Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
Answer Garden 2: merging organizational memory with collaborative help
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Threading electronic mail: a preliminary study
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
A Web on the Wind: The Structure of Invisible Work
Computer Supported Cooperative Work - Special issue: a web on the wind: the structure of invisible work
Document centered approach to text normalization
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Inferring query models by computing information flow
Proceedings of the eleventh international conference on Information and knowledge management
Ceci n'est pas un objet? talking about objects in E-mail
Human-Computer Interaction
Building Connections among Loosely Coupled Groups: Hebb's Rule at Work
Computer Supported Cooperative Work
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Structure in the Enron Email Dataset
Computational & Mathematical Organization Theory
Expert Recommender: Designing for a Network Organization
Computer Supported Cooperative Work
Uncovering deep user context from blogs
Proceedings of the second workshop on Analytics for noisy unstructured text data
Expert recommender systems in practice: evaluating semi-automatic profile generation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making sense of archived e-mail: Exploring the Enron collection with NetLens
Journal of the American Society for Information Science and Technology
Beyond keyword filtering for message and conversation detection
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
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This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a socio-cognitive stance, we propose a model called HALe which automatically derives dimensional representations of words in a high dimensional context space from an email corpus. These dimensional representations are used to discover a network of people based on a seed contextual description. Such a network represents useful connections between people not easily achievable by 'normal' retrieval means. Implicit connections are "lifted" by applying latent semantic analysis to the high dimensional context space. The discovery techniques are applied to a substantial corpus of real-life email utterance drawn from a small-to-medium size information technology organization. The techniques are computationally tractable, and evidence is presented that suggests appropriate explicit connections are being brought to light, as well as interesting, and perhaps serendipitous implicit connections. The ultimate goal of such techniques is to bring to light context-sensitive, ephemeral, and often hidden relationships between people, and between people and information, which pervade the enterprise.