Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers

Theresia V. Rampisela, Dana Indra Sensuse, Damayanti Elisabeth, Nurma Ayu Wigati S. Subroto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the essential activities for academics is research. Research is typically done through collaborations. One way to find research collaborators is through existing connections, for example, via the co-author relationships. However, existing systems only provide limited information on collaborators. Furthermore, previous works have not fully explored the details of co-author relationships. Hence, we propose an Expert Locator System (ELS) that can identify collaborators and provide information on the location, publication keywords, as well as their impact and productivity. We can obtain the relationship using the snowball network method, a type of Social Network Analysis (SNA). This ELS can serve to obtain collaborators' information that can be useful in conducting research.

Original languageEnglish
Title of host publicationICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology
PublisherAssociation for Computing Machinery
Pages6-13
Number of pages8
ISBN (Electronic)9781450388375
DOIs
Publication statusPublished - 19 Jul 2020
Event4th International Conference on Education and Multimedia Technology, ICEMT 2020 - Virtual, Online, Japan
Duration: 19 Jul 202022 Jul 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Education and Multimedia Technology, ICEMT 2020
Country/TerritoryJapan
CityVirtual, Online
Period19/07/2022/07/20

Keywords

  • Expert locator system
  • H-index
  • Knowledge management
  • Knowledge sharing system
  • Publication keyword

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