Graph drawing by force-directed placement
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Discovering shared interests using graph analysis
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Communities of practice: performance and evolution
Computational & Mathematical Organization Theory
Email overload: exploring personal information management of email
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A random graph model for massive graphs
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ONTOCOPI: Methods and Tools for Identifying Communities of Practice
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Towards compatible primitive structures
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Building Connections among Loosely Coupled Groups: Hebb's Rule at Work
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Modeling and predicting personal information dissemination behavior
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Using Egocentric Networks to Understand Communication
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Graph Theoretic and Spectral Analysis of Enron Email Data
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Graph mining: Laws, generators, and algorithms
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Probabilistic models for discovering e-communities
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POLYPHONET: an advanced social network extraction system from the web
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A framework for analysis of dynamic social networks
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Force-based incremental algorithm for mining community structure in dynamic network
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Private social network analysis: how to assemble pieces of a graph privately
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Going with the flow: email awareness and task management
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Using rhythms of relationships to understand e-mail archives
Journal of the American Society for Information Science and Technology
Mining and Visualizing the Evolution of Subgroups in Social Networks
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Finding tribes: identifying close-knit individuals from employment patterns
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Expert Recommender: Designing for a Network Organization
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Community Mining from Signed Social Networks
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A heuristic clustering algorithm for mining communities in signed networks
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Searching for experts in the enterprise: combining text and social network analysis
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POLYPHONET: An advanced social network extraction system from the Web
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Discovering global network communities based on local centralities
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Measuring social networks with digital photograph collections
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Users in Volatile Communities: Studying Active Participation and Community Evolution
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Public vs. private: comparing public social network information with email
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Expanding network communities from representative examples
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Estimation of friendship and hierarchy from conversation records
Information Sciences: an International Journal
Behavioral profiles for advanced email features
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Mining Research Communities in Bibliographical Data
Advances in Web Mining and Web Usage Analysis
Mining social networks for personalized email prioritization
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Spinning multiple social networks for semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Conference Mining via Generalized Topic Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Relationship identification for social network discovery
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
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An efficient probabilistic approach to network community mining
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Integrating multiple document features in language models for expert finding
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Analysis of dynamic social network: e-mail messages exchange network
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TRUST'11 Proceedings of the 4th international conference on Trust and trustworthy computing
Summarization and visualization of communication patterns in a large-scale social network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Self-Organizing network evolving model for mining network community structure
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Developing intelligent applications in social e-mail networks
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Community focused social network extraction
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Community detection in Social Media
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Group topic modeling for academic knowledge discovery
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The asymmetric diffusion of trust between communities: simulations in dynamic social networks
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CIUCEU: Multi-Agent-Based Simulation of University Email Communities
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Communities and Balance in Signed Networks: A Spectral Approach
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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We describe a method for the automatic identification of communities of practice from email logs within an organization. We use a betweenness centrality algorithm that can rapidly find communities within a graph representing information flows. We apply this algorithm to an email corpus of nearly one million messages collected over a two-month span, and show that the method is effective at identifying true communities, both formal and informal, within these scale-free graphs. This approach also enables the identification of leadership roles within the communities. These studies are complemented by a qualitative evaluation of the results in the field.