AIRank: Author Impact Ranking through Positions in Collaboration Networks
Citation is a universally acknowledged way for scientific impact evaluation. However, due to its easy manipulability, simply relying on citation cannot objectively reflect the actual impact of scholars. Instead of citation, we utilize the academic networks, in virtue of their available and abundant...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/4697485 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555937543487488 |
|---|---|
| author | Jun Zhang Yan Hu Zhaolong Ning Amr Tolba Elsayed Elashkar Feng Xia |
| author_facet | Jun Zhang Yan Hu Zhaolong Ning Amr Tolba Elsayed Elashkar Feng Xia |
| author_sort | Jun Zhang |
| collection | DOAJ |
| description | Citation is a universally acknowledged way for scientific impact evaluation. However, due to its easy manipulability, simply relying on citation cannot objectively reflect the actual impact of scholars. Instead of citation, we utilize the academic networks, in virtue of their available and abundant academic information, to evaluate the scientific impact of scholars in this paper. Through the collaboration among scholars in academic networks, we notice an interesting phenomenon that scholars in some special positions can access more kinds of information and connect researchers from different groups to promote the scientific collaborations. However, this important fact is generally ignored by the existing approaches. Motivated by the observations above, we propose the novel method AIRank to evaluate the scientific impact of scholars. Our method not only considers the impact of scholars through the mutual reinforcement process in heterogeneous academic networks, but also integrates the structural holes theory and information entropy theory to depict the benefit that scholars obtain via their positions in the network. The experimental results demonstrate the effectiveness of AIRank in evaluating the impact of scholars more comprehensively and finding more top ranking scholars with interdisciplinary nature. |
| format | Article |
| id | doaj-art-9ff735966eee46d3b46898de9972bada |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9ff735966eee46d3b46898de9972bada2025-02-03T05:46:46ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/46974854697485AIRank: Author Impact Ranking through Positions in Collaboration NetworksJun Zhang0Yan Hu1Zhaolong Ning2Amr Tolba3Elsayed Elashkar4Feng Xia5Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, ChinaComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi ArabiaAdministrative Sciences Department, Community College, King Saud University, Riyadh 11437, Saudi ArabiaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, ChinaCitation is a universally acknowledged way for scientific impact evaluation. However, due to its easy manipulability, simply relying on citation cannot objectively reflect the actual impact of scholars. Instead of citation, we utilize the academic networks, in virtue of their available and abundant academic information, to evaluate the scientific impact of scholars in this paper. Through the collaboration among scholars in academic networks, we notice an interesting phenomenon that scholars in some special positions can access more kinds of information and connect researchers from different groups to promote the scientific collaborations. However, this important fact is generally ignored by the existing approaches. Motivated by the observations above, we propose the novel method AIRank to evaluate the scientific impact of scholars. Our method not only considers the impact of scholars through the mutual reinforcement process in heterogeneous academic networks, but also integrates the structural holes theory and information entropy theory to depict the benefit that scholars obtain via their positions in the network. The experimental results demonstrate the effectiveness of AIRank in evaluating the impact of scholars more comprehensively and finding more top ranking scholars with interdisciplinary nature.http://dx.doi.org/10.1155/2018/4697485 |
| spellingShingle | Jun Zhang Yan Hu Zhaolong Ning Amr Tolba Elsayed Elashkar Feng Xia AIRank: Author Impact Ranking through Positions in Collaboration Networks Complexity |
| title | AIRank: Author Impact Ranking through Positions in Collaboration Networks |
| title_full | AIRank: Author Impact Ranking through Positions in Collaboration Networks |
| title_fullStr | AIRank: Author Impact Ranking through Positions in Collaboration Networks |
| title_full_unstemmed | AIRank: Author Impact Ranking through Positions in Collaboration Networks |
| title_short | AIRank: Author Impact Ranking through Positions in Collaboration Networks |
| title_sort | airank author impact ranking through positions in collaboration networks |
| url | http://dx.doi.org/10.1155/2018/4697485 |
| work_keys_str_mv | AT junzhang airankauthorimpactrankingthroughpositionsincollaborationnetworks AT yanhu airankauthorimpactrankingthroughpositionsincollaborationnetworks AT zhaolongning airankauthorimpactrankingthroughpositionsincollaborationnetworks AT amrtolba airankauthorimpactrankingthroughpositionsincollaborationnetworks AT elsayedelashkar airankauthorimpactrankingthroughpositionsincollaborationnetworks AT fengxia airankauthorimpactrankingthroughpositionsincollaborationnetworks |