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Social network data analysis and mining applications for the Internet of Data
Author(s) -
Cuomo Salvatore,
Maiorano Francesco
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4527
Subject(s) - data science , social heuristics , social network (sociolinguistics) , network science , centrality , social network analysis , computer science , field (mathematics) , context (archaeology) , maximization , variety (cybernetics) , dynamic network analysis , management science , social media , complex network , world wide web , artificial intelligence , social change , psychology , engineering , social psychology , political science , paleontology , computer network , mathematics , combinatorics , social competence , pure mathematics , law , biology
Summary Social network analysis is an interdisciplinary topic attracting researchers from biology, economics, psychology, and machine learning, with an existing long history based on graph theory. It has since attracted interests from both the research and business communities for a strong potential and variety of applications. In addition, this interest has been fueled by the large success of online social networking sites and the subsequent abundance of social network data produced. An important aspect in this research field is influence maximization in social networks. The goal is to find a set of individuals to be targeted with the aim to drive social contagion and generate a diffusion cascade. We provide here an overview of the models and approaches used to analyze social networks. In this context, we also discuss data preparation and privacy concerns. We further describe different kind of approaches based on centrality measures, which express a sociological interpretation of the data, and stochastic influence and information propagation techniques, which aim at modeling the underlying diffusion processes that govern social interactions.