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  1. Article: Network Analysis of the North American Skull Base Society Membership

    Luebs, John K. / Snyderman, Carl H.

    Journal of Neurological Surgery Part B: Skull Base

    2024  

    Abstract: Background: The membership of the North American Skull Base Society (NASBS) has grown considerably in recent years with diversity in subspecialty training, gender, and geography. The academic relationships and contributions of its membership have not ... ...

    Abstract Background: The membership of the North American Skull Base Society (NASBS) has grown considerably in recent years with diversity in subspecialty training, gender, and geography. The academic relationships and contributions of its membership have not been studied.
    Objectives: This study aimed to (1) measure academic contributions of NASBS membership; (2) identify influential nodes of academic collaboration; (3) identify opportunities for future collaboration and mentorship.
    Methods: Peer-reviewed publications of members of NASBS (2019 NASBS website) were identified using Scopus author name search. Network structures were constructed and analyzed using the graph-tool python library to produce a weighted coauthorship network and compute centrality measures. Visual network maps were then produced using Gephi network visualization software.
    Results: The coauthor network contained 952 members with found publications and 4,996 connections. A total of 846 (88.9%) members were contained in a single connected giant component; 102 members were unconnected, and 64 members had a single connection. Girvan–Newman clustering identified 267 communities, where 13 contained at least 1% of the total membership each. The three largest communities contained 23.3, 8.4, and 6.9% of members. There were 111 published members identified as women; 5.4% of women were unconnected versus 11.4% of men. Average publication count for women was 32.3 (standard deviation [SD] 38.5) versus 70.5 (SD 106) for men. Average citation count for women was 543 (SD 1,012) versus 1,389 (SD 2,893) for men.
    Conclusion: Network mapping of membership of the NASBS helps to visualize the academic activities and relationships of the NASBS and reveals areas of concentration and influence within the specialty.
    Keywords network ; gender ; society ; publications
    Language English
    Publishing date 2024-04-02
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2654269-9
    ISSN 2193-634X ; 2193-6331
    ISSN (online) 2193-634X
    ISSN 2193-6331
    DOI 10.1055/a-2297-9338
    Database Thieme publisher's database

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  2. Article: Network Analysis of Past Presidents of the North American Skull Base Society

    Luebs, John K. / Snyderman, Carl H.

    Journal of Neurological Surgery Part B: Skull Base

    2024  

    Abstract: Background: Little is known about the relative contributions and interactions of the past presidents of the North American Skull Base Society (NASBS) and skull base centers.: Objectives: 1) Measure academic contributions of past presidents; (2) ... ...

    Abstract Background: Little is known about the relative contributions and interactions of the past presidents of the North American Skull Base Society (NASBS) and skull base centers.
    Objectives: 1) Measure academic contributions of past presidents; (2) identify influential nodes of academic collaboration; (3) identify opportunities for future collaboration.
    Methods: Peer-reviewed publications of past presidents of NASBS from 1964 to July 2019 were identified using Scopus author name search. Network structures were constructed and analyzed using the graph-tool python library to produce a weighted co-authorship network base and compute centrality measures. Girvan–Newman clustering was applied to identify community structure. Network maps were then produced using Gephi network visualization software with force-directed layout algorithms.
    Results: The coauthor network of 29 presidents was fully connected, with a maximum shortest-path distance between presidents of 5. The mean number of connections from each node without respect to weighting was 5.31 (standard deviation [SD]: 3.53), and the mean number of connections with weighting was 8.40 (SD: 7.28). The number of unweighted connections ranged from 1 to 14 and weighted connections ranged from 0.25 to 24.7. Girvan–Newman clustering identified three communities with two that covered 93% of the network. The largest communities contained 14 and 13 presidents. The number of connections was correlated with h-index, both unweighted ( r 2  = 0.34) and weighted ( r 2  = 0.26).
    Conclusion: Network mapping of past presidents of the NASBS helps to capture the history of the NASBS and reveals areas of concentration and influence within the specialty.
    Keywords skull base ; presidents ; network ; history
    Language English
    Publishing date 2024-04-02
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2654269-9
    ISSN 2193-634X ; 2193-6331
    ISSN (online) 2193-634X
    ISSN 2193-6331
    DOI 10.1055/a-2297-9267
    Database Thieme publisher's database

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