Opinion Leader Detection
P. Parau; C. Lemnaru; M. Dinsoreanu; R. Potolea Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Abstract
Identifying opinion leaders and assessing their influence is highly relevant in several domains. This chapter presents a comprehensive analysis of state-of-the-art opinion leader detection strategies in social networks and the associated challenges. We classify the approaches into four categories, depending on the types of available and observable data: network topology, interaction, content mining, and content and interaction. For each category, we present relevant approaches, the metrics and algorithms employed, and evaluation remarks. A critical discussion of the advantages, limitations, ...
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