Looking for great ideas: Analyzing the innovation jam

Mary Helander*, Rick Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy, Saharon Rosset

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationJoint Ninth WebKDD and First SNA-KDD Worshop 2007 on Web Mining and Social Network Analysis
Pages66-73
Number of pages8
DOIs
StatePublished - 2007
Externally publishedYes
EventJoint 9th WebKDD and 1st SNA-KDD Workshop 2007 on Web Mining and Social Network Analysis. Held in conjunction with 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007 - San Jose, CA, United States
Duration: 12 Aug 200715 Aug 2007

Publication series

NameJoint Ninth WebKDD and First SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis

Conference

ConferenceJoint 9th WebKDD and 1st SNA-KDD Workshop 2007 on Web Mining and Social Network Analysis. Held in conjunction with 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007
Country/TerritoryUnited States
CitySan Jose, CA
Period12/08/0715/08/07

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