Analysis of ResearchGate, a Community Detection Approach

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HEYDARI MOHAMMAD; Teimourpour Babak

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

Download Full-Text

View:

571

Download:

313

Information Seminar Paper

Title

Analysis of ResearchGate, a Community Detection Approach

Author(s)

HEYDARI MOHAMMAD | Teimourpour Babak

Keywords

Social Network Analysis

Scientific Network

Louvain Algorithm

Network Centrality

Abstract

We are living in the data age. Communications over Scientific Networks creates new opportunities for researchers who aim to discover the hidden pattern in these huge repositories. This study utilizes network science to create collaboration network of Iranian Scientific Institutions. A modularity-based approach applied to find network communities. To reach a big picture of science production flow, analysis of the collaboration network is crucial. Our results demonstrated that geographic location closeness and ethnic attributes has important roles in academic collaboration network establishment. Besides, it shows that famous scientific centers in the capital city of Iran, Tehran has strong influence on the production flow of scientific activities. These academic papers are mostly viewed and downloaded from the United State of America, China, India, and Iran. The motivation of this research is that by discovering hidden communities in the network and finding the structure of intuitions communications, we can identify each scientific center research potential separately and clear mutual scientific fields. Therefore, an efficient strategic program can be design, develop and test to keep scientific institutions in progress path and navigate their research goals into a straight useful roadmap to identify and fill the unknown gaps.

Video

Cites

No record.

References

No record.

Cite

APA: Copy

HEYDARI, MOHAMMAD, & Teimourpour, Babak. (2020). Analysis of ResearchGate, a Community Detection Approach. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949203/en

Vancouver: Copy

HEYDARI MOHAMMAD, Teimourpour Babak. Analysis of ResearchGate, a Community Detection Approach. 2020. Available from: https://sid.ir/paper/949203/en

IEEE: Copy

MOHAMMAD HEYDARI, and Babak Teimourpour, “Analysis of ResearchGate, a Community Detection Approach,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949203/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops