… This enables us to make predictions about a victim's ability to detect a social … Considering
that many smartphone applications are highly vulnerable and can leak sensitive information, …

… If we sample a k-clique uniformly, it is susceptible to anomalies in the graph that make …
prediction, which will result in plausible fake edges. Instead of choosing a specific link prediction …

… Decentralized distributed systems such as peer-to-peer systems are particularly vulnerable
… [42] leverages a key insight on social networks to bound the number of sybil nodes accepted. …

… : susceptibility to influence from other users and the extent of influence on others in the …
We assess how well the model predicts whether a certain friend is influential. The prediction …

… individual’s personal network, the threshold is the exposure … social system as the key
dependent variable to be predicted … how individuals act with respect to their personal network (…

… data for social networks generally (7, 8); and (iii) people’s emotional expressions on Facebook
predict … This tested whether exposure to emotions led people to change their own posting …

… A successful replication would speak for the predictive validity of our incidental exposure …
Furthermore, we use negative binomial regressions to predict high-effort participation because …

… the technical problems, social networking received national media exposure, resulting in both
… Here, we demonstrate how our models can help predict which individuals will adopt in the …

… or popularity cues, the bandwagon heuristic predicts a tendency for individuals to (a) assume
that the support of others is likely to predict personal relevance and utility (Sundar & Nass, …

… predicted (a) higher levels of social activity in the online community and (b) more self-promoting
content in several aspects of the social networking … and therefore susceptible to positive …