Detecting Dynamic and Static Geo-Social Communities

被引：0
|
作者：
Lin, Frank [1 ]
Renner, Ray [2 ]
机构：
[1] Northrop Grumman Informat Syst, Mclean, VA 22102 USA
[2] Northrop Grumman Informat Syst, Chantilly, VA USA
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING FOR GEOSPATIAL RESEARCH AND APPLICATION (COM.GEO) | 2013年
关键词：
Graph Algorithms; Social Network Analysis; Geo-Social Community Detection; Label Propagation Algorithm;
D O I：
10.1109/COMGEO.2013.24
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
How communities form can depend on the geospatial location of people within a social network. Here, we investigated the implementation of the label propagation algorithm (LPA) and LabelRankT community detection algorithm in Gephi, a graph visualization tool. We researched extending these community detection algorithms to incorporate the geospatial distance between nodes in a network as a limiting factor for the automatic detection of community formation.
引用
收藏
页码：134 / +
页数：2
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