Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen


Santos Tiago, Walk Simon, Kern Roman, Helic Denis

Evolution of Collaborative Web Communities

ACM Hypertext 2018, 2018

Each day, millions of users visit collaborative Web communities, such as Wikipedia or StackExchange, either as large knowledge repositories or as up-to-date news sources.However, not all of Web communities are as successful as Wikipedia and, except for a few initial research results, our research community still knows only a little about what separates a successful from an unsuccessful community.Thus, we still need to (i) gain a better understanding of the underlying community evolution dynamics, and (ii) based on this understanding support activity and growth on such platforms.To that end, we distill temporal dynamics of community activity and thereby identify key factors leading to success or failure of communities.In particular, we study the differences between growing and declining communities by leveraging multivariate Hawkes processes. Furthermore, we compare communities hosted on different platforms such as StackExchange and Reddit, as well as topically diverse communities such as STEM and humanities.We find that all growing communities exhibit (i) an active core of power users reacting to the community as a whole, and (ii) numerous casual users strongly interacting with other casual users suggesting community openness towards less active users.Moreover, our results suggest that communities in the humanities are centered around power users, whereas in STEM communities activity is more evenly distributed among power and casual users.These results are of practical importance for community managers to quantitatively assess the status of their communities and guide them towards thriving community structures

Santos Tiago, Walk Simon, Helic Denis

Nonlinear Characterization of Activity Dynamics in Online Collaboration Websites

WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion, International World Wide Web Conferences Steering Committee, Perth, Australia, 2017

Modeling activity in online collaboration websites, such asStackExchange Question and Answering portals, is becom-ing increasingly important, as the success of these websitescritically depends on the content contributed by its users. Inthis paper, we represent user activity as time series and per-form an initial analysis of these time series to obtain a bet-ter understanding of the underlying mechanisms that governtheir creation. In particular, we are interested in identifyinglatent nonlinear behavior in online user activity as opposedto a simpler linear operating mode. To that end, we applya set of statistical tests for nonlinearity as a means to char-acterize activity time series derived from 16 different onlinecollaboration websites. We validate our approach by com-paring activity forecast performance from linear and nonlin-ear models, and study the underlying dynamical systems wederive with nonlinear time series analysis. Our results showthat nonlinear characterizations of activity time series helpto (i) improve our understanding of activity dynamics in on-line collaboration websites, and (ii) increase the accuracy offorecasting experiments.
Kontakt Karriere

Hiermit erkläre ich ausdrücklich meine Einwilligung zum Einsatz und zur Speicherung von Cookies. Weiter Informationen finden sich unter Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.