Paper on the micro-side of network analysis

Spoken Networks: Analyzing face-to-face conversations and how they shape our social connections.

Tanzeem Choudhury (Dartmouth College)

With the proliferation of sensor-rich mobile devices, it is becoming increasingly easy to collect data that capture the real-world social interactions of entire groups of people. These new data sets provide opportunities to study the social networks of people as they are observed “in the wild.” However, the traditional methods of social network analysis are often inadequate for such behavioral data. Most existing techniques apply only to static, binary data. Social networks derived from behavioral data will almost always be temporal and will often have finer grained observations about interactions as opposed to simple binary indicators. Thus, new techniques are needed that can take into account variable tie intensities and the dynamics of a network as it evolves in time. In this talk, I will provide an overview of the computational framework we have developed for modeling the micro-level dynamics of human interactions as well as the macro-level network structure and its dynamics from local, noisy sensor observations.

Furthermore, by studying the micro and macro levels simultaneously we are able to link dyad-level interaction dynamics (local behavior) to network-level prominence (a global property). I will conclude by providing some specific examples of how the methods we have developed can be applied more broadly to better understand and enhance the lives of people.

(To learn more about Tanzeem visit:


Center for Complex Network Research (CCNR SEMINAR)
Dana Research Center
110 Forsyth Street, 5th Fl. (Large Elevator)
Boston, MA 02115

This blurb courtesy of David Lazer.


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