Dynamics and Evolutional Patterns of Social Networks

Dynamics and Evolutional Patterns of Social Networks

Yingzi Jin, Yutaka Matsuo
ISBN13: 9781613505137|ISBN10: 1613505132|EISBN13: 9781613505144
DOI: 10.4018/978-1-61350-513-7.ch010
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MLA

Jin, Yingzi, and Yutaka Matsuo. "Dynamics and Evolutional Patterns of Social Networks." Social Network Mining, Analysis, and Research Trends: Techniques and Applications, edited by I-Hsien Ting, et al., IGI Global, 2012, pp. 156-170. https://doi.org/10.4018/978-1-61350-513-7.ch010

APA

Jin, Y. & Matsuo, Y. (2012). Dynamics and Evolutional Patterns of Social Networks. In I. Ting, T. Hong, & L. Wang (Eds.), Social Network Mining, Analysis, and Research Trends: Techniques and Applications (pp. 156-170). IGI Global. https://doi.org/10.4018/978-1-61350-513-7.ch010

Chicago

Jin, Yingzi, and Yutaka Matsuo. "Dynamics and Evolutional Patterns of Social Networks." In Social Network Mining, Analysis, and Research Trends: Techniques and Applications, edited by I-Hsien Ting, Tzung-Pei Hong, and Leon Shyue-Liang Wang, 156-170. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-513-7.ch010

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Abstract

Previous chapters focused on the models of static networks, which consider a relational network at a given point in time. However, real-world social networks are dynamic in nature; for example, friends of friends become friends. Social network research has, in recent years, paid increasing attention to dynamic and longitudinal network analysis in order to understand network evolution, belief formation, friendship formation, and so on. This chapter focuses mainly on the dynamics and evolutional patterns of social networks. The chapter introduces real-world applications and reviews major theories and models of dynamic network mining.

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