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Modeling Network Dynamics
- Publication Year :
- 2017
-
Abstract
- One of the great lessons from the last half century of research on social networks is that relationships are constantly in flux. While much social network analysis focuses on static relationships between actors, there is also a rich tradition of work extending back to foundational studies in network science focused on the notion that network change is an indelible aspect of social life for human and non-human actors alike (e.g., Bott, 1957; Heider, 1946; Newcomb 1961; Rapoport, 1949; Sampson, 1969). Today, social network researchers benefit from this history in that a host of methods to collect and analyze such dynamic network data have been developed. Among them, the methods based on stochastic process theory have given rise to a paradigm where inferences and predictions can be made on the mechanisms that drive changes in social structure.
- Subjects :
- SocArXiv|Social and Behavioral Sciences|Sociology|Ethnomethodology and Conservation Analysis
Mathematical Sociology
Ethnomethodology and Conservation Analysis
Comparative and Historical Sociology
SocArXiv|Social and Behavioral Sciences|Sociology|Methodology
Methodology
SocArXiv|Social and Behavioral Sciences|Sociology|History of Sociology
Social and Behavioral Sciences
FOS: Sociology
SocArXiv|Social and Behavioral Sciences|Sociology|Comparative and Historical Sociology
bepress|Social and Behavioral Sciences|Sociology
SocArXiv|Social and Behavioral Sciences|Sociology
Sociology
bepress|Social and Behavioral Sciences|Sociology|Quantitative, Qualitative, Comparative, and Historical Methodologies
SocArXiv|Social and Behavioral Sciences|Sociology|Mathematical Sociology
History of Sociology
bepress|Social and Behavioral Sciences
SocArXiv|Social and Behavioral Sciences
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....077e714e8235206236e350e03ad83c84