Community mapping for cross-boundary research collaboration

Shinichi Konomi

doi:10.1109/C5.2011.10

Community mapping for cross-boundary research collaboration

Shinichi Konomi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the 'messiness' of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database [1]. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.

Original language	English
Title of host publication	Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
Pages	11-16
Number of pages	6
DOIs	https://doi.org/10.1109/C5.2011.10
Publication status	Published - Jul 29 2011
Externally published	Yes
Event	9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 - Kyoto, Japan Duration: Jan 18 2011 → Jan 20 2011

Other

Other	9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
Country/Territory	Japan
City	Kyoto
Period	1/18/11 → 1/20/11

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/C5.2011.10

Cite this

Konomi, S 2011, Community mapping for cross-boundary research collaboration. in Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011., 5936685, pp. 11-16, 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011, Kyoto, Japan, 1/18/11. https://doi.org/10.1109/C5.2011.10

@inproceedings{e1cfd0091ca04957abae566161c349b7,

title = "Community mapping for cross-boundary research collaboration",

abstract = "Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the 'messiness' of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database [1]. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.",

author = "Shinichi Konomi",

year = "2011",

month = jul,

day = "29",

doi = "10.1109/C5.2011.10",

language = "English",

isbn = "9780769543635",

pages = "11--16",

booktitle = "Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011",

note = "9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 ; Conference date: 18-01-2011 Through 20-01-2011",

}

TY - GEN

T1 - Community mapping for cross-boundary research collaboration

AU - Konomi, Shinichi

PY - 2011/7/29

Y1 - 2011/7/29

N2 - Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the 'messiness' of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database [1]. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.

AB - Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the 'messiness' of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database [1]. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.

UR - http://www.scopus.com/inward/record.url?scp=79960733296&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960733296&partnerID=8YFLogxK

U2 - 10.1109/C5.2011.10

DO - 10.1109/C5.2011.10

M3 - Conference contribution

AN - SCOPUS:79960733296

SN - 9780769543635

SP - 11

EP - 16

BT - Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011

T2 - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011

Y2 - 18 January 2011 through 20 January 2011

ER -

Community mapping for cross-boundary research collaboration

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this