{"title":"Research Network Analysis, Agenda Mapping and Research Productivity Monitoring: Insights from a Higher Education in the Philippines","authors":"Alfio I. Regla, Melvin A. Ballera","doi":"10.1109/ICISS53185.2021.9533262","DOIUrl":null,"url":null,"abstract":"Research is the fundamental role of a higher education institution or HEI in the Philippines to spur knowledge generation and transfer in the community. The collection of research and its activities can foster collaboration between academe and industry to contribute to economic development. As the institution’s collects its unstructured research data the challenge to determine its growing research areas, alignment to the research agenda suggested by the funding agency, authors topic of interest and the authors collaboration is challenging. This study aims to determine the growing research areas and its alignment to the harmonized research agenda suggested by the Department of Science and Technology (DOST) for 2017 and 2022, researchers’ topics or interest and authors collaboration from the collection of research outputs. Through the categorization of topic per paper the study finds out the growing areas of Technological Institute of the Philippines (TIP) and plot its research areas alignment to the DOST research agenda and visualize using the Tableau tools. Meanwhile, through social network analysis (SNA) with Gephi the study is able to show the authors collaboration networks and using the Latent Dirichlet Allocation (LDA) topic modeling technique can provide clusters of topics representing researchers’ topics of interest. Moreover, the visualization results can be a helpful tool for the research management and research decision and policy makers to recommend research area to focus and direction to increase research productivity.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS53185.2021.9533262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Research is the fundamental role of a higher education institution or HEI in the Philippines to spur knowledge generation and transfer in the community. The collection of research and its activities can foster collaboration between academe and industry to contribute to economic development. As the institution’s collects its unstructured research data the challenge to determine its growing research areas, alignment to the research agenda suggested by the funding agency, authors topic of interest and the authors collaboration is challenging. This study aims to determine the growing research areas and its alignment to the harmonized research agenda suggested by the Department of Science and Technology (DOST) for 2017 and 2022, researchers’ topics or interest and authors collaboration from the collection of research outputs. Through the categorization of topic per paper the study finds out the growing areas of Technological Institute of the Philippines (TIP) and plot its research areas alignment to the DOST research agenda and visualize using the Tableau tools. Meanwhile, through social network analysis (SNA) with Gephi the study is able to show the authors collaboration networks and using the Latent Dirichlet Allocation (LDA) topic modeling technique can provide clusters of topics representing researchers’ topics of interest. Moreover, the visualization results can be a helpful tool for the research management and research decision and policy makers to recommend research area to focus and direction to increase research productivity.