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Handbook of Social Network Technologies and Applications pp 3–21Cite as

Social Network Analysis: History, Concepts, and Research

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Abstract

Social network analysis (SNA), in essence, is not a formal theory in social science, but rather an approach for investigating social structures, which is why SNA is often referred to as structural analysis [1]. The most important difference between social network analysis and the traditional or classic social research approach is that the contexts of the social actor, or the relationships between actors are the first considerations of the former, while the latter focuses on individual properties. A social network is a group of collaborating, and/or competing individuals or entities that are related to each other. It may be presented as a graph, or a multi-graph; each participant in the collaboration or competition is called an actor and depicted as a node in the graph theory. Valued relations between actors are depicted as links, or ties, either directed or undirected, between the corresponding nodes. Actors can be persons, organizations, or groups – any set of related entities. As such, SNA may be used on different levels, ranging from individuals, web pages, families, small groups, to large organizations, parties, and even to nations.

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Notes

  1. 1.

    Guanxi, used to describe a personal connection between two people in which one is able to prevail upon another to perform a favor or service, or be prevailed upon, is a central concept in Chinese society.

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Authors and Affiliations

  1. School of Journalism and Communication, Wuhan University, Wuhan, China

    Mingxin Zhang

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  1. Mingxin Zhang
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Correspondence to Mingxin Zhang .

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Editors and Affiliations

  1. Dept. of Comp. & Elect. Engin. and, Florida Atlantic University, Glades Road 777, Boca Raton, 33431, Florida, USA

    Borko Furht

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Zhang, M. (2010). Social Network Analysis: History, Concepts, and Research. In: Furht, B. (eds) Handbook of Social Network Technologies and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7142-5_1

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  • DOI: https://doi.org/10.1007/978-1-4419-7142-5_1

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