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Overlapping communities and the prediction of missing links in multiplex networks

机译：重叠的社区和多路复用网络中缺失链接的预测

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Amir Mahdi Abdolhosseini-Qomi; Naser Yazdani; Masoud Asadpour;
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年度 2020
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1. Overlapping communities and the prediction of missing links in multiplex networks [J] . Abdolhosseini-Qomi Amir Mahdi, Yazdani Naser, Asadpour Masoud Physica, A. Statistical mechanics and its applications . 2020,第1期

机译：重叠的社区和多路复用网络中缺失链接的预测
2. A modified algorithm of multiplex networks generation based on overlapped links [J] . Zhou Yinzuo Physica, A. Statistical mechanics and its applications . 2019,第期

机译：基于重叠链路的多路复用网络生成修改算法
3. Incorporating communities' structures in predictions of missing links [J] . Yadav Rahul Kumar, Rai Abhay Kumar Journal of Intelligent Information Systems . 2020,第1期

机译：在缺少链接预测中纳入社区结构
4. Signed social networks: Link prediction and overlapping community detection [C] . Mohsen Shahriari, Ralf Klamma International Workshop on Mining and Analyzing Social Networks for Decision Support;International Workshop on Social Network Analysis in Applications;International Workshop on Dynamics in Networks;Social Media and Risk;International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics;International Symposium on Foundations of Open Source Intelligence and Security Informatics;International Symposium on Foundations and Applications of Big Data Analytics;Multiplex Attributed Networks Mining;IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining . 2015

机译：签名的社交网络：链接预测和重叠社区检测
5. Modeling the Relationship Between Links and Communities for Overlapping Community Detection [D] . Zhang, Hongyi. 2018

机译：建模链接和社区之间的关系以重叠社区检测
6. Linking macroecology and community ecology: refining predictions of species distributions using biotic interaction networks [O] . Phillip P.A. Staniczenko, Prabu Sivasubramaniam, K. Blake Suttle, -1

机译：将宏观生态学与社区生态学联系起来：使用生物相互作用网络细化物种分布的预测
7. Figure 1: (A) Example of a text-based forma mentis network. A TFMN can be represented either as an edge-coloured graph or as a multiplex network. Positive (negative) words are highlighted in cyan (red). Neutral words are in black. Syntactic links between positive (negative) words are highlighted in cyan (red) too. Syntactic links between positive and negative concepts are in purple. All semantic links of meaning overlap are highlighted in green. (B) Infographics about how a TFMN is assembled. Individuals organise their knowledge and emotional perception of the real world in their mental lexicon (comic clouds). [O] . -1

机译：图1：（a）基于文本的Forma Mentis网络示例。 TFMN可以用作边缘彩色图形或作为多路复用网络表示。在青色（红色）突出显示正（负）单词。中立词是黑色的。在青色（红色）突出显示正（否定）单词之间的句法链接。正面和消极概念之间的句法链接在紫色。含义重叠的所有语义链接都以绿色突出显示。（b）关于TFMN如何组装的信息图表。个人在他们的精神词典（漫画云）中对现实世界组织了他们的知识和情感感知。

Overlapping communities and the prediction of missing links in multiplex networks

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