Computational Models for Social and Information Network Analysis
Tutorial 傳送門 作者： 清華大學 唐傑 微軟亞洲研究院 Yuxiao Dong 摘要： 在本教程中，我們將系統性的介紹如何利用社會和信息網絡進行挖掘和學習，涵蓋的主題從個人到二元交互到團體再到信息空間。我們將從微信的真實例子開始我們的教程，來解釋在線社交網絡如何影響我們的現實世界。然後我們將全面介紹社會網絡分析的歷史和最新進展，包括用戶分析、用戶行爲建模、社會關係和羣體建模、結構上的影響
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相關文章
- 1. Call for Papers IEEE/ACM International Conference on Advances in Social Network Analysis and Mining
- 2. Maximum Entropy Markov Models for Information Extraction and Segmentation
- 3. CF1284F New Year and Social Network
- 4. Academic social networks: Modeling, analysis, mining and applications
- 5. 論文筆記-An Analysis of Deep Neural Network Models for Practical Applications
- 6. Analysis of Computational Complexity and Space Complexity (NN algorithem)
- 7. Nanopore sequencing technology and tools for genome assembly: computational analysis of the current
- 8. 社會網絡分析——Social Network Analysis
- 9. MEASUREMENT MODELS AND PRINCIPLES FOR SOURCE LOCALIZATION
- 10. Social Information Graph