Modeling Network Structure Using Graph Motifs

Dec 29, 2010 · New York, United States of America

The great talks continue this month with Drew Conway from NYU (and R Meetup organizer) presenting on Modeling Network Structure Using Graph Motifs: The SSRN Conflict Studies eJournal Co-authorship Network. As usual we'll start with networking and nerd talk around 6:45, announcements at 7:10, and the talk will start right after. After Drew has dropped a knowledge bomb on everyone we'll convene to The Village Pourhouse at 11th Street and 3rd Ave. Here's the abstract for Drew's talk:Network structures are extremely important to the study of international relations. Much of the data in this sub-field are naturally represented as networks; including, trade, diplomatic and conflict relationships. The social structure of various networked organization is also of interest to many researches—particularly terrorist or criminal networks. In most cases, however, this data is incomplete or prone to high degrees of error, making it difficult to properly analyze. In the following paper I present a new method for modeling network structure using graph motifs as a means to both generate simulated network data with particular structural characteristic, or estimate missing network data. To test the effectiveness of the proposed method a network data set that approximates a census of all actual relationships is needed. In addition, therefore, I present as new data set on the co-authorship network of conflict studies scholars.

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