Visualizing the Signatures of Social Roles in Online Discussion Groups

By Howard T. Welser, Eric Gleave, Danyel Fisher, Marc A. Smith. 2007

435 citations recorded by the source corpus.

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Citations in the corpus

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “Consider the case of Usenet: people who never start threads and only respond play the role of answerer, while there are other roles that include fostering discussion [69].”
Finding social roles in Wikipedia (2011, methodology): “In particular we follow earlier studies of social roles in Usenet that used visualizations of cumulative patterns in message contribution as well as attributes of local social networks [11] and to identify social roles like that of answer person [29].”
Mapping the world's photos (2009, background): “, [7, 12, 14, 15, 24]), or on content, such as studies of image tagging (e.”
Research Note - The Impact of Community Commitment on Participation in Online Communities (2011, background): “Because it entails consuming content posted by others, reading threads is a primary mechanism by which individuals obtain the direct informational and social benefits available from a community (Butler 2001, Welser et al. 2007).”
Analyzing (social media) networks with NodeXL (2009, background): “[22] show that distinct connecting patterns among users are related to a variety of social roles that, in turn, form complex ecosystems in social media spaces.”
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites (2009, background): “In this way, each user can be represented by a social network “signature” [21] – a mathematical representation of that user's ego network: the graph defined by a user, that user's neighbors, and the ties between these users [8].”
Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010, background): “One prominent line of research seeks to assign users to different interaction roles, often through applying social network analysis [1, 7, 30].”
Efficient semi-streaming algorithms for local triangle counting in massive graphs (2008, methodology): “Following a suggestion from the study of social networks in reference [32], that the type and quality of content provided by the agents is related to the degree of clustering of their local neighborhoods, we perform a statistical analysis of answers provided by users, studying the correlation betwee”
Knowledge sharing and yahoo answers: everyone knows something (2008, background): “[20] argued that one can use users’ ego- networks as “structural signature” to identify “discussion persons” and “answer persons” in online forums.”
Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage (2013, background): “Consuming content created by others is how members of online communities both access and transfer informational and social value (Bateman et al. 2010, Welser et al. 2007).”
Self-Governance Through Group Discussion in Wikipedia (2011, methodology): “Yet often the content-analysis processes used in these studies are quite simple (e.g., Welser et al., 2007) and can only provide a limited understanding about the meaning of interactions.”
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups (2006, background): “This approach has applications for both researchers seeking to characterize different types of social cyberspaces as well as participants seeking to distinguish interaction partners and content authors.”