2015
DOI: 10.1111/jcom.12158
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Network Effects in the Academic Market: Mechanisms for Hiring and Placing PhDs in Communication (2007-2014)

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Cited by 36 publications
(29 citation statements)
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References 45 publications
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“…Centrality in online political networks has recently been studied using both the indegree and betweenness measures. Choi's (, p. 701) of online political discussion groups in South Korea operationalized the concept of opinion leaders as those “who had a high share both of degree and flow betweenness centralities.” Borge and Esteve Del Valle () and Esteve Del Valle () showed the relevance of using the betweenness centrality measure to detect brokers in online parliamentary networks, and Mai, Liu, & González‐Bailón () the relevance of using the indegree network parameter to study hiring and placement dynamics across PhD programs in Communication. Dubois and Gaffney () discovered that indegree and eigenvector centrality are similar measures and identified the traditional political elite as influentials.…”
Section: Theoretical Background and Hypothesesmentioning
confidence: 99%
See 1 more Smart Citation
“…Centrality in online political networks has recently been studied using both the indegree and betweenness measures. Choi's (, p. 701) of online political discussion groups in South Korea operationalized the concept of opinion leaders as those “who had a high share both of degree and flow betweenness centralities.” Borge and Esteve Del Valle () and Esteve Del Valle () showed the relevance of using the betweenness centrality measure to detect brokers in online parliamentary networks, and Mai, Liu, & González‐Bailón () the relevance of using the indegree network parameter to study hiring and placement dynamics across PhD programs in Communication. Dubois and Gaffney () discovered that indegree and eigenvector centrality are similar measures and identified the traditional political elite as influentials.…”
Section: Theoretical Background and Hypothesesmentioning
confidence: 99%
“…The first column of the three tables reports the estimates of the baseline model (Model 1) containing the arc and the full specification of endogenous network effects: popularity, reciprocity, and brokerage. The edge parameter is negative, a common characteristic of sparse networks (see Mai et al, ). The estimates suggest that popularity and reciprocity remain positive and significant ( p < 1e‐04) across model specifications, whereas brokerage remains significant ( p < 1e‐04) but negative.…”
Section: Political and Network Characteristics Of The Catalan Parliammentioning
confidence: 99%
“…The last column of the two tables reports the estimates of Model 4, which includes all the variables of the analysis. In both tables, the edge parameter is negative, a common characteristic of sparse networks (Mai et al 2015). The estimates suggest that reciprocity and transitivity remain positive and significant across all models, whereas popularity remains significant but negative.…”
Section: Resulting Erg Modelsmentioning
confidence: 90%
“…It operates largely through the educational system. (Rivera, 2015: 3)Much literature has documented how the hiring of faculty is affected by institutional pedigree (see, for example, Barnett and Feeley, 2011; Clauset et al., 2015; Mai et al., 2015; Warner and Clauset, 2015; Way et al., 2016). Way et al, (2016), for instance, assert doctoral prestige to be an important factor when hiring faculty.…”
Section: Background and Relevant Prior Researchmentioning
confidence: 99%