9 citations · 23 across the 6 of their papers we have counts for
6 papers
Experimental Evaluation of Baselines for Forecasting Social Media Timeseries
Kin Wai Ng, Frederick Mubang, Lawrence O. Hall +2
Forecasting social media activity can be of practical use in many scenarios, from understanding trends, such as which topics are likely to engage more users in the coming week, to…
Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks
Sameera Horawalavithana, John Skvoretz, Adriana Iamnitchi
Predicting the flow of information in dynamic social environments is relevant to many areas of the contemporary society, from disseminating health care messages to meme tracking. W…
Diversity, Topology, and the Risk of Node Re-identification in Labeled Social Graphs
Sameera Horawalavithana, Clayton Gandy, Juan Arroyo Flores +2
Real network datasets provide significant benefits for understanding phenomena such as information diffusion or network evolution. Yet the privacy risks raised from sharing real gr…
An Empirical Study on Team Formation in Online Games
Essa Alhazmi, Sameera Horawalavithana, Adriana Iamnitchi +2
Online games provide a rich recording of interactions that can contribute to our understanding of human behavior. One potential lesson is to understand what motivates people to cho…
The power of indirect social ties
Xiang Zuo, Jeremy Blackburn, Nicolas Kourtellis +2
While direct social ties have been intensely studied in the context of computer-mediated social networks, indirect ties (e.g., friends of friends) have seen little attention. Yet i…
Cheaters in the Steam Community Gaming Social Network
Jeremy Blackburn, Ramanuja Simha, Nicolas Kourtellis +5
Online gaming is a multi-billion dollar industry that entertains a large, global population. One unfortunate phenomenon, however, poisons the competition and the fun: cheating. The…