Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
|Title of host publication||ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology|
|Number of pages||8|
|Publisher||Association for Computing Machinery, Inc.|
|Publication date||19 Jul 2020|
|Publication status||Published - 19 Jul 2020|
|Event||4th International Conference on Education and Multimedia Technology, ICEMT 2020 - Virtual, Online, Japan|
Duration: 19 Jul 2020 → 22 Jul 2020
|Conference||4th International Conference on Education and Multimedia Technology, ICEMT 2020|
|Periode||19/07/2020 → 22/07/2020|
|Series||ACM International Conference Proceeding Series|
This work is supported by the Publikasi Terindeks Interna-sional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).
© 2020 ACM.
- Expert locator system, H-index, Knowledge management, Knowledge sharing system, Publication keyword