Social network model based on the transmission of information

The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulat...

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Main Authors: Yan-heng LIU, Fei-peng LI, Xin SUN, Jian-qi ZHU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.001/
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author Yan-heng LIU
Fei-peng LI
Xin SUN
Jian-qi ZHU
author_facet Yan-heng LIU
Fei-peng LI
Xin SUN
Jian-qi ZHU
author_sort Yan-heng LIU
collection DOAJ
description The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulated,and moreover,the weighted directed topology model in order to well emulate the topology structure of the social network was constructed.Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic,and meanwhile,through analyzing the clustering coefficient,coreness and Gini coefficient of the network,the generated network has the characteristics of clustering,layer and heterogeneity which are shown in the real friendship network is verified.
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id doaj-art-d570c0c70d6f4fd4b4766f5b55bf6a6d
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d570c0c70d6f4fd4b4766f5b55bf6a6d2025-01-14T06:34:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-04-01341959671263Social network model based on the transmission of informationYan-heng LIUFei-peng LIXin SUNJian-qi ZHUThe topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulated,and moreover,the weighted directed topology model in order to well emulate the topology structure of the social network was constructed.Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic,and meanwhile,through analyzing the clustering coefficient,coreness and Gini coefficient of the network,the generated network has the characteristics of clustering,layer and heterogeneity which are shown in the real friendship network is verified.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.001/social networktopology modelingsimulation modeltransmission of informationscale-free
spellingShingle Yan-heng LIU
Fei-peng LI
Xin SUN
Jian-qi ZHU
Social network model based on the transmission of information
Tongxin xuebao
social network
topology modeling
simulation model
transmission of information
scale-free
title Social network model based on the transmission of information
title_full Social network model based on the transmission of information
title_fullStr Social network model based on the transmission of information
title_full_unstemmed Social network model based on the transmission of information
title_short Social network model based on the transmission of information
title_sort social network model based on the transmission of information
topic social network
topology modeling
simulation model
transmission of information
scale-free
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.001/
work_keys_str_mv AT yanhengliu socialnetworkmodelbasedonthetransmissionofinformation
AT feipengli socialnetworkmodelbasedonthetransmissionofinformation
AT xinsun socialnetworkmodelbasedonthetransmissionofinformation
AT jianqizhu socialnetworkmodelbasedonthetransmissionofinformation