Guest editorial: Big social data analysis

  • Cambria E
  • Wang H
  • White B
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.Big social data analysis combines disciplines such as social network analysis, multimedia management, social media analytics, trend discovery, and opinion mining. Big social data analysis aims to study large-scale Web phenomena such as social networks from a holistic point of view, i.e., by concurrently taking into account all the socio-technical aspects involved in their dynamic evolution. Hence, big social data analysis is inherently interdisciplinary and spans areas such as machine learning, graph mining, information retrieval, knowledge-based systems, linguistics, common-sense reasoning, natural language processing, and big data computing. Accordingly, the contained articles in this issue cover variegated topics including stock market prediction, political forecasting, time-evolving opinion mining, social network analysis, and human-robot interaction. (PsycINFO Database Record (c) 2015 APA, all rights reserved)

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