… We first review the related literature in Section II. … ‘‘node-centric’’ computing feature. The
use of message passing models for parallel graph calculation can further improve computational …

… , node-centric approaches. In this work, following such line of research, we propose Angel,
an algorithm that aims to lower the computational … designed for social networks analysis and …

… challenging problems in social networks analysis. To this end, many algorithms have been
… We also define the quality score of the algorithm community set by calculating precision and …

… and filtered networks we were forced (due to computational … rather than links, we define the
node-centric DTO ( n D T O ) … of the node-centric D T O measure produces a ranking of the …

… We do not consider self-loops as we are mainly interested in social networks. … To measure
the effect of deception algorithms on the output of detection algorithms, we also compute the …

… steps taken by DAVE: ranking nodes based on their global … for building communities,
computing the degrees of association … categories: network-centric, hierarchy-centric, node-centric, …

… In this chapter, we provide a rigorous literature review of … Now, instead of calculating it for
all the nodes we just need to … contrastive learning that encodes node-centric sub-graphs for …

… With an advent of social networks, spamming has posted the … Continue to review the Twitter
rules in the context of COVID-… into 4 categories, Node-Centric Community where each node …

… of the limitation of computing power. Today by using online social network, we have massive
… Our literature review include adaptation of the the classical SNA, identifies popular models …

… , introduces characteristics of social media, reviews representative tasks of computing with
… The community detection methods based on node-centric criteria require each node in a …