连续不断 发表于 2025-3-21 18:19:33

书目名称Advances in Social Network Mining and Analysis影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0149731<br><br>        <br><br>书目名称Advances in Social Network Mining and Analysis读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0149731<br><br>        <br><br>

CBC471 发表于 2025-3-21 20:47:12

Christopher Frauenberger,Winfried Ritschld produce values for these statistics which are both stable and close to the observed ones. Stable statistics can also be used to identify phase transitions, since any change in a normally stable statistic indicates a substantial change in the nature of the communication dynamics. We describe model

和平主义者 发表于 2025-3-22 01:20:36

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Dungeon 发表于 2025-3-22 05:00:54

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逃避系列单词 发表于 2025-3-22 10:37:32

0302-9743 allenges residing in these disparate social network systems, including identifying common static topol- ical properties and dynamic properties during the formation and evolution of these social networks, and how contextual information c978-3-642-14928-3978-3-642-14929-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

Small-Intestine 发表于 2025-3-22 14:39:28

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不妥协 发表于 2025-3-22 18:56:54

Communication Dynamics of Blog Networks,ld produce values for these statistics which are both stable and close to the observed ones. Stable statistics can also be used to identify phase transitions, since any change in a normally stable statistic indicates a substantial change in the nature of the communication dynamics. We describe model

不可救药 发表于 2025-3-22 22:39:08

Finding Spread Blockers in Dynamic Networks,ustering coefficient seems to be a good indicator, while its static version performs worse than the random ranking. This provides simple practical and locally computable algorithms for identifying key blockers in a network.

Baffle 发表于 2025-3-23 04:47:58

Social Network Mining with Nonparametric Relational Models,ionships between entities and it performs an interpretable cluster analysis. We demonstrate the performance of IHRMs with three social network applications. We perform community analysis on the Sampson’s monastery data and perform link analysis on the Bernard & Killworth data. Finally we apply IHRMs

Terrace 发表于 2025-3-23 09:07:42

Conference proceedings 2010ers are - creasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topol- ical properties and dynamic properties during the formation and evolution of these social networks, and how contextual information c
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查看完整版本: Titlebook: Advances in Social Network Mining and Analysis; Second International Lee Giles,Marc Smith,Haizheng Zhang Conference proceedings 2010 The Ed