[Objective] Study on the effects of different triadic structures on follow influence in relation formation. [Methods] This paper uses questionnaires on 221 students at different time to get the dynamic evolution process of this network, and then analyzes the effects of different triadic structures on relation formation. [Results] The results show that triadic structures with reciprocity, transitivity and revesed relationship are more likely to form a new relation. [Limitations] This paper is unable to completely control the influences besides relation network. [Conclusions] The pattern of online and offline relation formation is the same, which is valuable for bussiness.
吴江, 张劲帆. 社会网络三元结构中关注影响力研究——以学生关系网络为例[J]. 现代图书情报技术, 2015, 31(10): 72-80.
Wu Jiang, Zhang Jinfan. Research on Follow Influence of Triadic Structure in Social Network——Take Student Relation Network as an Example. New Technology of Library and Information Service, 2015, 31(10): 72-80.
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