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

Standard

Expert locator system for finding co-authors using snowball network method : A case study of fasilkom ui lecturers. / Rampisela, Theresia V.; Sensuse, Dana Indra; Elisabeth, Damayanti; Subroto, Nurma Ayu Wigati S.

ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology. Association for Computing Machinery, Inc., 2020. p. 6-13 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Rampisela, TV, Sensuse, DI, Elisabeth, D & Subroto, NAWS 2020, Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers. in ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology. Association for Computing Machinery, Inc., ACM International Conference Proceeding Series, pp. 6-13, 4th International Conference on Education and Multimedia Technology, ICEMT 2020, Virtual, Online, Japan, 19/07/2020. https://doi.org/10.1145/3416797.3416831

APA

Rampisela, T. V., Sensuse, D. I., Elisabeth, D., & Subroto, N. A. W. S. (2020). Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers. In ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology (pp. 6-13). Association for Computing Machinery, Inc.. ACM International Conference Proceeding Series https://doi.org/10.1145/3416797.3416831

Vancouver

Rampisela TV, Sensuse DI, Elisabeth D, Subroto NAWS. Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers. In ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology. Association for Computing Machinery, Inc. 2020. p. 6-13. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3416797.3416831

Author

Rampisela, Theresia V. ; Sensuse, Dana Indra ; Elisabeth, Damayanti ; Subroto, Nurma Ayu Wigati S. / Expert locator system for finding co-authors using snowball network method : A case study of fasilkom ui lecturers. ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology. Association for Computing Machinery, Inc., 2020. pp. 6-13 (ACM International Conference Proceeding Series).

Bibtex

@inproceedings{eb0e04ff32a84bc08c306f2608f49d46,
title = "Expert locator system for finding co-authors using snowball network method: A case study of fasilkom ui lecturers",
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.",
keywords = "Expert locator system, H-index, Knowledge management, Knowledge sharing system, Publication keyword",
author = "Rampisela, {Theresia V.} and Sensuse, {Dana Indra} and Damayanti Elisabeth and Subroto, {Nurma Ayu Wigati S.}",
note = "Funding Information: This work is supported by the Publikasi Terindeks Interna-sional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020). Publisher Copyright: {\textcopyright} 2020 ACM.; 4th International Conference on Education and Multimedia Technology, ICEMT 2020 ; Conference date: 19-07-2020 Through 22-07-2020",
year = "2020",
month = jul,
day = "19",
doi = "10.1145/3416797.3416831",
language = "English",
series = "ACM International Conference Proceeding Series",
pages = "6--13",
booktitle = "ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology",
publisher = "Association for Computing Machinery, Inc.",

}

RIS

TY - GEN

T1 - Expert locator system for finding co-authors using snowball network method

T2 - 4th International Conference on Education and Multimedia Technology, ICEMT 2020

AU - Rampisela, Theresia V.

AU - Sensuse, Dana Indra

AU - Elisabeth, Damayanti

AU - Subroto, Nurma Ayu Wigati S.

N1 - Funding Information: This work is supported by the Publikasi Terindeks Interna-sional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020). Publisher Copyright: © 2020 ACM.

PY - 2020/7/19

Y1 - 2020/7/19

N2 - 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.

AB - 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.

KW - Expert locator system

KW - H-index

KW - Knowledge management

KW - Knowledge sharing system

KW - Publication keyword

UR - http://www.scopus.com/inward/record.url?scp=85094201823&partnerID=8YFLogxK

U2 - 10.1145/3416797.3416831

DO - 10.1145/3416797.3416831

M3 - Article in proceedings

AN - SCOPUS:85094201823

T3 - ACM International Conference Proceeding Series

SP - 6

EP - 13

BT - ICEMT 2020 - 2020 the 4th International Conference on Education and Multimedia Technology

PB - Association for Computing Machinery, Inc.

Y2 - 19 July 2020 through 22 July 2020

ER -

ID: 320796324