… trust and distrust in web-based social networks. We combine a path-probability … social
network datasets to test our methods. All are provided as part of the Stanford Large Network …

… trust, exploiting transitivity in social networks. Trust would thus propagate through the network
… individuals can reach each other via at least one trust path. However, common sense tells …

… In other words, although trust and distrust are constructed based on … a trust-distrust model
for social networks considering subjective and objective characteristics of trust and distrust …

… , social news sites, and forums. In this work we propose a method to compute a ranking of
the users in a social network, … gaining high reputation in the network by demoting them in the …

… a framework for the trust inference, able to infer the trust/distrust relationships in those … the
classical social balance theory. We do so by decomposing a trust network in its ego network …

… network evolves towards new balance, and formulate the convergence problem of a social
network … used to predict edge signs in social networks and justify our theory through extensive …

… the properties of distrust analogy to those of trust with real-world social media data. … for both
trust and distrust suggest a power-law-like distribution that is typical in social networks. With …

… of distrust, even though distrust is a distinct concept from trust with … ‘trust’, ‘distrust’, and ‘lack
of confidence’ in social relationships … experience, witness opinion or social network structure. …

… A different situation takes place when we consider social networks that create many new
relationships between their users. The most obvious examples include sites like ebay, craigslist …

… our trust, rather than allowing patterns of trust and distrust to emerge purely as a side-effect
of social … Truth tracking performance of social networks: How connectivity and clustering can …