%0 %0 Book Section %A Atzmueller, Martin %D 2013 %T Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities %E Chin, Alvin & Zhang, Daqing %B Mobile Social Networking: An Innovative Approach %C Heidelberg, Germany %I Springer Verlag %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 incollection %4 %# %$ %F atzmueller2013social %K 2013, analysis, iteg, itegpub, l3s, media, network, social, venus %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Scholz, Christoph; Atzmueller, Martin; Kibanov, Mark & Stumme, Gerd %D 2013 %T How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks %E %B ASONAM %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F scholz2013people %K 2013, analysis, iteg, itegpub, l3s, link, myown, network, prediction, social %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Scholz, Christoph; Atzmueller, Martin; Kibanov, Mark & Stumme, Gerd %D 2013 %T How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks %E %B Advances in Social Networks Analysis and Mining (ASONAM), 2013 International Conference on %C Los Alamitos, CA, USA %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F scholz2013people %K 2013, analysis, iteg, itegpub, l3s, link, myown, network %X 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. %Z %U %+ %^ %0 %0 Journal Article %A Atzmueller, Martin %D 2012 %T Mining Social Media: Key Players, Sentiments, and Communities %E %B WIREs: Data Mining and Knowledge Discovery %C %I %V In Press %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F Atzmueller:12c %K 2012, analysis, community, data, detection, itegpub, mining, network, opinion, sentiment, social, venus, vikamine %X %Z %U %+ %^ %0 %0 Journal Article %A Berendt, Bettina; Hotho, Andreas & Stumme, Gerd %D 2010 %T Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0 %E %B Web Semantics: Science, Services and Agents on the World Wide Web %C %I %V 8 %6 %N 2-3 %P 95 - 96 %& %Y %S %7 %8 %9 %? %! %Z %@ 1570-8268 %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F berendt2010bridging %K 2010, data, introduction, itegpub, l3s, mining, myown, network, semantic, social, unik, web %X %Z Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences %U http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7 %+ %^