Infrastructure of Scientometrics: The Big and Network Picture

Wu, Jinshan

doi:10.2478/jdis-2019-0017

Abstract

A network is a set of nodes connected via edges, with possibly directions and weights on the edges. Sometimes, in a multi-layer network, the nodes can also be heterogeneous. In this perspective, based on previous studies, we argue that networks can be regarded as the infrastructure of scientometrics in the sense that networks can be used to represent scientometric data. Then the task of answering various scientometric questions related to this data becomes an algorithmic problem in the corresponding network.

References

Alvarez-Hamelin, J.I., Dall’Asta, L., Barrat, A., & Vespignani, A. (2008). K-core decomposition of Internet graphs: Hierarchies, selfsimilarity and measurement biases. Networks and Heterogeneous Media, 3(2), 371–393. doi:10.3934/nhm.2008.3.371. Annual European Conference on Complex Systems, Dresden, GERMANY, OCT 01-06, 2007.
Open DOI Search in Google Scholar Back to article
Amjad, T., Ding, Y., Daud, A., Xu, J., & Malic, V. (2015). Topic-based heterogeneous rank. Scientometrics, 104(1), 313–334. doi:10.1007/s11192-015-1601-y.
Open DOI Search in Google Scholar Back to article
Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30, 107–117. In proceedings of the Seventh International World Wide Web Conference. doi:10.1016/S0169-7552(98)00110-X.
Open DOI Search in Google Scholar Back to article
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377. doi:10.1002/asi.20317.
Open DOI Search in Google Scholar Back to article
Gyöngyi, Z., Garcia-Molina, H., & Pedersen, J. (2004). Combating web spam with trustrank. In proceedings of the Thirtieth international conference on Very large data bases, 30, 576–587.
Search in Google Scholar Back to article
Leontief, W. (1941). The Structure of American Economy, 1919-1929. Cambridge: Harvard University Press.
Search in Google Scholar Back to article
Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. Europen Journal of Operational Research, 246(1), 1–19. doi:10.1016/j.ejor.2015.04.002.
Open DOI Search in Google Scholar Back to article
Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441–453. doi:10.1177/01655510276220 2123.
Open DOI Search in Google Scholar Back to article
Pinski, G., & Narin, F. (1976). Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing & Management, 12(5), 297–312. doi:10.1016/0306-4573(76)90048-0.
Open DOI Search in Google Scholar Back to article
Rousseau, R., Egghe, L., & Guns, R. (2018). Becoming Metric-Wise. Chandos Information Professional Series. Chandos Publishing. doi:10.1016/B978-0-08-102474-4.00010-8.
Open DOI Search in Google Scholar Back to article
Shen, Z., Chen, F., Yang, L., & Wu, J. (2019). Node2vec representation for clustering journals and as a possible measure of diversity. Journal of Data and Information Science, 4(2), 79–92. doi:10.2478/jdis-2019-0010.
Open DOI Search in Google Scholar Back to article
Shen, Z., Yang, L., Pei, J., Li, M., Wu, C., Bao, J., Wei, T., Di, Z., Rousseau, R., & Wu, J. (2016). Interrelations among scientific fields and their relative influences revealed by an input-output analysis. Journal of Informetrics, 10(1), 82–97. doi:10.1016/j.joi.2015.11.002.
Open DOI Search in Google Scholar Back to article
Waltman, L. (2016). A review of the literature on citation impact indicators. Journal of Informetrics, 10(2), 365–391. doi:10.1016/j.joi.2016.02.007.
Open DOI Search in Google Scholar Back to article
Waltman, L., & van Eck, N.J. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378–2392. doi:10.1002/asi.22748.
Open DOI Search in Google Scholar Back to article
West, J.D., Bergstrom, T.C., & Bergstrom, C.T. (2010). The Eigenfactor Metrics (TM): A network approach to assessing scholarly journals. College & Research Libraries, 71(3), 236–244. doi:10.5860/0710236.
Open DOI Search in Google Scholar Back to article
Zeng, A., Shen, Z., Zhou, J., Wu, J., Fan, Y., Wang, Y., & Stanley, H.E. (2017). The science of science: From the perspective of complex systems. Physics Reports – Review Section of Physics Letters, 714–715, 1–73. doi:10.1016/j.physrep.2017.10.001.
Open DOI Search in Google Scholar Back to article

Infrastructure of Scientometrics: The Big and Network Picture

Abstract

Paradigm

My account