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  1. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (WebKDD/SNA-KDD '07)
  2. Looking for great ideas: analyzing the innovation jam
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Learning to rank typed graph walks: local and global approaches
Exploiting time-varying relationships in statistical relational models
Community detection in large-scale social networks
Node roles and community structure in networks
Inferring agent dynamics from social communication network
Dynamics of collaborative document rating systems
Why we twitter: understanding microblogging usage and communities
Looking for great ideas: analyzing the innovation jam
DBconnect: mining research community on DBLP data
Spectral clustering in telephone call graphs
Applying link-based classification to label blogs
A recommender system based on local random walks and spectral methods
Automated social hierarchy detection through email network analysis

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Looking for great ideas: analyzing the innovation jam

Content Provider ACM Digital Library
Author Liu, Yan Rosset, Saharon Helander, Mary Perlich, Claudia Lawrence, Rick Reddy, Chandan
Abstract We discuss the Innovation Jam that IBM carried out in 2006, with the objective of identifying innovative and promising "Big Ideas" through a moderated on-line discussion between IBM worldwide employees and external contributors. We describe the data available and investigate several analytical approaches to address the challenge of understanding "how innovation happens" and to facilitate the success of future Jams. We demonstrate the social network structure of data and its time dependence, and discuss the results of both supervised and unsupervised learning applied to this data.
Starting Page 66
Ending Page 73
Page Count 8
File Format PDF
ISBN 9781595938480
DOI 10.1145/1348549.1348557
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-08-12
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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