The emergence of triads on signed social network

doi:10.1140/epjp/s13360-022-02602-0

	The emergence of triads on signed social network
	Li, Zhenpeng 1; Tang, Xijin 2
刊名	EUROPEAN PHYSICAL JOURNAL PLUS
	2022-03-22
卷号	137 期号:3 页码:8
ISSN号	2190-5444
DOI	10.1140/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
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000772072300007
内容类型	期刊论文
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.Taizhou Univ, Sch Elect & Informat Engn, Taizhou 318000, Zhejiang, Peoples R China 2.Univ Chinese Acad Sci, Acad Math & Syst Sci, CAS Zhongguancun East Rd, Beijing, 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.