A temporal model of research work tracking and assessing for an individual and a group

Wei Liang, Zixian Lu, Qun Jin, Yonghua Xiong, Min Wu

    研究成果: Conference contribution

    抄録

    Although there are many research works focused on scientific community discovery and researcher profiling, it is still a challenge to track and assess the research development for an individual researcher or a research group over time. In this study, we seek to model and quantify an individual's research work outcome during his/her research career. A temporal tracking model is introduced to represent research development for both an individual and a group along the time. Furthermore, assessing measures are proposed to depict how to quantify a research group's outcomes by its members' contribution. Based on our model, a research topic analyzing approach is proposed to extract the topics covered by a group and discover the group's research pattern. The analyzed output is helpful for a researcher to pursue his/her scientific life or find collaboration opportunities.

    元の言語English
    ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ440-445
    ページ数6
    ISBN(電子版)9781509018932
    DOI
    出版物ステータスPublished - 2016 5 2
    イベントIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
    継続期間: 2015 12 192015 12 21

    Other

    OtherIEEE International Conference on Smart City, SmartCity 2015
    China
    Chengdu
    期間15/12/1915/12/21

    Fingerprint

    research work
    Group
    Research and Development
    Quantify
    Model
    Profiling
    scientific community
    Output
    career

    ASJC Scopus subject areas

    • Information Systems
    • Media Technology
    • Computer Science Applications
    • Signal Processing
    • Computer Networks and Communications
    • Modelling and Simulation
    • Sociology and Political Science
    • Urban Studies

    これを引用

    Liang, W., Lu, Z., Jin, Q., Xiong, Y., & Wu, M. (2016). A temporal model of research work tracking and assessing for an individual and a group. : Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015 (pp. 440-445). [7463764] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartCity.2015.110

    A temporal model of research work tracking and assessing for an individual and a group. / Liang, Wei; Lu, Zixian; Jin, Qun; Xiong, Yonghua; Wu, Min.

    Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 440-445 7463764.

    研究成果: Conference contribution

    Liang, W, Lu, Z, Jin, Q, Xiong, Y & Wu, M 2016, A temporal model of research work tracking and assessing for an individual and a group. : Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015., 7463764, Institute of Electrical and Electronics Engineers Inc., pp. 440-445, IEEE International Conference on Smart City, SmartCity 2015, Chengdu, China, 15/12/19. https://doi.org/10.1109/SmartCity.2015.110
    Liang W, Lu Z, Jin Q, Xiong Y, Wu M. A temporal model of research work tracking and assessing for an individual and a group. : Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 440-445. 7463764 https://doi.org/10.1109/SmartCity.2015.110
    Liang, Wei ; Lu, Zixian ; Jin, Qun ; Xiong, Yonghua ; Wu, Min. / A temporal model of research work tracking and assessing for an individual and a group. Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 440-445
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    abstract = "Although there are many research works focused on scientific community discovery and researcher profiling, it is still a challenge to track and assess the research development for an individual researcher or a research group over time. In this study, we seek to model and quantify an individual's research work outcome during his/her research career. A temporal tracking model is introduced to represent research development for both an individual and a group along the time. Furthermore, assessing measures are proposed to depict how to quantify a research group's outcomes by its members' contribution. Based on our model, a research topic analyzing approach is proposed to extract the topics covered by a group and discover the group's research pattern. The analyzed output is helpful for a researcher to pursue his/her scientific life or find collaboration opportunities.",
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