Network Analysis in the Social Sciences

By Stephen P. Borgatti, Ajay Mehra, Daniel J. Brass, Giuseppe Labianca. 2009

4,129 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

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Citations in the corpus

EgoNet: identification of human disease ego-network modules (2014, methodology): “A well-established proposition in social network analysis is that egos with lots of structural holes are better performers in certain competitive settings [22].”
Multi-scale brain networks (2016, positive): “This shift has occurred in parallel with the maturation of another field, network science, which has made available a large set of analytic tools and frameworks for characterizing the organization of complex networks (Newman, 2003; Borgatti et al., 2009; Barabási, 2016).”
SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis (2015, methodology): “This concept has been applied to the analysis of node importance in terrorist and social networks [61,64], criminal networks [65], and food webs [66].”
Human Capital, Social Capital, and Social Network Analysis: Implications for Strategic Human Resource Management (2015, background): “His analysis revealed that the ability to predict who would run away had very little to do with individual traits and attributes of the girls, but instead was strongly determined by the relational ties and cliques among the girls (Borgatti et al., 2009).”
REVIEW: Predictive ecology in a changing world (2015, background): “logical research could benefit from current advances in other complex system fields to deal with its current inclination towards complexity (Borgatti et al. 2009).”
A Hierarchy of Limitations in Machine Learning (2020, background): “…and properties of those entities—just as mechanics, for example, has objects that have have properties like mass or momentum.34 And, as compared with statistics, the arguments of this literature are not necessarily applicable to understanding any specific real-world system (Borgatti et al., 2009).”
Extreme risk spillover network: application to financial institutions (2017, background): “Recently, network science has become a leading tool for understanding complex systems, e.g. the Internet (Barabái and Albert 1999), power grid systems (Watts and Strogatz 1998) and various social systems (Borgatti et al. 2009).”
Network Churn: The Effects of Self-Monitoring Personality on Brokerage Dynamics (2010, background): “Social network research has been preoccupied with demonstrating that the structure of social networks powerfully infl uences important outcomes, such as workplace performance and career success (Borgatti et al., 2009).”
Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network (2017, background): “Top journals like Nature, Science reckon social network a promising future [26,27,28].”