science literature. I argue that the communication process is carried out in two ways: through interactional expertise that is based on deep comprehension when the interaction is between micro-cultures that are sociologically closely connected, and through lower forms of knowledge relying on trust for the micro-cultures that are sociologically far apart. Because the SEE framework is strongly based on the transmission of tacit knowledge, an analysis of the importance of tacit knowledge in theoretical physics is carried out to support the SEE analysis, and specific types of tacit knowledge are closely examined to understand how they shape theoretical physics practice. I argue that `physical intuition', one of the guiding principles of all theoretical activity, is in fact a type of tacit knowledge -somatic tacit knowledge- that is well known within social studies of science. The end result is a description of physics that highlights the importance of sociological mechanisms that hold the discipline together, and that permit knowledge to flow from the empirical to the theoretical poles of physics practice. The thesis is supported by unstructured interview material and by the author's prolonged interaction within theoretical physics professional circles }, author = {Galindo, Luis Reyes}, interhash = {b0bbac11cf3779f2d1728f3b21e6fa3c}, intrahash = {d80b5b720202b2353c0073c8994e7ad4}, school = {Cardiff University}, title = {The sociology of theoretical physics}, url = {http://orca.cf.ac.uk/15106/}, year = 2011 } @article{6069707, abstract = {An emerging category of devices at the edge of the Internet are consumer-centric mobile sensing and computing devices, such as smartphones, music players, and in-vehicle sensors. These devices will fuel the evolution of the Internet of Things as they feed sensor data to the Internet at a societal scale. In this article, we examine a category of applications that we term mobile crowdsensing, where individuals with sensing and computing devices collectively share data and extract information to measure and map phenomena of common interest. We present a brief overview of existing mobile crowdsensing applications, explain their unique characteristics, illustrate various research challenges, and discuss possible solutions. Finally, we argue the need for a unified architecture and envision the requirements it must satisfy.}, author = {Ganti, R.K. and Ye, Fan and Lei, Hui}, doi = {10.1109/MCOM.2011.6069707}, interhash = {8e5a7301965e4703f5caaf45f7a823d4}, intrahash = {44321e103e910e997453ffcb9877ac73}, issn = {0163-6804}, journal = {Communications Magazine, IEEE}, number = 11, pages = {32-39}, title = {Mobile crowdsensing: current state and future challenges}, url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6069707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6069707}, volume = 49, year = 2011 } @book{mitchell2010machine, address = {New York, NY [u.a.}, author = {Mitchell, Tom M.}, interhash = {8be657b11d4324941ba419c176c0229a}, intrahash = {adfebd1b18f04021ba0edd69ccaa3d96}, isbn = {0071154671 9780071154673}, publisher = {McGraw-Hill}, refid = {846511832}, title = {Machine learning}, url = {http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077}, year = 2010 } @article{gyongyi2004combating, author = {Gyöngyi, Zoltán and Garcia molina, Hector and Pedersen, Jan}, interhash = {428bfe5366151d07a234864481364e60}, intrahash = {cb480eab1c421d316fb8cb83f9688af3}, pages = {576--587}, title = {Combating web spam with trustrank}, url = {http://citeseer.uark.edu:8080/citeseerx/viewdoc/summary?doi=10.1.1.122.8129}, year = 2004 } @inproceedings{Scholz:2012:PHC:2411131.2411662, abstract = {While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks.}, acmid = {2411662}, address = {Washington, DC, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust}, doi = {10.1109/SocialCom-PASSAT.2012.49}, interhash = {9bc5d42018dbe8b926be214190258b3c}, intrahash = {b8771cc1fc02b5bb679c4a293eae517d}, isbn = {978-0-7695-4848-7}, numpages = {10}, pages = {312--321}, publisher = {IEEE Computer Society}, series = {SOCIALCOM-PASSAT '12}, title = {On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}, url = {http://dx.doi.org/10.1109/SocialCom-PASSAT.2012.49}, year = 2012 } @article{Fuchs2010379, abstract = {Subspace representations that preserve essential information of high-dimensional data may be advantageous for many reasons such as improved interpretability, overfitting avoidance, acceleration of machine learning techniques. In this article, we describe a new subspace representation of time series which we call polynomial shape space representation. This representation consists of optimal (in a least-squares sense) estimators of trend aspects of a time series such as average, slope, curve, change of curve, etc. The shape space representation of time series allows for a definition of a novel similarity measure for time series which we call shape space distance measure. Depending on the application, time series segmentation techniques can be applied to obtain a piecewise shape space representation of the time series in subsequent segments. In this article, we investigate the properties of the polynomial shape space representation and the shape space distance measure by means of some benchmark time series and discuss possible application scenarios in the field of temporal data mining.}, author = {Fuchs, Erich and Gruber, Thiemo and Pree, Helmuth and Sick, Bernhard}, doi = {10.1016/j.neucom.2010.03.022}, interhash = {88c499ac1dc9e9708e70187967494219}, intrahash = {fdf6865c1bece3f77cc3e29365a2c6b3}, issn = {0925-2312}, journal = {Neurocomputing}, note = {Artificial Brains}, number = {1–3}, pages = {379 - 393}, title = {Temporal data mining using shape space representations of time series}, url = {http://www.sciencedirect.com/science/article/pii/S0925231210002237}, volume = 74, year = 2010 } @incollection{ABP:11, author = {Atzmueller, Martin and Beer, Stephanie and Puppe, Frank}, booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources}, editor = {Brüggemann, Stefan and d’Amato, Claudia}, interhash = {9c0d3f10e985d8654d8a2eae39121ef2}, intrahash = {781410de8780f9033aae08162cbdf073}, pages = {149-167}, publisher = {IGI Global}, title = {{Data Mining, Validation and Collaborative Knowledge Capture}}, year = 2012 } @article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 }