A local-world evolving hypernetwork model

Complex hypernetworks are ubiquitous in the real system. It is very important to investigate the evolution mecha- nisms. In this paper, we present a local-world evolving hypernetwork model by taking into account the hyperedge growth and local-world hyperedge preferential attachment mechanisms. At ea...

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Bibliographic Details
Published inChinese physics B Vol. 23; no. 1; pp. 532 - 538
Main Author 杨光勇 刘建国
Format Journal Article
LanguageEnglish
Published 2014
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ISSN1674-1056
2058-3834
DOI10.1088/1674-1056/23/1/018901

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Summary:Complex hypernetworks are ubiquitous in the real system. It is very important to investigate the evolution mecha- nisms. In this paper, we present a local-world evolving hypernetwork model by taking into account the hyperedge growth and local-world hyperedge preferential attachment mechanisms. At each time step, a newly added hyperedge encircles a new coming node and a number of nodes from a randomly selected local world. The number of the selected nodes from the local world obeys the uniform distribution and its mean value is m. The analytical and simulation results show that the hyperdegree approximately obeys the power-law form and the exponent of hyperdegree distribution is 7 = 2 + 1/m. Furthermore, we numerically investigate the node degree, hyperedge degree, clustering coefficient, as well as the average distance, and find that the hypemetwork model shares the scale-flee and small-world properties, which shed some light for deeply understanding the evolution mechanism of the real systems.
Bibliography:Yang Guang-Yong Liu Jian-Guo( Research Center of Complex Systems Science, University of Shanghai l'or Science and Technology, Shanghai 200093, China)
11-5639/O4
ISSN:1674-1056
2058-3834
DOI:10.1088/1674-1056/23/1/018901