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    Analysis of the Pertinence of Indian Women's Institutions in Collaborative Research

    Autor: 
    Muhuri, Samya
    ;
    Kumari, Suchi
    ;
    Namasudra, Suyel
    ;
    Kadry, Seifedine
    Fecha: 
    2023
    Palabra clave: 
    collaboration; measurement; engineering profession; education; social networking (online); productivity; computer science; centrality metric; collaborative research; overlapping community; social network; women-only institutes; JCR
    Revista / editorial: 
    IEEE Transactions on Computational Social Systems
    Citación: 
    S. Muhuri, S. Kumari, S. Namasudra and S. Kadry, "Analysis of the Pertinence of Indian Women’s Institutions in Collaborative Research," in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3183949.
    Tipo de Ítem: 
    Articulo Revista Indexada
    URI: 
    https://reunir.unir.net/handle/123456789/14537
    DOI: 
    https://doi.org/10.1109/TCSS.2022.3183949
    Dirección web: 
    https://bv.unir.net:2928/wos/alldb/full-record/WOS:000826440400001
    Resumen:
    Nowadays, the relevance of women-only educational institutes is questionable due to various reasons that include social uplifting, ample opportunities, and a free mindset among the population. Though women colleges and universities bring many female students to the purview of the traditional education system every year, other activities like research works and collaborative projects are still a concern for the educationists. In the current manuscript, the role of leading women-only universities and institutions is analyzed throughout India, to scrutinize its impact and opportunities in the research domain. All types of educational institutions and collaborative research work among them are represented as a social network. Different centrality metrics, such as closeness, betweenness, and eigenvector, are utilized to examine the influence of the individual institutes in the collaborative research network. An overlapping community detection method is proposed to perceive the posture of gender-biased universities in the mixed institutional model. The supremacy of the proposed approach is presented over the real-life benchmark datasets. The analytical results exhibit notable improvement over the state-of-the-art approaches and unfold a contemporary framework for strategic analysis in the higher education sector.
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