Dynamic force-directed graph with weighted nodes for scholar network visualization
Through the growth of portals and venues to publish academic publications, the number of academic publications is growing exponentially in recent years. An effective exploration and fast navigation in the collection of academic publications become an urgent need to help academic researchers find pub...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
The Science and Information (SAI) Organization Limited
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/101024/ |
| _version_ | 1848863473941872640 |
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| author | Mohd. Aris, Khalid Al-Walid Ramasamy, Chitra Mohd Aris, Teh Noranis Zolkepli, Maslina |
| author_facet | Mohd. Aris, Khalid Al-Walid Ramasamy, Chitra Mohd Aris, Teh Noranis Zolkepli, Maslina |
| author_sort | Mohd. Aris, Khalid Al-Walid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Through the growth of portals and venues to publish academic publications, the number of academic publications is growing exponentially in recent years. An effective exploration and fast navigation in the collection of academic publications become an urgent need to help academic researchers find publications related to their research and the surrounding community. A scholar network visualization approach is proposed to help users to explore a large number of academic publications concerning the strength of the relationship between each publication. The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. The proposed approach visualizes data by incorporating a force-directed graph with weighted nodes and vertices to give more descriptive information of millions of raw data such as author names, publication title, publication year, publication venue and number of citations from the scholar network dataset. By introducing a weighted relationship in the network visualization, the proposed approach can give a more insightful detail of each publication such as a highly cited publication by looking at and exploring the generated interactive graph. The proposal is targeted to be incorporated into a larger-scale scholar network analytical dashboard that can offer various visualization approaches under one flagship application. |
| first_indexed | 2025-11-15T13:33:29Z |
| format | Article |
| id | upm-101024 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:33:29Z |
| publishDate | 2022 |
| publisher | The Science and Information (SAI) Organization Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1010242023-06-19T03:59:29Z http://psasir.upm.edu.my/id/eprint/101024/ Dynamic force-directed graph with weighted nodes for scholar network visualization Mohd. Aris, Khalid Al-Walid Ramasamy, Chitra Mohd Aris, Teh Noranis Zolkepli, Maslina Through the growth of portals and venues to publish academic publications, the number of academic publications is growing exponentially in recent years. An effective exploration and fast navigation in the collection of academic publications become an urgent need to help academic researchers find publications related to their research and the surrounding community. A scholar network visualization approach is proposed to help users to explore a large number of academic publications concerning the strength of the relationship between each publication. The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. The proposed approach visualizes data by incorporating a force-directed graph with weighted nodes and vertices to give more descriptive information of millions of raw data such as author names, publication title, publication year, publication venue and number of citations from the scholar network dataset. By introducing a weighted relationship in the network visualization, the proposed approach can give a more insightful detail of each publication such as a highly cited publication by looking at and exploring the generated interactive graph. The proposal is targeted to be incorporated into a larger-scale scholar network analytical dashboard that can offer various visualization approaches under one flagship application. The Science and Information (SAI) Organization Limited 2022 Article PeerReviewed Mohd. Aris, Khalid Al-Walid and Ramasamy, Chitra and Mohd Aris, Teh Noranis and Zolkepli, Maslina (2022) Dynamic force-directed graph with weighted nodes for scholar network visualization. International Journal of Advanced Computer Science and Applications(IJACSA), 13 (12). art. no. 89. pp. 756-763. ISSN 2158-107X; ESSN: 2156-5570 https://thesai.org/Publications/ViewPaper?Volume=13&Issue=12&Code=IJACSA&SerialNo=89 10.14569/IJACSA.2022.0131289 |
| spellingShingle | Mohd. Aris, Khalid Al-Walid Ramasamy, Chitra Mohd Aris, Teh Noranis Zolkepli, Maslina Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title | Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title_full | Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title_fullStr | Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title_full_unstemmed | Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title_short | Dynamic force-directed graph with weighted nodes for scholar network visualization |
| title_sort | dynamic force-directed graph with weighted nodes for scholar network visualization |
| url | http://psasir.upm.edu.my/id/eprint/101024/ http://psasir.upm.edu.my/id/eprint/101024/ http://psasir.upm.edu.my/id/eprint/101024/ |