Abstract
The Italian academic community is an interesting case study of emerging collaborations among people that share interest in some topics. In this paper, we select and analyze three different research areas—defined by the Italian law “academic disciplines” (SSDs)—each with different topics and interests: computer engineering, mathematics and economics. Specifically, we first collect the data of the academic researchers belonging to these SSDs from Elsevier’s Scopus public database and create the co–authorship networks. Then, we study the topological characteristics and the existing communities for each network and compare them, highlighting differences and similarities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Elsevier Developer - Academic Research. Accessed July 2021
Elsevier Developer - API Service Agreement. Accessed July 2021
Ministero dell’Università e della Ricerca - Professori e Ricercatori. Accessed May 2021
Carchiolo, V., Longheu, A., Malgeri, M., Mangioni, G.: Communities unfolding in multislice networks. In: da F. Costa, L., Evsukoff, A., Mangioni, G., Menezes, R. (eds.) Complex Networks. CCCIS, vol. 116, pp. 187–195 (2011). Springer, Heidelberg. https://doi.org/10.1007/978-3-642-25501-4_19
Chuan, P.M., Son, L.H., Ali, M., Khang, T.D., Huong, L.T., Dey, N.: Link prediction in co-authorship networks based on hybrid content similarity metric. Appl. Intell. 48(8), 2470–2486 (2017). https://doi.org/10.1007/s10489-017-1086-x
Hirsch, J.E.: An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. 102(46), 16569–16572 (2005)
Hu, X., Li, O.Z., Pei, S.: Of stars and galaxies - co-authorship network and research. China J. Account. Res. 13(1), 1–30 (2020)
Jeong, S., Choi, J.Y., Kim, J.: The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship. Scientometrics 89(3), 967 (2011). https://doi.org/10.1007/s11192-011-0474-y
Molontay, R., Nagy, M.: Two decades of network science: as seen through the co-authorship network of network scientists. In: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, pp. 578–583. Association for Computing Machinery, New York (2019)
Moschini, U., Fenialdi, E., Daraio, C., Ruocco, G., Molinari, E.: A comparison of three multidisciplinarity indices based on the diversity of scopus subject areas of authors’ documents, their bibliography and their citing papers. Scientometrics 125(2), 1145–1158 (2020). https://doi.org/10.1007/s11192-020-03481-x
Navarro, G.: A guided tour to approximate string matching. ACM Comput. Surv. 33, 2001 (1999)
Newman, M.E.J.: Mixing patterns in networks. Phys. Rev. E 67, 026126 (2003)
Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45(2), 167–256 (2003). https://doi.org/10.1137/S003614450342480
Newman, M.E.J.: Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E 74, 036104 (2006)
Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113 (2004)
Nicosia, V., Mangioni, G., Carchiolo, V., Malgeri, M.: Extending the definition of modularity to directed graphs with overlapping communities. J. Stat. Mech. Theory Exp. 2009(03), P03024 (2009)
Peixoto, T.P.: Efficient monte Carlo and greedy heuristic for the inference of stochastic block models. Phys. Rev. E 89, 012804 (2014)
Subramanyam, K.: Bibliometric studies of research collaboration: a review. J. Inf. Sci. 6(1), 33–38 (1983)
Acknowledgment
This work has been partially supported by the project of University of Catania PIACERI, PIAno di inCEntivi per la Ricerca di Ateneo.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Carchiolo, V., Grassia, M., Malgeri, M., Mangioni, G. (2022). Analysis of the Co-authorship Sub-networks of Italian Academic Researchers. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-030-93409-5_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93408-8
Online ISBN: 978-3-030-93409-5
eBook Packages: EngineeringEngineering (R0)