Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism
Many real systems exhibit the processes of growth and shrink. In this paper, we propose a network evolution model based on the simultaneous application of both node addition and deletion rules. To obtain a higher clustering that is present in real social networks, the model employs the triadic forma...
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creator | Sidorov, Sergei Mironov, Sergei Emelianov, Timofei D |
description | Many real systems exhibit the processes of growth and shrink. In this paper,
we propose a network evolution model based on the simultaneous application of
both node addition and deletion rules. To obtain a higher clustering that is
present in real social networks, the model employs the triadic formation step
at each iteration. The results show that the degree distribution in the
networks generated based on this model follows a power law. |
doi_str_mv | 10.48550/arxiv.2312.05543 |
format | Article |
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we propose a network evolution model based on the simultaneous application of
both node addition and deletion rules. To obtain a higher clustering that is
present in real social networks, the model employs the triadic formation step
at each iteration. The results show that the degree distribution in the
networks generated based on this model follows a power law.</description><identifier>DOI: 10.48550/arxiv.2312.05543</identifier><language>eng</language><subject>Physics - Data Analysis, Statistics and Probability ; Physics - Physics and Society</subject><creationdate>2023-12</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2312.05543$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2312.05543$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Sidorov, Sergei</creatorcontrib><creatorcontrib>Mironov, Sergei</creatorcontrib><creatorcontrib>Emelianov, Timofei D</creatorcontrib><title>Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism</title><description>Many real systems exhibit the processes of growth and shrink. In this paper,
we propose a network evolution model based on the simultaneous application of
both node addition and deletion rules. To obtain a higher clustering that is
present in real social networks, the model employs the triadic formation step
at each iteration. The results show that the degree distribution in the
networks generated based on this model follows a power law.</description><subject>Physics - Data Analysis, Statistics and Probability</subject><subject>Physics - Physics and Society</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj7tOxDAURN1QoIUPoMI_kOBH7DglWvGSVqJg--ja94Y1JA5yAgt_TwhbjeZoNNJh7EqKsnLGiBvI3_GrVFqqUhhT6XP29hKgp6LLRDzRfBzzO3-lRBnmOCY-jEg9P8b5wAExrgwS8oXSWsaOp2UzcQ8TIV_InCNgDDz04_SZiQ8UDpDiNFywsw76iS5PuWH7-7v99rHYPT88bW93BdhaF1460zS192isA1mBlhgsGN80lpCEc2i7UKngUHgtpPXKOoVOLfMuyFpv2PX_7SrbfuQ4QP5p_6TbVVr_AuhsU20</recordid><startdate>20231209</startdate><enddate>20231209</enddate><creator>Sidorov, Sergei</creator><creator>Mironov, Sergei</creator><creator>Emelianov, Timofei D</creator><scope>GOX</scope></search><sort><creationdate>20231209</creationdate><title>Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism</title><author>Sidorov, Sergei ; Mironov, Sergei ; Emelianov, Timofei D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-b185997bbd568a14a31dc6a5b996ede088d6fc42c8d0b3016b2682d82568fc173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Physics - Data Analysis, Statistics and Probability</topic><topic>Physics - Physics and Society</topic><toplevel>online_resources</toplevel><creatorcontrib>Sidorov, Sergei</creatorcontrib><creatorcontrib>Mironov, Sergei</creatorcontrib><creatorcontrib>Emelianov, Timofei D</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sidorov, Sergei</au><au>Mironov, Sergei</au><au>Emelianov, Timofei D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism</atitle><date>2023-12-09</date><risdate>2023</risdate><abstract>Many real systems exhibit the processes of growth and shrink. In this paper,
we propose a network evolution model based on the simultaneous application of
both node addition and deletion rules. To obtain a higher clustering that is
present in real social networks, the model employs the triadic formation step
at each iteration. The results show that the degree distribution in the
networks generated based on this model follows a power law.</abstract><doi>10.48550/arxiv.2312.05543</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Data Analysis, Statistics and Probability Physics - Physics and Society |
title | Scale-free network generation model with addition and deletion of nodes based on triadic closure mechanism |
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