Centrality in social networks conceptual clarification
By Linton C. Freeman. 1978
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Olaf Sporns
- D. Bassett
- E. Bullmore
- Alex Fornito
- Sacha Epskamp
- Martijn P. van den Heuvel
- Andrew Zalesky
- Jure Leskovec
Citations in the corpus
- Networked Cultural Diffusion and Creation on YouTube: An Analysis of YouTube Memes (2016, background): “Degree centrality was calculated as the number of connections with others within a network (Freeman, 1979).”
- Networks in Political Science: Back to the Future (2011, unknown): “Important work during this time was conducted byHarrisonWhite (White, Boorman, andBreiger 1976; Boorman andWhite 1976), Linton Freeman (Freeman 1979), and Everett Rogers (Rogers 1995); these scholars formulated some of the foundational concepts of the field and mentored the generation of scholars wh”
- Dimensions of Normal Personality as Networks in Search of Equilibrium: You Can't like Parties if you Don't like People (2012, methodology): “We inspected some formal indexes of centrality (Freeman, 1978) by means of R pack-”
- Analysing the structure of public–private partnership projects using network theory (2011, methodology): “Figure 7 Bipartite graph (collaboration network) (Ohkubo et al ., 2005)Freeman (1979) states that one of the main focuses of the network theory is to measure the centrality of actors and events through three widely used measures: (1) degree; (2) closeness; and (3) betweenness.”
- ITK: enabling reproducible research and open science (2014, unknown): “Closeness centrality is defined as, Freeman (1979) where d ( v , u ) the shortest path distance from node u to node v , and it is normalized by n − 1 nodes in the graph.”
- Belief Network Analysis: A Relational Approach to Understanding the Structure of Attitudes (2017, background): “1,3) may be identified by finding which belief lies on the greatest portion of geodesics in the network of squared correlations— that is, the node with the highest “shortest-path betweenness” (Freeman 1978).”
- The Performance Consequences of Ambidexterity in Strategic Alliance Formations: Empirical Investigation and Computational Theorizing (2007, background): “Hypothesis 3 is supported.”