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Gossip: Identifying Central Individuals in a Social Network

The Dartmouth Interdisciplinary Network Research Group (DINR) is delighted to host Matthew Jackson, of Stanford for a workshop on social networks.

11/13/2015
12 pm – 2 pm
Class of 1930 Room, Rockefeller Center
Intended Audience(s): Faculty, Staff
Categories: Lectures & Seminars

Abstract:

How can we identify the most influential nodes in a network for initiating diffusion? Are people able to easily identify those people in their communities who are best at spreading information, and if so how?  Using theory and recent data, we examine these questions and see how the structure of social networks affects information transmission ranging from gossip to the diffusion of new products. In particular, a model of diffusion is used to define centrality and shown to nest other measures of centrality as extreme special cases. Then it will be shown that by tracking gossip within a network, nodes can easily learn to rank the centrality of other nodes without knowing anything about the network itself. The theoretical predictions are consistent with new field experiments. 

For details of other forthcoming events, please click here.

 

 

For more information, contact:
Kimberlee Hayward
kimberlee.a.hayward@tuck.dartmouth.edu
Permanent URL to this event: https://neukom.dartmouth.edu/events/event?event=37415

Events are free and open to the public unless otherwise noted.