The emergence of triads on signed social network
Li, Zhenpeng1; Tang, Xijin2
AbstractHere, 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.
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[71661001]
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000772072300007
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Document Type期刊论文
Corresponding AuthorLi, Zhenpeng
Affiliation1.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
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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.
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