W 11.1 - choi yun ji / 최윤지

 1. Summary

This chapter deals with social networks. In the late 1890s, Emile Durkheim and Ferdinand Thunnies exemplified the concept of social networks in social group research. Thunnies distinguished between a community and a society, and Thurkheim argued that interacting individuals made up social phenomena. In the early 20th century, Georg Zimmel studied the effects of network size on interactions. In the 1930s, Jacob L. Moreno analyzed the social interactions of small groups, and anthropologists Bronislaw Malinowski, Alfred Radcliffe-Brown, and Claude Lévi-Strauss laid the foundations for social network theory. Talcott Parsons and Peter Blau contributed through social structure and social exchange theory. In the 1970s, Harrison White and his students, Charles Tilly, and Stanley Milgram developed social network analysis. Mark Granovetter and Barry Wellman refined this. Since the late 1990s, scholars such as Duncan J. Watts and Albert-László Barabási have studied online social networks and face-to-face networks.

2. What's interesting
Social network analysis is divided into microscopic, intermediate, and macroscopic levels, and intensively studies different factors and relationships at each level. For example, we study relationships between individuals (diads and triads) at the microscopic level, and we analyze relationships within or between organizations at the intermediate level. Social networks have self-organizing and emergent properties, and a globally consistent pattern emerges from local interactions. This is related to the theory of complex systems. As the network size increases, the pattern becomes more pronounced, but practical limitations such as information overload exist in large-scale network analysis. Therefore, the quality of information is more important than the analysis scale. DIAids study relationships between two people, and Triads study relationships between three people. Research at the triad level is important for explaining equilibrium theory and social dynamics. The study of networks within an organization analyzes formal and informal relationships, and in large organizations, they focus on the interactions at the working group level and the organization level. Furthermore, experiments are conducted to optimize coordination of networked online groups. Self-network analysis focuses on properties such as size, relationship strength, density, centrality, reputation, isolation, contact, and legs of a network. It is used in various fields such as psychology, social psychology, and ethnographic kinship analysis.
These interesting points illustrate the complexity and multi-layered approach of social network analysis.

3. Discussion
"How do players who fill structural holes within an organization promote creativity and innovation? What are the specific impacts of these roles on the career advancement of organizations and individuals?"
a point of discussion
Role of the Information Intermediary - how the information intermediary facilitates the flow of information between various groups to discover and develop creative ideas. Skills and strategies needed to become an information intermediary.
Social capital and control benefits: how to mobilize social capital to secure new opportunities and resources.
How to manage and coordinate the flow of information with control advantages.