The Brain is a Social Network

被引：0
作者：
Tomazzoli, Claudio [1 ]
Storti, Silvia Francesca [1 ]
Galazzo, Ilaria Boscolo [1 ]
Cristani, Matteo [1 ]
Menegaz, Gloria [1 ]
机构：
[1] Univ Verona, Verona, Italy
来源：
KDWEB 2017: KNOWLEDGE DISCOVERY ON THE WEB | 2017年 / 1959卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social Network Analysis is employed widely as a means to compute the probability that a given message flows through a social network. This approach is mainly grounded upon the correct usage of three basic graph-theoretic measures: degree centrality, closeness centrality and betweeness centrality. We developed a model, using Semantic Social Network Analysis, that overcomes the drawbacks of general indices and we found that this model can be applied, after appropriate adaptations, to a very different domain such as brain connectivity.
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