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The Structure Entropy of Social Networks

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Micro triadic structure is an important motif and serves the building block of complex networks.In this paper,the authors define structure entropy for a social network and explain this concept by using the coded triads proposed by Davis and Leinhardt in 1972.The proposed structure entropy serves as a new macro-evolution index to measure the network's stability at a given timestamp.Empirical analysis of real-world network structure entropy discloses rich information on the mechanism that yields given triadic motifs frequency distribution.This paper illustrates the intrinsic link between the micro dyadic/triadic motifs and network structure entropy.Importantly,the authors find that the high proportion of reciprocity and transitivity results in the emergence of hierarchy,order,and cooperation of online social networks.

Dyadic and triadic motifsnetwork structure entropyreciprocity and transitivity

LI Zhenpeng、YAN Zhihua、YANG Jian、TANG Xijin

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School of Electronics and Information Engineering,Taizhou University,Linhai 317000,China

Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China

Yunnan Key Laboratory of Smart City in Cyberspace Security,Yuxi Normal University,Yuxi 653100,China

Univer-sity of Chinese Academy of Sciences,Beijing 100039,China

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国家自然科学基金国家自然科学基金project of Yunnan Key Laboratory of Smart City and Cyberspace Security

7166100171971190202105AG070010

2024

系统科学与复杂性学报(英文版)
中国科学院系统科学研究所

系统科学与复杂性学报(英文版)

EI
影响因子:0.181
ISSN:1009-6124
年,卷(期):2024.37(3)
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