JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 470
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Defense and National Security
Abstract #312423 View Presentation
Title: Modeling Email Networks and Inferring Leadership Using Self-Exciting Point Processes
Author(s): Eric Fox*+
Companies: University of California, Los Angeles
Keywords: conditional intensity ; epidemic-type aftershock sequence models ; Hawkes process ; IkeNet data ; social networks

Self-exciting point process models are used to model a social network dataset consisting of email communications between officers at West Point Academy during a one year period beginning in May 2010. The models appear to adequately capture major clustering features in the data, and features of the model may be used to predict perceived leadership status within the social network. The results suggest that such models may be used for simulation, understanding basic properties of, and perhaps even prediction of underlying leadership status of social communication networks.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program

2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.