A Mathematical Model for Group Structures

Bavelas, Alex

doi:10.17730/humo.7.3.f4033344851gl053

Cited by 639 publications

(416 citation statements)

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“…The concept of node centrality in networks was introduced in the beginning of the 50's when Bavelas (1948;1950) and Leavitt (1951) used this concept in communication networks.…”

Section: On Walk-based Network Measuresmentioning

confidence: 99%

Generalized walks-based centrality measures for complex biological networks

Estrada

2010

Journal of Theoretical Biology

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A strategy for zooming in and out the topological environment of a node in a complex network is developed. This approach is applied here to generalize the subgraph centrality of nodes in complex networks. In this case the zooming in strategy is based on the use of some known matrix functions which allow focusing locally on the environment of a node. When a zooming out strategy is applied new matrix functions are introduced, which give a more global picture of the topological surrounds of a node. These indices permit a modulation of the scales at which the environment of a node influences its centrality. We apply them to the study of 10 protein-protein interaction (PPI) networks. We illustrate the similarities and differences between the generalized subgraph centrality indices as well as among them and some classical centrality measures. We show here that the use of centrality indices based on the zooming in strategy identifies a larger number of essential proteins in the yeast PPI network than any of the other centrality measures studied.

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“…The concept of node centrality in networks was introduced in the beginning of the 50's when Bavelas (1948;1950) and Leavitt (1951) used this concept in communication networks.…”

Section: On Walk-based Network Measuresmentioning

confidence: 99%

Generalized walks-based centrality measures for complex biological networks

Estrada

2010

Journal of Theoretical Biology

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“…The second intuition grows out of the idea that people are somehow central to the degree they stand between others on the paths of communication (Bavelas 1948;Shimbel 1953;Shaw 1954;Cohn and Marriott 1958;Anthonisse 1971;Freeman 1977;Friedkin 1991). Such people can facilitate or inhibit the communication of others and are, therefore, in a position to mediate the access of others to information, power, prestige or influence.…”

Section: Introductionmentioning

confidence: 99%

Centrality in valued graphs: A measure of betweenness based on network flow

1991

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“…It is interesting to note that this gatekeeping tradition can also be traced back to Kurt Lewin (1947), in particular through the work on network centrality by Bavelas (1948), who was also a student of Lewin (Scott, 2011). Despite having these shared roots, the gatekeeping traditions in journalism research and network theory have evolved mostly as two separate branches.…”

Section: Gatekeeping On Social Mediamentioning

confidence: 99%

Social media gatekeeping: An analysis of the gatekeeping influence of newspapers’ public Facebook pages

Welbers

Opgenhaffen

2018

New Media & Society

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Due to the rising importance of social media platforms for news diffusion, newspapers are relying on social media editors to promote the distribution of their news items on these platforms. In this study, we investigate how much of an impact these social media editors really have, focusing on the impact of newspapers' public pages on Facebook. Since the actions of individual users are not visible on many platforms due to privacy consideration, we propose a method that leverages time series of aggregated scores for total user engagement, which are available for various platforms. We use this method to study and compare the influence of Facebook pages for six newspapers from the United Kingdom, the Netherlands, and Flanders, for all news items published over 2 weeks in 2017.

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A Mathematical Model for Group Structures

Cited by 639 publications

References 0 publications

Generalized walks-based centrality measures for complex biological networks

Generalized walks-based centrality measures for complex biological networks

Centrality in valued graphs: A measure of betweenness based on network flow

Social media gatekeeping: An analysis of the gatekeeping influence of newspapers’ public Facebook pages

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