206 citations · 1.1k across the 21 of their papers we have counts for
7 papers · 1 filter
Modeling User Reputation in Online Social Networks: The Role of Costs, Benefits, and Reciprocity
Frank Schweitzer, Pavlin Mavrodiev, Adrian M. Seufert +1
We analyze an agent-based model to estimate how the costs and benefits of users in an online social network (OSN) impact the robustness of the OSN. Benefits are measured in terms o…
When the Filter Bubble Bursts: Collective Evaluation Dynamics in Online Communities
Adiya Abisheva, David Garcia, Frank Schweitzer
We analyze online collective evaluation processes through positive and negative votes in various social media. We find two modes of collective evaluations that stem from the existe…
Social signals and algorithmic trading of Bitcoin
David Garcia, Frank Schweitzer
The availability of data on digital traces is growing to unprecedented sizes, but inferring actionable knowledge from large-scale data is far from being trivial. This is especially…
Sentiment cascades in the 15M movement
Raquel Alvarez, David Garcia, Yamir Moreno +1
Recent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to…
Gender Asymmetries in Reality and Fiction: The Bechdel Test of Social Media
David Garcia, Ingmar Weber, Venkata Rama Kiran Garimella
The subjective nature of gender inequality motivates the analysis and comparison of data from real and fictional human interaction. We present a computational extension of the Bech…
Who Watches (and Shares) What on YouTube? And When? Using Twitter to Understand YouTube Viewership
Adiya Abisheva, Venkata Rama Kiran Garimella, David Garcia +1
We combine user-centric Twitter data with video-centric YouTube data to analyze who watches and shares what on YouTube. Combination of two data sets, with 87k Twitter users, 5.6mln…
Social Resilience in Online Communities: The Autopsy of Friendster
David Garcia, Pavlin Mavrodiev, Frank Schweitzer
We empirically analyze five online communities: Friendster, Livejournal, Facebook, Orkut, Myspace, to identify causes for the decline of social networks. We define social resilienc…