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• W1617192077 abstract "Health communities play an important role in helping patients cope with chronic disease. We analyze the vitality of these groups, in terms of their ability to attract new members and foster discussion. We present methods for performing and interpreting event history analysis with many dynamic features that are only partially observed and are highly correlated, which arise from censoring to protect privacy and the natural growth of event-count-based features respectively. We apply this methodology to identify the factors that contribute to group vitality in a diabetes community. Our findings suggest that uniformly advertising popular groups was detrimental to the diversity of popular groups, limiting the growth of the overall community. We also identified three different modes of behavior for long term members and a strategic opportunity for community managers to recruit them for leadership in less popular groups." @default.
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• W1617192077 date "2012-08-26" @default.
• W1617192077 modified "2023-09-23" @default.
• W1617192077 title "Understanding Group Dynamics in Health Forums" @default.
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• W1617192077 doi "https://doi.org/10.1109/asonam.2012.107" @default.
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