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Scale-Free Identity: The Emergence of Social Network Science
Problem: Science is full of punctuating events that terminate periods during which styles of doing research are more or less reproduced. During the Constructivist Turn (about 1976), the sociology of science left the institutionalist program behind and turned towards the Sociology of Scientific Knowledge with its focus on context effects. Social Network Analysis is a way of studying agents embedded in contexts. During the Cultural Turn (about 1992), a fraction of this domain initiated Relational Sociology, strongly associated with the theory of Harrison C. White. Proponents advocate modeling social networks not purely structurally but as intertwined with cultural meaning. Then, in about 1998, physicists discovered social networks as representations of complex systems. Small-world and scale-free networks are the paradigmatic models of this Network Science, the emergence of which marks the Complexity Turn in Social Network Analysis. This work addresses the structure/culture, micro/macro, and stability/change problems. How useful is Relational Sociology's concept of identity to model scientific communities? What is the importance of emergence in modeling identity? What mechanism can explain stability as well as change? What is the contribution of Network Science modeling? Approach: Relying on various models and mechanisms of socio-cultural processes from Relational Sociology and Complexity Science, an identity model is developed and calibrated in a case study of Social Network Science. This research domain results from the union of Social Network Analysis and Network Science. A unique dataset of 25,760 scholarly articles from one century of research (1916-2012) is created. Clustering this set of publications, five subdomains are detected that are labeled Social Psychology, Economic Sociology, Social Network Analysis, Complexity Science, and Web Science. These identities are then analyzed in terms of authorship, citation, and word usage structures and dynamics. For this purpose, a graph theoretical data model is ...
Scale-Free Identity: The Emergence of Social Network Science
Problem: Science is full of punctuating events that terminate periods during which styles of doing research are more or less reproduced. During the Constructivist Turn (about 1976), the sociology of science left the institutionalist program behind and turned towards the Sociology of Scientific Knowledge with its focus on context effects. Social Network Analysis is a way of studying agents embedded in contexts. During the Cultural Turn (about 1992), a fraction of this domain initiated Relational Sociology, strongly associated with the theory of Harrison C. White. Proponents advocate modeling social networks not purely structurally but as intertwined with cultural meaning. Then, in about 1998, physicists discovered social networks as representations of complex systems. Small-world and scale-free networks are the paradigmatic models of this Network Science, the emergence of which marks the Complexity Turn in Social Network Analysis. This work addresses the structure/culture, micro/macro, and stability/change problems. How useful is Relational Sociology's concept of identity to model scientific communities? What is the importance of emergence in modeling identity? What mechanism can explain stability as well as change? What is the contribution of Network Science modeling? Approach: Relying on various models and mechanisms of socio-cultural processes from Relational Sociology and Complexity Science, an identity model is developed and calibrated in a case study of Social Network Science. This research domain results from the union of Social Network Analysis and Network Science. A unique dataset of 25,760 scholarly articles from one century of research (1916-2012) is created. Clustering this set of publications, five subdomains are detected that are labeled Social Psychology, Economic Sociology, Social Network Analysis, Complexity Science, and Web Science. These identities are then analyzed in terms of authorship, citation, and word usage structures and dynamics. For this purpose, a graph theoretical data model is ...
Scale-Free Identity: The Emergence of Social Network Science
Lietz, Haiko (author) / Stein, Petra
2024-03-11
Theses
Electronic Resource
English
Wissenschaftssoziologie -- Soziales Netzwerk -- Struktur -- Bedeutung -- Komplexes System -- Emergenz -- Stabilität -- Sozialer Wandel -- Identität -- Kontrolle -- Mechanismus -- Bibliografische Daten -- Zitatenanalyse -- Perkolationstheorie -- Skalierungsgesetz -- Soziales System -- Fraktal -- Kritikalität -- Selbstähnlichkeit -- Ordnungs-Unordnungs-Umwandlung , ddc:300 , Fakultät für Gesellschaftswissenschaften » Institut für Soziologie (IfS)
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