板条箱 发表于 2025-3-21 18:03:21
书目名称Challenges in Social Network Research影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0223491<br><br> <br><br>书目名称Challenges in Social Network Research读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0223491<br><br> <br><br>休战 发表于 2025-3-21 23:45:39
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Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governancey) shock on the structure of a network. The bootstrap test compares two values of the Gini index, and the test is performed on the difference between them. The application is based on the interlocking directorship network. At the director level, Italian corporate governance is characterized by the w情爱 发表于 2025-3-22 09:29:14
Association Rules and Network Analysis for Exploring Comorbidity Patterns in Health Systemshenomenon is known as comorbidity, and it can be studied from the administrative databases of general practitioners’ prescriptions based on diagnoses. In this contribution, we propose a two-step strategy for analyzing comorbidity patterns. In the first step, we investigate the prescription data with狂热文化 发表于 2025-3-22 16:47:17
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A DEA-Based Network Formation Model. Micro and Macro Analysis the network as a date and then studies its phenomena, while the second deals with how and why networks are formed. The current study falls into this second vein and proposes a network formation model based on DEA. This work exploits the DEA methodology as a process generating relational data. In otGenome 发表于 2025-3-22 23:05:09
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