Making computational social science effective: epistemology, methodology, and technology
Social Science Computer Review - Computer-based methods: State of the art
Statistical mechanics of complex networks
Statistical mechanics of complex networks
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Using Online Conversations to Study Word-of-Mouth Communication
Marketing Science
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
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As a key sub-field of social dynamics and sociophysics, opinion dynamics utilizes mathematical and physical models and the agent-based computational modeling tools, to investigate the spreading of opinions in a collection of human beings. This research field stems from various disciplines in social sciences, especially the social influence models developed in social psychology and sociology. A multidisciplinary review is given in this paper, attempting to keep track of the historical development of the field and to shed light on its future directions. In the review, the authors discuss the disciplinary origins of opinion dynamics, showing that the combination of the social processes, which are conventionally studied in social sciences, and the analytical and computational tools, which are developed in mathematics, physics and complex system studies, gives birth to the interdisciplinary field of opinion dynamics. The current state of the art of opinion dynamics is then overviewed, with the research progresses on the typical models like the voter model, the Sznajd model, the culture dissemination model, and the bounded confidence model being highlighted. Correspondingly, the future directions of this academic field are envisioned, with an advocation for closer synthesis of the related disciplines.