Atzmueller, M.; Kibanov, M.; Scholz, C. & Stumme, G. (2013), 'Conferator - a Social System for Conference and Contact Management ' , INFORMATIK 2013, Poster .
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Atzmueller, M. & Lemmerich, F. (2013), 'Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information', International Journal of Web Science (Special Issue on Social Web Search and Mining) 2 (1/2) .
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Atzmueller, M. & Scholz, C., ed. (2013), Proceedings of the 2013 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2013) , ECML/PKDD 2013 , Prague, Czech Republic .
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Atzmueller, M. & Hilgenberg, K. (2013), SDCF - A Sensor Data Collection Framework for Social and Ubiquitous Environments: Challenges and First Experiences in Sensor-based Social Networks (Abstract), in 'Proc. Sunbelt XXXIII: Annual Meeting of the International Network for Social Network Analysis' , INSNA, Hamburg, Germany .
[BibTeX] [Endnote]

Atzmueller, M. & Hilgenberg, K. (2013), Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection, in 'Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013' , ACM Press, New York, NY, USA .
[BibTeX] [Endnote]

Becker, M.; Mueller, J.; Hotho, A. & Stumme, G. (2013), A Generic Platform for Ubiquitous and Subjective Data, in '1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings' , ACM, New York, NY, USA , pp. 1175--1182 .
[BibTeX] [Endnote]

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.

Becker, M.; Caminiti, S.; Fiorella, D.; Francis, L.; Gravino, P.; Haklay, M. (M.; Hotho, A.; Loreto, V.; Mueller, J.; Ricchiuti, F.; Servedio, V. D. P.; Sîrbu, A. & Tria, F. (2013), 'Awareness and Learning in Participatory Noise Sensing', PLoS ONE 8 (12) , e81638 .
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<p>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.</p>

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.

Doerfel, S.; Hotho, A.; Kartal-Aydemir, A.; Roßnagel, A. & Stumme, G. (2013), Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme , Vieweg + Teubner Verlag .
[BibTeX] [Endnote]

Kibanov, M.; Erdmann, D. J. & Atzmueller, M. (2013), How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned, in Stefan Wagner & Horst Lichter, ed., 'Software Engineering 2013 - Workshopband' , Gesellschaft für Informatik, .
[BibTeX] [Endnote]

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.

Kibanov, M.; Erdmann, D. J. & Atzmueller, M. (2013), How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned, in 'Software Engineering 2013 - Workshopband' , Gesellschaft für Informatik, .
[BibTeX] [Endnote]

Kibanov, M.; Atzmueller, M.; Scholz, C. & Stumme, G. (2013), On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity, in 'Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on' , IEEE Computer Society, Los Alamitos, CA, USA .
[BibTeX] [Endnote]

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.

Kibanov, M.; Atzmueller, M.; Scholz, C. & Stumme, G. (2013), On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity, in 'Proc. IEEE CPSCom 2013' , IEEE Computer Society, Boston, MA, USA .
[BibTeX] [Endnote]

Mitzlaff, F.; Atzmueller, M.; Stumme, G. & Hotho, A. (2013), Semantics of User Interaction in Social Media, in Gourab Ghoshal; Julia Poncela-Casasnovas & Robert Tolksdorf, ed., 'Complex Networks IV' , Springer Verlag, Heidelberg, Germany .
[BibTeX] [Endnote]

Mitzlaff, F.; Atzmueller, M.; Benz, D.; Hotho, A. & Stumme, G. (2013), 'User-Relatedness and Community Structure in Social Interaction Networks' , cite arxiv:1309.3888 .
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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.

Mueller, J.; Doerfel, S.; Becker, M.; Hotho, A. & Stumme, G. (2013), Tag Recommendations for SensorFolkSonomies, in 'Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings' , ACM, , pp. New York, NY, USA .
[BibTeX] [Endnote]

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.

Scholz, C.; Atzmueller, M.; Kibanov, M. & Stumme, G. (2013), How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks, in 'ASONAM' .
[BibTeX] [Endnote]

Scholz, C.; Atzmueller, M.; Kibanov, M. & Stumme, G. (2013), How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks, in 'Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on' .
[BibTeX] [Endnote]

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.

Schulz, T.; Skistims, H.; Zirfas, J.; Atzmueller, M. & Scholz, C. (2013), 'Rechtliche Ausgestaltung sozialer Konferenzplattformen', ZD 2 , 60--65 .
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2011

Mitzlaff, F.; Atzmueller, M.; Stumme, G. & Hotho, A. (2011), On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission), in 'Proc. LWA 2013 (KDML Special Track)' , University of Bamberg, Bamberg, Germany .
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