Modularity analysisof users’mobile behavior in campus wireless network

Choosing a better and easily computed similarity metric is a challenge task,and the problem how the formedmodularity can help network operation attracts less attention.By introducing sparse linked interval(SLI) to represent wireless nodes' mobile trajectory,mobile nodes' modularity relatio...

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Main Authors: Chang-ling ZHOU, Qun QIAN, Yi-qiu ZHAO, Qun SHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-09-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.022/
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author Chang-ling ZHOU
Qun QIAN
Yi-qiu ZHAO
Qun SHANG
author_facet Chang-ling ZHOU
Qun QIAN
Yi-qiu ZHAO
Qun SHANG
author_sort Chang-ling ZHOU
collection DOAJ
description Choosing a better and easily computed similarity metric is a challenge task,and the problem how the formedmodularity can help network operation attracts less attention.By introducing sparse linked interval(SLI) to represent wireless nodes' mobile trajectory,mobile nodes' modularity relations via social network analysis methods were effectively revealed.Using real operational datasets of Peking University campus wireless network and public dataset as validation,three common motifs in modularity level,and their formation reasonsand relations to network managements were demonstrated.
format Article
id doaj-art-c88475bca0564c3bb8be5aeff6e33996
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-c88475bca0564c3bb8be5aeff6e339962025-01-14T06:42:17ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-09-013411111659678197Modularity analysisof users’mobile behavior in campus wireless networkChang-ling ZHOUQun QIANYi-qiu ZHAOQun SHANGChoosing a better and easily computed similarity metric is a challenge task,and the problem how the formedmodularity can help network operation attracts less attention.By introducing sparse linked interval(SLI) to represent wireless nodes' mobile trajectory,mobile nodes' modularity relations via social network analysis methods were effectively revealed.Using real operational datasets of Peking University campus wireless network and public dataset as validation,three common motifs in modularity level,and their formation reasonsand relations to network managements were demonstrated.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.022/wireless networkmobile trajectorysparse linked intervalsocial network analysissimilarity
spellingShingle Chang-ling ZHOU
Qun QIAN
Yi-qiu ZHAO
Qun SHANG
Modularity analysisof users’mobile behavior in campus wireless network
Tongxin xuebao
wireless network
mobile trajectory
sparse linked interval
social network analysis
similarity
title Modularity analysisof users’mobile behavior in campus wireless network
title_full Modularity analysisof users’mobile behavior in campus wireless network
title_fullStr Modularity analysisof users’mobile behavior in campus wireless network
title_full_unstemmed Modularity analysisof users’mobile behavior in campus wireless network
title_short Modularity analysisof users’mobile behavior in campus wireless network
title_sort modularity analysisof users mobile behavior in campus wireless network
topic wireless network
mobile trajectory
sparse linked interval
social network analysis
similarity
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.022/
work_keys_str_mv AT changlingzhou modularityanalysisofusersmobilebehaviorincampuswirelessnetwork
AT qunqian modularityanalysisofusersmobilebehaviorincampuswirelessnetwork
AT yiqiuzhao modularityanalysisofusersmobilebehaviorincampuswirelessnetwork
AT qunshang modularityanalysisofusersmobilebehaviorincampuswirelessnetwork