Reconstruction of missing data in social networks based on temporal patterns of interactions

被引:61
|
作者
Stomakhin, Alexey [1 ]
Short, Martin B. [1 ]
Bertozzi, Andrea L. [1 ]
机构
[1] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90024 USA
基金
美国国家科学基金会;
关键词
EARTHQUAKE OCCURRENCES; MAXIMUM-LIKELIHOOD; POINT PROCESSES; BEHAVIOR; CRIME;
D O I
10.1088/0266-5611/27/11/115013
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We discuss a mathematical framework based on a self-exciting point process aimed at analyzing temporal patterns in the series of interaction events between agents in a social network. We then develop a reconstruction model that allows one to predict the unknown participants in a portion of those events. Finally, we apply our results to the Los Angeles gang network.
引用
收藏
页数:15
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