W11.1 May 13 (Mon)XUE DONGXIN

Summary:

Social network theory is a pivotal tool in social science, offering insight into individual, group, organizational, and societal relationships. It prioritizes understanding social phenomena through connections rather than individual characteristics. Originating from the works of scholars like Durkheim and Taunis, the concept evolved through contributions from Moreno and others in the 1930s, expanding further with sociologists at Harvard University in the 1970s and gaining momentum in the late 1990s with the advent of web data. Analysis spans micro (individuals and small groups), meso (organizations and inter-group relationships), and macro (large-scale networks and complex systems) levels. 

 Interesting point：

The interdisciplinary reach of Social Network Analysis (SNA) extends beyond sociology, encompassing fields like psychology, anthropology, and biology, showcasing its wide-ranging academic influence. Its historical foundations trace back to the late 19th century, with the pioneering research of Durkheim and Tönnies, highlighting the deep historical background and rich legacy of social network analysis.

Question:

What strategies should be employed to strike a balance between the quality of information and the scale of data when conducting social network analysis?

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