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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-04-01
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Series: | Tongxin xuebao |
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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. |
format | Article |
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 |