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

来源：

INVERSE PROBLEMS | 2011年 / 27卷 / 11期

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

页数：15

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