Computational Models for Social and Information Network Analysis
Tutorial 传送门 作者： 清华大学 唐杰 微软亚洲研究院 Yuxiao Dong 摘要： 在本教程中，我们将系统性的介绍如何利用社会和信息网络进行挖掘和学习，涵盖的主题从个人到二元交互到团体再到信息空间。我们将从微信的真实例子开始我们的教程，来解释在线社交网络如何影响我们的现实世界。然后我们将全面介绍社会网络分析的历史和最新进展，包括用户分析、用户行为建模、社会关系和群体建模、结构上的影响
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相关文章
- 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. 论文笔记-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. 社会网络分析——Social Network Analysis
- 9. MEASUREMENT MODELS AND PRINCIPLES FOR SOURCE LOCALIZATION
- 10. Social Information Graph