Supplementary material for the paper Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis - R. Molontay, M. Nagy (2021).
The aforementioned paper is an extension of a prior work of the same authors, titled Two Decades of Network Science - as seen through the co-authorship network of network scientists.
@incollection{molontay2021twenty,
title={Twenty {Y}ears of {N}etwork {S}cience: {A} {B}ibliographic and {C}o-{A}uthorship {N}etwork {A}nalysis},
author={Molontay, Roland and Nagy, Marcell},
booktitle={Big Data and Social Media Analytics},
pages={1--24},
year={2021},
publisher={Springer}
}
The data were collected from the Web of Science core collection. We downloaded information about the articles that cited at least one of the following papers:
- Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509-512.
- Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’networks. Nature, 393(6684), 440.
- Girvan, M., & Newman, M. E. (2002). Community structure in social and biological networks. Proceedings of the national academy of sciences, 99(12), 7821-7826.
The edgelist of the constructed network can be found in this folder.
The graphistry visualization of the largest connected component of the co-authorship network.
Two keywords are connected if they co-occur in at least one article. The weight of the edges are the frequency of the co-occurene of the endpoint keywords.
The interactive graphistry visualization of the keyword co-occurence network can be found here.
The density visualization of the co-occurence network of the keyword is shown in the figure below. Keywords that have co-occurred more frequently are placed closer to each other on the map. The font size indicates the number and strength of the connections of a keyword. A more intense color implies a larger number of keywords and higher connectivity in the neighborhood of the point. The figure was created with VOSviewer.
The following figure shows the co-occurence network of the more frequent keywords. The size of the node indicates the frequency of keywords in network science papers, the edge width indicates their relative co-occurrence. Only keywords with frequency at least 100 and edges with weight at least 10 are shown in the figure.
We divided the two decades into the following four periods: 1989-2005, 2006-2010, 2011-2015 and 2016-2020 (January). The following four figures show the word clouds of the keywords of the articles written in the four periods respectively.
