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The emergence of triads on signed social network

文献类型：期刊论文

作者Li, Zhenpeng2; Tang, Xijin1
刊名EUROPEAN PHYSICAL JOURNAL PLUS
出版日期2022-03-22
卷号137期号:3页码:8
ISSN号2190-5444
DOI10.1140/epjp/s13360-022-02602-0
英文摘要Here, based on classic random graph model, i.e., the probability method, we investigate the emergence of triads in signed random social structure. The provided model shows that the emergence of triads is controlled through a critical threshold probability o(1/N). The triads interval estimation, and balanced and unbalanced triads limit distribution are also provided. We observe that signed social networks in real world are indeed extremely balanced and the number of triads is much higher than that of in background random signed graphs. The evidence of over-represented triads well above random expectations is explainable in terms of the degree distribution high skewness and high average clustering coefficient of empirical observed signed networks. Our proposed model can be used as the background distribution to measure balanced/unbalanced triads level in empirical signed networks. We hope that the results of this paper can be applied to information diffusion, trust prediction, evolutionary public goods game on social medias.
资助项目National Natural Science Foundation of China[71661001]
WOS研究方向Physics
语种英语
WOS记录号WOS:000772072300007
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/60233]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Zhenpeng
作者单位1.Univ Chinese Acad Sci, Acad Math & Syst Sci, CAS Zhongguancun East Rd, Beijing, Peoples R China
2.Taizhou Univ, Sch Elect & Informat Engn, Taizhou 318000, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Li, Zhenpeng,Tang, Xijin. The emergence of triads on signed social network[J]. EUROPEAN PHYSICAL JOURNAL PLUS,2022,137(3):8.
APA Li, Zhenpeng,&Tang, Xijin.(2022).The emergence of triads on signed social network.EUROPEAN PHYSICAL JOURNAL PLUS,137(3),8.
MLA Li, Zhenpeng,et al."The emergence of triads on signed social network".EUROPEAN PHYSICAL JOURNAL PLUS 137.3(2022):8.

入库方式： OAI收割

来源：数学与系统科学研究院

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