I am Professor of Computer Science at Stanford University. My general research area is applied machine learning for large interconnected systems focusing on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales, from interactions of proteins in a cell to interactions between humans in a society. Applications include commonsense reasoning, recommende
Supervised Random Walks: Predicting and Recommending Links in Social Networks Lars Backstrom Facebook [email protected] Jure Leskovec Stanford University [email protected] ABSTRACT Predicting the occurrence of links is a fundamental problem in net- works. In the link prediction problem we are given a snapshot of a network and would like to infer which interactions among existing members are lik
Center of Attention: How Facebook Users Allocate Attention across Friends Lars Backstrom Facebook [email protected] Eytan Bakshy Univ. of Michigan & Facebook [email protected] Jon Kleinberg Cornell University [email protected] Thomas M. Lento Facebook [email protected] Itamar Rosenn Facebook it[email protected] Abstract An individual’s personal network — their set of social contacts — is a basic object of stu
Asking questions of your social network
Google recently acquired the startup Aardvark for $50 million. The idea behind Aardvark is to provide a way to ask complicated or subjective questions of your friends and colleagues. There are two papers that will be published at upcoming conferences that provide useful details on this idea. The first is actually by two members of the Aardvark team -- co-founder and Aardvark CTO Damon Horowitz and
ANLAB Traces What is Twitter, a Social Network or a News Media? (WWW2010) Mining communities in networks: a solution for consistency and its evaluation (IMC2009) Consistent Community Identification in Very Large Networks (MICNET2009) Evaluation of VoIP Quality over WiBro (PAM2008) I Tube, You Tube, Everybody Tubes (IMC2007) Analysis of Topological Characteristics of Huge Online Social Networking S
Sponsored by the Association for the Advancement of Artificial Intelligence. Full Papers | Poster Papers | Demonstrations | Data Challenge Workshop Full Papers 17 : Community Structure and Information Flow in Usenet: Improving Analysis with a Thread Ownership Model Mary McGlohon, Matthew Hurst 18 : Modeling Blog Dynamics Michaela Goetz, Jure Leskovec, Mary McGlohon, Christos Faloutsos 26 : RevRank
Tisch University Professor Department of Computer Science Department of Information Science Cornell University Ithaca, NY 14853 I am a professor at Cornell University. My research focuses on algorithms and networks, the roles they play in large-scale social and information systems, and their broader societal implications. My work has been supported by an NSF Career Award, an ONR Young Investigator
I got Ph.D. from Machine Learning Department, School of Computer Science at Carnegie Mellon University in September 2008 (See the video!). My advisor was Christos Faloutsos. I am now a post-doc at Cornell working with Jon Kleinberg. I will be joining the Computer Science Department at Stanford Univesity as an assistant professor in Fall 2009. I did my undergraduate in Computer Science at Universit
en-deen-esen-fren-pten-slenen-zhOff0.250.50.7511.251.51.752Graph Mining Techniques for Social Media AnalysisPublished on May 23, 200836104 ViewsMary McGlohonICWSM 2008 - Seattle Bookmark You need to login Share Embed Related categoriesSocial NetworksWatch other parts1. PartGraph Mining Techniques for Social Media Analysis Mary McGlohonMay 23, 2008 36104 Views 2. PartGraph Mining Techniques for Soc
A preferential attachment process is any of a class of processes in which some quantity, typically some form of wealth or credit, is distributed among a number of individuals or objects according to how much they already have, so that those who are already wealthy receive more than those who are not. "Preferential attachment" is only the most recent of many names that have been given to such proce
A unanimous vote from a bipartisan group of US lawmakers advanced a bill which would force ByteDance to divest ownership of TikTok, or risk losing access to its vast audience of 170 million in the States. The action wasn't just a shock to TikTok chiefs; it upended them and cast a shadow over their "most…
プライバシーポリシー | サイトポリシー | 商標 | フィード | サイトマップ Copyright© 2000-2007 Community Engine Inc. All rights reserved.
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
