Bernie Hogan

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We evaluate the use and potential benefits of social sorting as a technique for managing email. We present SNARF, the Social Network and Relationship Finder, a tool which filters and sorts email based on the type of message and the user's past history with an email correspondent, a process we refer to as social sorting. This tool also combines several(More)
Online forums are rich sources of information about user communication activity over time. Finding temporal patterns in online forum communication threads can advance our understanding of the dynamics of conversations. The main challenge of temporal analysis in this context is the complexity of forum data. There can be thousands of interacting users, who(More)
Email archives are full of social information, including how messages are addressed and frequency of contact between senders and receivers. To study the use of this rich metadata for email management, particularly email triage, we deployed SNARF, a prototype tool which uses social metadata to organize received email by correspondent, sort received email by(More)
Building on existing stochastic actor-oriented models for panel data, we employ a conditional logistic framework to explore growth mechanisms for tie creation in continuously-observed networks. This framework models the likelihood of tie formation distinguishing it from hazard models that consider time to tie formation. It enables multiple growth mechanisms(More)
While much social network data exists online, key network metrics for high-risk populations must still be captured through self-report. This practice has suffered from numerous limitations in workflow and response burden. However, advances in technology, network drawing libraries and databases are making interactive network drawing increasingly feasible. We(More)
To what extent do friendship ties influence the conversation structure in open groups? Openly accessible Facebook groups offer the opportunity to examine how individuals leverage their existing friendship relations when speaking to a large and often heterogeneous audience. For example, those with many friends in the group may receive more positive signals(More)