decoction
发表于 2025-3-21 16:44:32
书目名称Models, Algorithms, and Technologies for Network Analysis影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0636861<br><br> <br><br>书目名称Models, Algorithms, and Technologies for Network Analysis读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0636861<br><br> <br><br>
fertilizer
发表于 2025-3-21 22:28:22
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狂怒
发表于 2025-3-22 03:28:27
Boris I. Goldengorin,Valery A. Kalyagin,Panos M. PPresents state-of-the-art techniques from researchers and practitioners from different fields.Presents new tools for developing practical algorithms for solving problems arising for different type of
从容
发表于 2025-3-22 08:30:45
Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/m/image/636861.jpg
KEGEL
发表于 2025-3-22 11:12:08
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Itinerant
发表于 2025-3-22 12:53:20
978-1-4939-5387-5Springer Science+Business Media New York 2013
延期
发表于 2025-3-22 17:47:13
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Aboveboard
发表于 2025-3-22 23:00:09
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刚开始
发表于 2025-3-23 03:28:57
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MORT
发表于 2025-3-23 07:21:56
Conference proceedings 2013Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from