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Alireza Farasat
Researcher at University at Buffalo
Publications - 11
Citations - 231
Alireza Farasat is an academic researcher from University at Buffalo. The author has contributed to research in topics: Social network analysis & Genetic algorithm. The author has an hindex of 7, co-authored 10 publications receiving 187 citations. Previous affiliations of Alireza Farasat include State University of New York System & University of Tehran.
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ARO: A new model-free optimization algorithm inspired from asexual reproduction
TL;DR: A sexual reproduction known as a remarkable biological phenomenon, called as Asexual Reproduction Optimization (ARO), is proposed, and its adaptive search ability and its strong and weak points are described.
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Probabilistic graphical models in modern social network analysis
TL;DR: Direct and undirected probabilistic graphical models (PGMs) are described and recent applications in modern SNA are highlighted, including the estimation and quantification of importance, propagation of influence, trust (and distrust), link and profile prediction, privacy protection, and news spread through microblogging.
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Social Network Analysis With Data Fusion
TL;DR: The reported results shed light on the sensitivity of betweenness, closeness, and degree centrality metrics to fused graph inputs and the role of HVI identification as a test and evaluation tool for fusion process optimization.
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ARO : a new model free optimization algorithm for real time applications inspired by the asexual reproduction
TL;DR: This paper presents a new individual based optimization algorithm, which is inspired from asexual reproduction known as a remarkable biological phenomenon, called as a sexual reproduction optimization (ARO).
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Social structure optimization in team formation
TL;DR: This paper describes LK-TFP as a tree search procedure and discusses the reasons of its effectiveness, as well as proposing a methodological toolbox that incorporates social structures into TFP.