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.
ER - TY - JOUR AU - Becker, Martin AU - Caminiti, Saverio AU - Fiorella, Donato AU - Francis, Louise AU - Gravino, Pietro AU - Haklay, Mordechai (Muki) AU - Hotho, Andreas AU - Loreto, Vittorio AU - Mueller, Juergen AU - Ricchiuti, Ferdinando AU - Servedio, Vito D. P. AU - Sîrbu, Alina AU - Tria, Francesca T1 - Awareness and Learning in Participatory Noise Sensing JO - PLOS ONE PY - 2013/12 VL - 8 IS - 12 SP - EP - UR - M3 - 10.1371/journal.pone.0081638 KW - 2013 KW - EveryAware KW - WideNoise KW - article KW - iteg KW - itegpub KW - l3s KW - sitc L1 - SN - N1 - N1 - AB - The development of ICT infrastructures has facilitated the emergenceof 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. ER - TY - BOOK AU - Doerfel, Stephan AU - Hotho, Andreas AU - Kartal-Aydemir, Aliye AU - Roßnagel, Alexander AU - Stumme, Gerd A2 - T1 - Informationelle Selbstbestimmung Im Web 2.0 Chancen Und Risiken Sozialer Verschlagwortungssysteme PB - Vieweg + Teubner Verlag AD - PY - 2013/ VL - IS - SP - EP - UR - http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642380556 M3 - KW - 2013 KW - info20 KW - info20pub KW - informationelle KW - iteg KW - itegpub KW - l3s KW - myown KW - selbstbestimmung KW - web L1 - SN - 9783642380556 3642380557 N1 - N1 - AB - ER - TY - CONF AU - Kibanov, Mark AU - Erdmann, Dominik J. AU - Atzmueller, Martin A2 - Wagner, Stefan A2 - Lichter, Horst T1 - How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned T2 - Software Engineering 2013 - Workshopband PB - Gesellschaft für Informatik CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - http://www4.in.tum.de/~kuhrmann/se2013/kibanov.pdf M3 - KW - 2013 KW - iteg KW - itegpub KW - l3s KW - software_engineering KW - softwareauswahl L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Kibanov, Mark AU - Erdmann, Dominik J. AU - Atzmueller, Martin A2 - T1 - How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned T2 - Software Engineering 2013 - Workshopband PB - Gesellschaft für Informatik CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - analysis KW - framework KW - iteg KW - itegpub KW - l3s KW - software KW - venus L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Kibanov, Mark AU - Atzmueller, Martin AU - Scholz, Christoph AU - Stumme, Gerd A2 - T1 - On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity T2 - Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on PB - IEEE Computer Society CY - Los Alamitos, CA, USA PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - communities KW - evolution KW - iteg KW - itegpub KW - l3s KW - myown KW - ubicon L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Kibanov, Mark AU - Atzmueller, Martin AU - Scholz, Christoph AU - Stumme, Gerd A2 - T1 - On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity T2 - Proc. IEEE CPSCom 2013 PB - IEEE Computer Society CY - Boston, MA, USA PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - community KW - conferator KW - face-to-face KW - iteg KW - itegpub KW - l3s KW - mining KW - myown KW - sna KW - social KW - venus L1 - SN - N1 - N1 - AB - ER - TY - CHAP AU - Mitzlaff, Folke AU - Atzmueller, Martin AU - Stumme, Gerd AU - Hotho, Andreas A2 - Ghoshal, Gourab A2 - Poncela-Casasnovas, Julia A2 - Tolksdorf, Robert T1 - Semantics of User Interaction in Social Media T2 - Complex Networks IV PB - Springer Verlag CY - Heidelberg, Germany PY - 2013/ VL - 476 IS - SP - EP - UR - M3 - 10.1007/978-3-642-36844-8_2 KW - 2013 KW - interaction KW - iteg KW - itegpub KW - l3s KW - media KW - myown KW - social KW - user KW - venus L1 - SN - N1 - N1 - AB - ER - TY - GEN AU - Mitzlaff, Folke AU - Atzmueller, Martin AU - Benz, Dominik AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - User-Relatedness and Community Structure in Social Interaction Networks JO - PB - AD - PY - 2013/ VL - IS - SP - EP - UR - http://arxiv.org/abs/1309.3888 M3 - KW - 2013 KW - community KW - evidence KW - iteg KW - itegpub KW - l3s KW - myown KW - networks KW - social L1 - N1 - N1 - AB - 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. ER - TY - CONF AU - Mueller, Juergen AU - Doerfel, Stephan AU - Becker, Martin AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Tag Recommendations for SensorFolkSonomies T2 - Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings PB - ACM CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - RecSys KW - everyaware KW - folksonomy KW - iteg KW - itegpub KW - l3s KW - myown KW - recommendation KW - rsweb KW - sensor KW - sitc KW - tag KW - widenoise L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Scholz, Christoph AU - Atzmueller, Martin AU - Kibanov, Mark AU - Stumme, Gerd A2 - T1 - How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks T2 - ASONAM PB - CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - analysis KW - iteg KW - itegpub KW - l3s KW - link KW - myown KW - network KW - prediction KW - social L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Scholz, Christoph AU - Atzmueller, Martin AU - Kibanov, Mark AU - Stumme, Gerd A2 - T1 - How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks T2 - Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on PB - CY - Los Alamitos, CA, USA PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - analysis KW - iteg KW - itegpub KW - l3s KW - link KW - myown KW - network L1 - SN - N1 - N1 - AB - 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. ER - TY - JOUR AU - Schulz, Thomas AU - Skistims, Hendrik AU - Zirfas, Julia AU - Atzmueller, Martin AU - Scholz, Christoph T1 - Rechtliche Ausgestaltung sozialer Konferenzplattformen JO - ZD PY - 2013/ VL - 2 IS - SP - 60 EP - 65 UR - M3 - KW - 2013 KW - analysis KW - conferator KW - iteg KW - itegpub KW - l3s KW - media KW - social KW - venus L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Mitzlaff, Folke AU - Atzmueller, Martin AU - Stumme, Gerd AU - Hotho, Andreas A2 - T1 - On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission) T2 - Proc. LWA 2013 (KDML Special Track) PB - University of Bamberg CY - Bamberg, Germany PY - 2011/ M2 - VL - IS - SP - EP - UR - M3 - KW - 2013 KW - data KW - iteg KW - itegpub KW - l3s KW - mining KW - myown KW - social KW - ubiquitous KW - venus KW - web L1 - SN - N1 - N1 - AB - ER -