Discovery of implicit and explicit connections between people using email utterance

dc.contributor.authorMcArthur, Robert
dc.contributor.authorBruza, Peter
dc.date.accessioned2017-04-15T11:48:28Z
dc.date.available2017-04-15T11:48:28Z
dc.date.issued2003
dc.description.abstractThis paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive 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 contextsensitive, ephemeral, and often hidden relationships between people, and between people and information, which pervade the enterprise.
dc.identifier.doi10.1007/978-94-010-0068-0_2
dc.identifier.isbn978-94-010-0068-0
dc.language.isoen
dc.publisherKluwer Academic Publishers, Dordrecht, The Netherlands
dc.relation.ispartofECSCW 2003: Proceedings of the Eighth European Conference on Computer Supported Cooperative Work
dc.relation.ispartofseriesECSCW
dc.titleDiscovery of implicit and explicit connections between people using email utterance
dc.typeText
gi.citation.endPage40
gi.citation.startPage21
gi.conference.date14–18 September 2003
gi.conference.locationHelsinki, Finland
gi.conference.sessiontitleFull Papers

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