The Interior of a Network

被引：0
|
作者：
Pfaltz, John L. [1 ]
机构：
[1] Univ Virginia, Dept Comp Sci, Charlottesville, VA 22903 USA
来源：
2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2020年
关键词：
GRAPH SIMILARITY; CENTRALITY;
D O I：
10.1109/ASONAM49781.2020.9381298
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In his study of social network systems, Granovetter [9], made the distinction between strong and weak ties between individuals. We show that these weak ties constitute a well-defined "interior", I, that is part of every network, N. From I, which is an algebraic matroid, one can rigorously define network properties such as "similarity" or "betweenness" whose implementation is scalable.
引用
收藏
页码：611 / 614
页数：4
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