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Predicting Homophily and Social Network Connectivity From Dyadic Behavioral Similarity Trajectory Clusters
Social Science Computer Review ( IF 3.0 ) Pub Date : 2020-09-15 , DOI: 10.1177/0894439320923123
Brandon Sepulvado 1 , Michael Lee Wood 2 , Ethan Fridmanski 3 , Cheng Wang 4 , Matthew J. Chandler 5 , Omar Lizardo 6 , David Hachen 3
Affiliation  

The similarity between pairs of people is often measured on relatively static traits and at a given point in time. Moving beyond this approach, a burgeoning line of research is investigating tempor...

中文翻译:

从二元行为相似性轨迹集群预测同质性和社交网络连接性

成对的人之间的相似性通常是根据相对静态的特征和在给定的时间点来衡量的。超越这种方法,一个新兴的研究线正在调查时间……
更新日期:2020-09-15
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