Time-variant interest community based query message routing algorithm in opportunity social network

To solve the problem that the successful rate of resource query is low in opportunity social network,a query message routing algorithm based on time-variant interest community was proposed.Two well-known mobile social datasets were firstly analyzed,and then the temporal and spatial correlations of u...

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Main Authors: Junlei BI, Zhiyuan LI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2019-09-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019177/
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author Junlei BI
Zhiyuan LI
author_facet Junlei BI
Zhiyuan LI
author_sort Junlei BI
collection DOAJ
description To solve the problem that the successful rate of resource query is low in opportunity social network,a query message routing algorithm based on time-variant interest community was proposed.Two well-known mobile social datasets were firstly analyzed,and then the temporal and spatial correlations of users were found.The time-variant interest communities based on temporal and spatial correlations of users were constructed.Next,a dynamic query routing on the constructed time-variant interest communities was proposed.Theoretical analysis shows that the proposed routing can run in O (nlog n) time.The comparisons between the proposed routing and state-of-the-art message delivery algorithms show that the proposed routing can keep high query success rate,reduce the average query latency and the hop count of a query and maintain low system overhead.
format Article
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issn 1000-436X
language zho
publishDate 2019-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-4dc1e426a5014ae0b2c872b9dc6294a92025-08-20T02:41:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-09-0140869459729582Time-variant interest community based query message routing algorithm in opportunity social networkJunlei BIZhiyuan LITo solve the problem that the successful rate of resource query is low in opportunity social network,a query message routing algorithm based on time-variant interest community was proposed.Two well-known mobile social datasets were firstly analyzed,and then the temporal and spatial correlations of users were found.The time-variant interest communities based on temporal and spatial correlations of users were constructed.Next,a dynamic query routing on the constructed time-variant interest communities was proposed.Theoretical analysis shows that the proposed routing can run in O (nlog n) time.The comparisons between the proposed routing and state-of-the-art message delivery algorithms show that the proposed routing can keep high query success rate,reduce the average query latency and the hop count of a query and maintain low system overhead.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019177/opportunistic social networkquery routingmobile social data analysistime-variant interest community
spellingShingle Junlei BI
Zhiyuan LI
Time-variant interest community based query message routing algorithm in opportunity social network
Tongxin xuebao
opportunistic social network
query routing
mobile social data analysis
time-variant interest community
title Time-variant interest community based query message routing algorithm in opportunity social network
title_full Time-variant interest community based query message routing algorithm in opportunity social network
title_fullStr Time-variant interest community based query message routing algorithm in opportunity social network
title_full_unstemmed Time-variant interest community based query message routing algorithm in opportunity social network
title_short Time-variant interest community based query message routing algorithm in opportunity social network
title_sort time variant interest community based query message routing algorithm in opportunity social network
topic opportunistic social network
query routing
mobile social data analysis
time-variant interest community
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019177/
work_keys_str_mv AT junleibi timevariantinterestcommunitybasedquerymessageroutingalgorithminopportunitysocialnetwork
AT zhiyuanli timevariantinterestcommunitybasedquerymessageroutingalgorithminopportunitysocialnetwork