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主题: 今晚朕在LinkedIn Campus
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作者 今晚朕在LinkedIn Campus   
龟谷教皇




头衔: 海归少校

头衔: 海归少校
声望: 学员
性别: 性别:男
加入时间: 2011/01/27
文章: 375

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文章标题: 今晚朕在LinkedIn Campus (1399 reads)      时间: 2011-2-24 周四, 09:35   

作者:龟谷教皇海归商务 发贴, 来自【海归网】 http://www.haiguinet.com

Software Architecture and Platform SIG: Large-Scale Community Detection for Social Computing
February 23, 2011 | 6:30 PM - 9:00 PM
LinkedIn
2027 Stierlin Court
Mountain View, CA


Software Architecture and Platform SIG:

Title: Large-Scale Community Detection for Social Computing, with Implementation in Hadoop
Presenter: Lei Tang, Yahoo! Labs

The recent boom of social networking sites empowers people of different ages and backgrounds with new forms of collaboration, communication, and collective intelligence. Social media also provides an open platform such that like-minded people form virtual communities. Finding out these groups is one of the basic tasks in traditional social network analysis. Networks in social media are normally very large, posing many new computational challenges for social computing and business optimization. This talk will cover state-of-the-art techniques to community discovery in social media. In particular, we will discuss how we may implement some standard community detection methods in Hadoop for large- scale social network analysis. Its applications to unique social computing tasks related to communities will be discussed as well.

The outline of the talk is below:
1. Introduction to Social Media and Social Computing
2. Principles and Algorithms for Community Detection
3. Large-Scale Community Detection in Hadoop
4. Applications of Community Detection for Social Computing

BIO:

Lei Tang is a scientist in advertising science at Yahoo! Labs. He is working on large-scale social and behavioral targeting. He received his PhD from Arizona State University in 2010, and BS from Fudan University, China. His research interests include computational advertising, social computing and data mining. He has published at prestigious conferences and journals related to data mining. His book on community detection and mining in social media is published by Morgan & Claypool in October 2010. He was awarded ASU GPSA Research Grant, SDM Doctoral Student Forum Fellowship and travel awards from various conferences. For more information, please visit his homepage: https://www.public.asu.edu/~ltang9/

Location:
LinkedIn
2027 Stierlin Court
Mountain View, CA

Agenda:
6:30 - 7:00 p.m. Registration/Networking/Refreshments/Pizza
7:00 - 9:00 p.m. Presentations

Price:
$20 at the door for non-SDForum members
No charge for SDForum members
No registration required

作者:龟谷教皇海归商务 发贴, 来自【海归网】 http://www.haiguinet.com









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