Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences

•Analysis of Twitter on 16 CS conferences over five years.•Over time, users increase informational use and decrease conversational usage.•LDA allows conference clustering, unveiling shared areas of interest.•Sentiment analysis exposes differences between research communities.•Model of user participation explains the importance of different social features.