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The conference navigator by Brusilovsky  allows researchers attending a conference to organize the conference schedule and provides a lot of interaction capabilities. However, it is not connected to the real live activity of the user during the conference. In our application, we measured face-to-face conctacts, increased the precision of the localization component compared to previous RFIDbased approaches, and linked together tag information and the schedule of a workshop week. Furthermore, we implemented a light-weight integration with BibSonomy and other social systems used by participants.
Therefore, appropriate steps for their secure storage and access were implemented. , to location or contact information. In the analysis, we aim at providing implicit k-anonymity in the presentation and discussion: We provide results at the level of special interest groups, or (for more detailed results) at groups containing at least four participants. eu Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles 23 3 Related Work Regarding the tracking and analysis of conference participants, there have been several approaches, using RFID-tokens or Bluetooth-enabled devices.
For formalizing and assessing community structure in networks, this work focuses on two prominent measures: The modularity  and the segregation index . , a randomized graph). Thus, the modularity of a (disjoint) community clustering is defined to be the fraction of the edges that fall within the given clusters minus the expected such fraction if edges were distributed at random. This can be formalized as follows: The modularity MOD of a graph clustering is given by MOD = 1 2m Ai,j − i,j ki kj δ(Ci , Cj ) , 2m where A is the adjacency matrix, Ci and Cj are the clusters containing the nodes i and j respectively, ki and kj denote the degree of i and j.