Diversity Index of Academic Community Ecosystem by Co-authorship Analysis with Granger Causality
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- Community analysis; Granger causality; Academic social
Compared to individual-level analysis, community-level analysis provides a new perspective to inspect network structure. It focuses on modeling the evolving relationships between communities. Intuitively, community-level analysis is a generalization of individual-level analysis. It reflects a macroscopic evolution of a network and reduces the overfitting of individual analysis to some degree. In this paper, we investigate the co-authorship characteristics between different affiliations in academic social networks and then adopt the weighted multigraph model to establish the coauthorships between communities. Subsequently, we define the Co-authorship Factor (CF) for each pair of communities and then propose the modified Shannon Co-authorship Diversity Index (SCDI) and Renyi Co-authorship Diversity Index (RCDI) to measure the diversity of co-authorship ecosystem of a certain community. Finally, we apply the Granger causality to model the mutual co-authorship influences between communities along time. We verify our proposed indexes on real dataset which is mainly based on the DBLP and Microsoft Academic Graph (MAG) datasets.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rui Wang PY - 2019/05 DA - 2019/05 TI - Diversity Index of Academic Community Ecosystem by Co-authorship Analysis with Granger Causality BT - Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019) PB - Atlantis Press SP - 8 EP - 15 SN - 2352-5428 UR - https://doi.org/10.2991/icmete-19.2019.3 DO - https://doi.org/10.2991/icmete-19.2019.3 ID - Wang2019/05 ER -