Call For Participation: The WWW Workshop on Large Scale Network Analysis
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Mar 23, 2012, 2:19:58 AM3/23/12
to HIT Machine Learning Group
[WWW-LSNA 2012] Call For Participation
The WWW Workshop on Large Scale Network Analysis (WWW-LSNA 2012)
In conjunction with WWW 2012
April 16, 2012 Lyon, France
Website: http://www.largenetwork.org
Large network data are being produced by various applications in an
ever growing rate, from social networks such as Facebook and Twitter,
scientific citation networks such as CiteSeerX, to biological networks
such as protein interaction networks. Network data analysis is crucial
for exploiting the wealth of information encoded in such network data.
An effective analysis of this data must take into account complex
structure including social, temporal, and spatial dimensions, while an
efficient analysis of such data requires scalable techniques. As a
result, there has been increasing research in developing novel and
scalable solutions for practical network analytics applications.
This workshop will provide a forum for researchers to share new ideas
and techniques for large scale network analysis. We invite submission
of original research related to all aspects of large scale network
analysis.
Workshop Program
8:45 – 9:00 Introduction to the Workshop
9:00 – 9:45 1st Keynote Speach
Large-Scale Graph Mining for Recommendations: Beyond the Social Graph
Sam Shah (LinkedIn)
8:45 – 10:35 Session 1: Theories for Network Analysis
9:45 – 10:10 A fast algorithm to find all high degree
vertices in power law graphs
Colin Cooper, Tomasz Radzik and Yiannis Siantos
10:10 – 10:35 k-Centralities: Local Approximations of
Global Measures Based on Shortest Paths
Jürgen Pfeffer and Kathleen Carley
10:35 – 11:00 Coffee Break
11:00 – 12:15 Session 2: Applications of Network Analysis in
Vertical Domains
11:00 – 11:25 Harnessing User Library Statistics for Research
Evaluation and Knowledge Domain Visualization
Peter Kraker, Christian Körner and Kris Jack
11:25 – 11:50 MenuMiner: Revealing the Information
Architecture of Large Web Sites by Analyzing Maximal Cliques
Matthias Keller and Martin Nussbaumer
11:50 – 12:15 From Network Mining to Large Scale Business
Networ
Daniel Ritter
12:15 – 14:00 Lunch Break
14:00 – 14:45 2nd Keynote Speach
Extracting Business Advantage From Social Networks
Sivan Yogev (IBM Research Haifa)
14:45 – 15:35 Session 3: Scalable Algorithms for Social Network
Analysis
14:45 – 15:10 Large Scale Microblog Mining Using Distributed
MB-LDA
Chenyi Zhang
15:10 – 15:35 Role-Dynamics: Fast Mining of Large Dynamic
Networks
Ryan Rossi, Brian Gallagher, Jennifer Neville and Keith Henderson
15:35 – 16:00 Coffee Break
16:00 – 16:50 Session 4: Social Network Exploration
16:00 – 16:25 Building a Role Search Engine for Social Media
Vanesa Junquero-Trabado and David Dominguez-Sal
16:25 – 16:50 Scalable Querying of Socio-spatial Network
(invited talk)
Yerach Doytsher, Ben Galon and Yaron Kanza
Program Chairs
• C. Lee Giles, Pennsylvania State University, USA
(gi...@ist.psu.edu)
• Qi He, IBM Almaden Research Center, USA (h...@us.ibm.com)
• John McPherson, IBM Almaden Research Center, USA
(jmcp...@us.ibm.com)
• Yuanyuan Tian, IBM Almaden Research Center, USA
(yt...@us.ibm.com)
• Ding Zhou, Facebook, USA (dr.di...@gmail.com)
Program Committee
• Jiang Bian, Yahoo! Labs, USA
• Levent Bolelli, Google, USA
• David Carmel, IBM Haifa Research Lab, Israel
• Isaac Council, Google, USA
• Brian Davison, Lehigh University, USA
• Amol Deshpande, University of Maryland, USA
• Silvio Lattanzi, Google, USA
• Wolfgang Nejdl, L3S Research Center, Germany
• Jian Pei, Simon Fraser University, Canada
• Sherif Sakr, National ICT Australia, Australia
• Yanxin Shi, Facebook, USA
• Shirish Tatikonda, IBM Almaden Research Center, USA
• Ambuj Singh, University of California at Santa Barbara, USA
• Yang Song, Microsoft Research, USA
• Aixin Sun, Nanyang Technological University, Singapore
• Lei Tang, Yahoo! Labs, USA
• Yuan Tian, Facebook, USA
• Haixun Wang, Microsoft Research Asia, China
• Zhen Wen, IBM T.J.Watson Research Center, USA
• Jianshu Weng, HP Research, Signapore
• Rong Yan, Facebook, USA
• Xifeng Yan, University of California at Santa Barbara, USA
• Xiao Zhang, Twitter, USA
• Feida Zhu, Singapore Management University, Singapore
• Shenghuo Zhu, NEC Laboratories, USA
The WWW Workshop on Large Scale Network Analysis (WWW-LSNA 2012)
In conjunction with WWW 2012
April 16, 2012 Lyon, France
Website: http://www.largenetwork.org
Large network data are being produced by various applications in an
ever growing rate, from social networks such as Facebook and Twitter,
scientific citation networks such as CiteSeerX, to biological networks
such as protein interaction networks. Network data analysis is crucial
for exploiting the wealth of information encoded in such network data.
An effective analysis of this data must take into account complex
structure including social, temporal, and spatial dimensions, while an
efficient analysis of such data requires scalable techniques. As a
result, there has been increasing research in developing novel and
scalable solutions for practical network analytics applications.
This workshop will provide a forum for researchers to share new ideas
and techniques for large scale network analysis. We invite submission
of original research related to all aspects of large scale network
analysis.
Workshop Program
8:45 – 9:00 Introduction to the Workshop
9:00 – 9:45 1st Keynote Speach
Large-Scale Graph Mining for Recommendations: Beyond the Social Graph
Sam Shah (LinkedIn)
8:45 – 10:35 Session 1: Theories for Network Analysis
9:45 – 10:10 A fast algorithm to find all high degree
vertices in power law graphs
Colin Cooper, Tomasz Radzik and Yiannis Siantos
10:10 – 10:35 k-Centralities: Local Approximations of
Global Measures Based on Shortest Paths
Jürgen Pfeffer and Kathleen Carley
10:35 – 11:00 Coffee Break
11:00 – 12:15 Session 2: Applications of Network Analysis in
Vertical Domains
11:00 – 11:25 Harnessing User Library Statistics for Research
Evaluation and Knowledge Domain Visualization
Peter Kraker, Christian Körner and Kris Jack
11:25 – 11:50 MenuMiner: Revealing the Information
Architecture of Large Web Sites by Analyzing Maximal Cliques
Matthias Keller and Martin Nussbaumer
11:50 – 12:15 From Network Mining to Large Scale Business
Networ
Daniel Ritter
12:15 – 14:00 Lunch Break
14:00 – 14:45 2nd Keynote Speach
Extracting Business Advantage From Social Networks
Sivan Yogev (IBM Research Haifa)
14:45 – 15:35 Session 3: Scalable Algorithms for Social Network
Analysis
14:45 – 15:10 Large Scale Microblog Mining Using Distributed
MB-LDA
Chenyi Zhang
15:10 – 15:35 Role-Dynamics: Fast Mining of Large Dynamic
Networks
Ryan Rossi, Brian Gallagher, Jennifer Neville and Keith Henderson
15:35 – 16:00 Coffee Break
16:00 – 16:50 Session 4: Social Network Exploration
16:00 – 16:25 Building a Role Search Engine for Social Media
Vanesa Junquero-Trabado and David Dominguez-Sal
16:25 – 16:50 Scalable Querying of Socio-spatial Network
(invited talk)
Yerach Doytsher, Ben Galon and Yaron Kanza
Program Chairs
• C. Lee Giles, Pennsylvania State University, USA
(gi...@ist.psu.edu)
• Qi He, IBM Almaden Research Center, USA (h...@us.ibm.com)
• John McPherson, IBM Almaden Research Center, USA
(jmcp...@us.ibm.com)
• Yuanyuan Tian, IBM Almaden Research Center, USA
(yt...@us.ibm.com)
• Ding Zhou, Facebook, USA (dr.di...@gmail.com)
Program Committee
• Jiang Bian, Yahoo! Labs, USA
• Levent Bolelli, Google, USA
• David Carmel, IBM Haifa Research Lab, Israel
• Isaac Council, Google, USA
• Brian Davison, Lehigh University, USA
• Amol Deshpande, University of Maryland, USA
• Silvio Lattanzi, Google, USA
• Wolfgang Nejdl, L3S Research Center, Germany
• Jian Pei, Simon Fraser University, Canada
• Sherif Sakr, National ICT Australia, Australia
• Yanxin Shi, Facebook, USA
• Shirish Tatikonda, IBM Almaden Research Center, USA
• Ambuj Singh, University of California at Santa Barbara, USA
• Yang Song, Microsoft Research, USA
• Aixin Sun, Nanyang Technological University, Singapore
• Lei Tang, Yahoo! Labs, USA
• Yuan Tian, Facebook, USA
• Haixun Wang, Microsoft Research Asia, China
• Zhen Wen, IBM T.J.Watson Research Center, USA
• Jianshu Weng, HP Research, Signapore
• Rong Yan, Facebook, USA
• Xifeng Yan, University of California at Santa Barbara, USA
• Xiao Zhang, Twitter, USA
• Feida Zhu, Singapore Management University, Singapore
• Shenghuo Zhu, NEC Laboratories, USA
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