… node-centric algorithms designed to partition and analyze static networks: moreover, in such
section, we review … to speed up the computation time, several classes of node-centric and …

… , an extensive review of exist… of node-centric influence power. The key feature of SAIM is
that it does not require the seed size k, but rather computes an optimal one for the social network …

… on centralized online social network providers to preserve … a validation overlay to asses
the credibility of the exchanged … should be designed as node-centric and distributed learning …

… 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 …

… Broadly, the algorithms can be classified as node-centric and … The mobile node is limited
with computational power and … such as social networks and vehicular networks, and more …

… , 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 …

… This work establishes a reputation model for a social network to … model called REMSA for
reputation computation in OSNs. … model how reputation is spread within the social network. In …

… our suggested model based on a node-centric approach and structure its operation in three
… attribute pairs and computes the support of each attributes pair using formula mentioned in …

… 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 …