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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)


    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.

    Original languageEnglish
    Title of host publicationProceedings - 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
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9781509018932
    Publication statusPublished - 2016 May 2
    EventIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
    Duration: 2015 Dec 192015 Dec 21


    OtherIEEE International Conference on Smart City, SmartCity 2015


    • Research outcome quantifying
    • Research pattern tracking
    • Research work assessment
    • Temporal model

    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


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