Enhancing Social Interactions at Conferences

Atzmüller, Martin; Benz, Dominik C.; Doerfel, Stephan; Hotho, Andreas; Jäschke, Robert; Macek, Bjoern Elmar; Mitzlaff, Folke; Scholz, Christoph; Stumme, Gerd

doi:10.1524/itit.2011.0631

Cited by 38 publications

(48 citation statements)

References 7 publications

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“…A first prototype of CONFERATOR [2], developed by the Knowledge and Data Engineering group, has been successfully deployed at the LWA 2010 conference at the University of Kassel in October 2010. The system is based on the UBICON framework 4 : The PEERRADAR is applied for managing social and ubiquitous/real contacts, supported by embedding social networks such as Facebook, XING, and LinkedIn, while the TALKRADAR enables the personalization of the conference program.…”

Section: Social Conferencingmentioning

confidence: 99%

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles

Atzmueller¹,

Doerfel²,

Hotho³

et al. 2012

Modeling and Mining Ubiquitous Social Media

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Abstract. This paper focuses on the community analysis of conference participants using their face-to-face contacts, visited talks, and tracks in a social and ubiquitous conferencing scenario. We consider human face-to-face contacts and perform a dynamic analysis of the number of contacts and their lengths. On these dimensions, we specifically investigate user-interaction and community structure according to different special interest groups during a conference. Additionally, using the community information, we examine different roles and their characteristic elements. The analysis is grounded using real-world conference data capturing community information about participants and their face-to-face contacts. The analysis results indicate, that the face-to-face contacts show inherent community structure grounded using the special interest groups. Furthermore, we provide individual and community-level properties, traces of different behavioral patterns, and characteristic (role) profiles.

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Section: Social Conferencingmentioning

confidence: 99%

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles

Atzmueller¹,

Doerfel²,

Hotho³

et al. 2012

Modeling and Mining Ubiquitous Social Media

Self Cite

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“…After that, we define our problem setting for link detection, and describe, how we model the underlying networks. Next, we present the two datasets collected at the LWA 2010, 3 , and the Hypertext 2011 4 conferences, and provide initial characteristic statistics.…”

Section: B Link Predictionmentioning

confidence: 99%

“…For the analysis, we apply real-world data collected at the LWA 2010 conference in Kassel, Germany, and the Hypertext 2011 conference in Eindhoven, The Netherlands, using the Conferator [3] system. The results of the analysis indicate that stronger ties have a strong influence on the contact behavior and the prediction performance.…”

Section: Introductionmentioning

confidence: 99%

“…4) Finally, we analyze the influence of stronger ties for the prediction and show its impact using real-world data of two conferences. The context of our work is established by the social conferencing application Conferator [3] implemented using the UBICON system. 1 It provides ubiquitous access to conference information and allows conference participants to manage their contacts at the conference and to personalize their conference program.…”

Section: Introductionmentioning

confidence: 99%

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On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties

Scholz

Atzmueller

Stumme

2012

2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing

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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. I. INTRODUCTIONWith the growing amount of social data, ubiquitous systems, and mobile social media applications transcending everyday life, the analysis of social networks is receiving increased attention. This especially relates to the dynamics and the creation of links between the networks' subjects [20], important aspects of offline social networking still remains largely unexplored. The analysis of such networks can potentially provide more direct answers to fundamental questions, e. g., how do personal links get established, is it possible to correlate this with roles, how does the intensity of personal communication evolve?In this paper, we aim at providing first insights for answering such questions. We focus on real-world offline networks of human contacts, that is, face-to-face conversations between persons. In contrast to virtual networks, these contacts were acquired using a ubiquitous RFID-based system that allows us to collect face-to-face contacts. Thus, we can observe and analyze social interaction at a very detailed level, including the specific event sequences and durations.We [16] in the context of networks of human contacts. We aim to predict new contacts based on network properties, as an adaptation of methods for online social networks. In addition, we extend the analysis in two important directions: First, we consider the length of the contacts in more detail, and analyze the impact of longer conversations. Second, we consider the prediction of future recurring contacts, i. e., renewed contacts between specific actors. For these, we analyze influence factors and patterns for establishing such contacts, and also consider their specific durations in a fine-grained dynamic analysis. Essentially, this leads to the analysis of the impact of stronger ties for new and recurring contacts.

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“…We evaluate our approach with the development of the first version of the social conference system Conferator [2], which enables the participants to create their personal schedule by picking talks, they are interested in, adding friends, sharing their social contact information and recalling the persons they met, by viewing their own contact history during the event, which gets automatically created by the same RFID technology that was used for our approach to capture conversations. The team consists of 10 developers, whose social and development activities were observed for about 3 months.…”

Section: A Use Case -Conferatormentioning

confidence: 99%

Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers

Macek

Atzmueller

Stumme

2011

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing

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Abstract-In order to support a software development team in its day-to-day operations, different data sources can be exploited. In this paper, we focus on CVS logs and communication profiles between developers provided by RFID-proximity information. We provide a novel approach for combining the data sources into a graph, and apply the pagerank algorithm for capturing interesting knowledge about resource and developer profiles. Additionally, we discuss the application in the software developer setting, and also for project management. The proposed approach is evaluated in the context of a real-world developer setting.

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Enhancing Social Interactions at Conferences

Cited by 38 publications

References 7 publications

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles

On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties

Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers

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