Ego network betweenness

By Martin G. Everett, Stephen P. Borgatti. Soc. Networks, 2005

666 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/01ebfdb48fdf2cd286260db3789a221ffda87a44

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs (2009, background): “This correlation is also supported by Everett and Borgatti [ 12 ].”
Social network analysis for routing in disconnected delay-tolerant MANETs (2007, background): “A]i,j [8].”
Centrality measure in graphs (2010, background): “[1,2,6,13,21,29,31,38,42,43] different efficient means have been sought [8,42,43, 47 ,48] for the computation of different centrality measures, further mathematical results have been enunciated [43,45,46,49,50] and comparisons of different definitions have been made [51–55].”
Predicting Employee Turnover from Friendship Networks (2008, background): “The cumulative findings of the studies by Feeley (2000), Feeley and Barnett (1997), and Mossholder et al. (2005) indicate a moderately strong relationship (r between .22 and .48) between social network position and employee turnover. However, these studies do not provide a clear and empirically test”
Social Capital of Young Technology Firms and Their IPO Values: The Complementary Role of Relevant Absorptive Capacity (2011, positive): “…the absolute local centrality measure (the number of links incident on an actor) to capture the amount of social capital, the same as the ego degree centrality in an ego network of R&D alliance relationships, with the young technology firm as the ego (e.g., Everett and Borgatti 2005; Freeman 1982).”
Universities and open innovation: the determinants of network centrality (2019, background): “…concepts and techniques that identify the centrality of actors within particular network systems, with such centrality defined as the importance or prominence of an individual actor in a given 1 3 network (Freeman 1977, 1979; Borgatti 2005; Everett and Borgatti 2005; Owen-Smith and Powell 2004).”
Cache "less for more" in information-centric networks (extended version) (2012, methodology): “This approximation is based on the ego network betweenness concept [40].”
Routing in Delay/Disruption Tolerant Networks: A Taxonomy, Survey and Challenges (2013, background): “Since it is difficult to calculate the centrality6 in a large scale network, SimBet [51] estimates the centrality for each node in Delay/Disruption Tolerant Social Networks (DTSNs), borrowing from the concept of Ego networks [52] to define the utility metric measured by betweenness and similarity.”
Secondhand Brokerage: Evidence On The Importance Of Local Structure For Managers, Bankers, And Analysts (2007, background): “Everett and Borgatti (2005) provided one of the few, if not the only, study of structural holes among direct contacts relative to holes in a broader network (see Reagans and Zuckerman [2006] for a related analysis).”
Notes on the betweenness centrality of a graph (2012, background): “of vertices within their ego networks (that is, within graphs induced by their neighbourhoods) and its correlation with the betweenness of vertices in random graphs and real-world networks is discussed in [5].”
Culture, trust, and social networks (2008, methodology): “The other is the ‘ego network betweenness’ index proposed by Everett and Borgatti (2005).”
Social network analysis: A methodological introduction (2008, background): “3 Unfortunately , this means that it will be fairly non-robust to error and missing data in certain settings, and that it cannot be sampled from local network data (see, however, Borgatti et al., 2006 and Everett & Borgatti, 2005 for a counterpoint and some pragmatic approximations).”
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation (2017, background): “An ego network consists of a single node (ego) together with the nodes they are connected to (alters) and all the edges among those alters (Everett and Borgatti, 2005).”
Network Churn: The Effects of Self-Monitoring Personality on Brokerage Dynamics (2010, methodology): “As a test of robustness, we also computed an alternative measure of brokerage, “ego betweenness,” which was computed as the sum of the proportion of times ego lies on the shortest path between each pair of alters (Everett and Borgatti, 2005).”
A Survey on Trust Modeling (2015, background): “There are abundant metrics in the literature to model centrality or influence in networks [Everett and Borgatti 2005; Bonacich 1987; Brandes 2001; Freeman 1979; Freeman et al. 1991; Goh et al. 2003; Sabidussi 1966; Hage and Harary 1995; Shimbel 1953].”