湖南科技大学学报(自然科学版)
湖南科技大學學報(自然科學版)
호남과기대학학보(자연과학판)
JOURNAL OF HUNAN UNIVERSITY OF SCIENCE & TECHNOLOGY(NATURAL SCIENCE EDITION)
2014年
1期
68-72
,共5页
黄银锋%彭三城%冯梓远%郭树长%赵义%陈桂贤
黃銀鋒%彭三城%馮梓遠%郭樹長%趙義%陳桂賢
황은봉%팽삼성%풍재원%곽수장%조의%진계현
移动社会网络%SMS/MMS%社会关系图%行为分析
移動社會網絡%SMS/MMS%社會關繫圖%行為分析
이동사회망락%SMS/MMS%사회관계도%행위분석
mobile social network%SMS/MMS%social relationship graph%behavior analysis
为了有效地分析移动社会网络所具有的复杂网络特性,结合实际短信网络,研究基于短信/彩信(simple messaging service/multimedia messaging service,SMS/MMS)的移动社会网络行为建模方法及分析机制。首先,采用短信/彩信通信记录来构建社会关系图,并提出了基于社会关系图的移动社会网络行为分析机制。给出了移动社会网络行为分析的相关要素及其计算模型,采用社会网络分析的方法对出度、入度、用户朋友数、活跃度、亲密度、聚类系数等特征进行统计分析。实验结果表明:短信网络具有复杂网络的特性,活跃度能更好地刻画手机用户的移动社会网络行为。该方法能有效地用于评价移动社会网络中节点影响力的大小。
為瞭有效地分析移動社會網絡所具有的複雜網絡特性,結閤實際短信網絡,研究基于短信/綵信(simple messaging service/multimedia messaging service,SMS/MMS)的移動社會網絡行為建模方法及分析機製。首先,採用短信/綵信通信記錄來構建社會關繫圖,併提齣瞭基于社會關繫圖的移動社會網絡行為分析機製。給齣瞭移動社會網絡行為分析的相關要素及其計算模型,採用社會網絡分析的方法對齣度、入度、用戶朋友數、活躍度、親密度、聚類繫數等特徵進行統計分析。實驗結果錶明:短信網絡具有複雜網絡的特性,活躍度能更好地刻畫手機用戶的移動社會網絡行為。該方法能有效地用于評價移動社會網絡中節點影響力的大小。
위료유효지분석이동사회망락소구유적복잡망락특성,결합실제단신망락,연구기우단신/채신(simple messaging service/multimedia messaging service,SMS/MMS)적이동사회망락행위건모방법급분석궤제。수선,채용단신/채신통신기록래구건사회관계도,병제출료기우사회관계도적이동사회망락행위분석궤제。급출료이동사회망락행위분석적상관요소급기계산모형,채용사회망락분석적방법대출도、입도、용호붕우수、활약도、친밀도、취류계수등특정진행통계분석。실험결과표명:단신망락구유복잡망락적특성,활약도능경호지각화수궤용호적이동사회망락행위。해방법능유효지용우평개이동사회망락중절점영향력적대소。
In order to evaluate the characteristics of complex network in mobile social networks,a modeling method and analytical mechanism on behavior of mobile social network were proposed based on simple messaging service /multimedia messaging service (SMS/MMS )by combining the characteristics of real short message network. At first, social relationship graph was constructed using SMS/MMS. In addition, an analysis mechanism on behavior of mobile social network was presented based on the social relationship graph.The related factors of behavior analysis and their computing model were provided,and the method of social network analysis was used to count and analyze the characteristics of mobile social network,such as out-degree,in-degree,the number of friends,activity degree,intimacy degree,and clustering coefficient.Simulation results show that the real short message network has the characteristics of complex networks and that activity degree can be used to characterize the behavior of users in mobile social networks.The method can be used to evaluate the degree of nodes’influence in mobile social network.