… Applications go well beyond social networks, as our techniques can be used to predict
unobserved links in proteinprotein interaction networks in systems biology or give suggestions to …

… among the best algorithms while other heuristic algorithms not design specifically for the
linear threshold model have unstable performances on different realworld networks. …

… to study the nature of their online social networks in order to get an … social networking sites
for communication and examine the relation between their online and offline social networks…

… We also extend their theory by discovering the social network and time affects on the
engagement with real-world events (indeed, some events are about civic issues). …

… In particular, we can sample a small set of nodes in the social network as landmarks, and
embed them. Any individuals who would like to route can embed themselves on the fly, by …

… renormalizations–network coarse-… 50 real-world networks reveals a power-law scaling of
network density and size under adequate renormalization technique, yet irrespective of network …

… If we consider a general social network, a purely random approach would entail that any
new member would connect and interact at random. Over time all the new members will spread …

… Real-world network data sets In this paper, we select 9 typical real-world networks to perform
… the results between our model and other methods, and these networks include as follows. …

… are too complex for real social networks, where transmissions of … the main regularities in
such real-world settings. In this paper, we … the learned models for real-world prediction tasks. …

… This work will confirm this interpretation by analyzing a dataset of 93 graphs, made by 19
biological networks, 32 social networks, and 42 technological networks. The first experiment …