Growth and structure of Slovenia's scientific collaboration network
arXiv:1004.4824 · doi:10.1016/j.joi.2010.04.003
Abstract
We study the evolution of Slovenia's scientific collaboration network from 1960 till present with a yearly resolution. For each year the network was constructed from publication records of Slovene scientists, whereby two were connected if, up to the given year inclusive, they have coauthored at least one paper together. Starting with no more than 30 scientists with an average of 1.5 collaborators in the year 1960, the network to date consists of 7380 individuals that, on average, have 10.7 collaborators. We show that, in spite of the broad myriad of research fields covered, the networks form "small worlds" and that indeed the average path between any pair of scientists scales logarithmically with size after the largest component becomes large enough. Moreover, we show that the network growth is governed by near-liner preferential attachment, giving rise to a log-normal distribution of collaborators per author, and that the average starting year is roughly inversely proportional to the number of collaborators eventually acquired. Understandably, not all that became active early have till now gathered many collaborators. We also give results for the clustering coefficient and the diameter of the network over time, and compare our conclusions with those reported previously.
10 pages, 3 figures; accepted for publication in Journal of Informetrics [related work available at http://arxiv.org/abs/1003.1018 and http://www.matjazperc.com/sicris/stats.html]
References in corpus (12)
- Power-law distributions in empirical data
- Statistical physics of social dynamics
- Evolutionary games on graphs
- Critical phenomena in complex networks
- Adaptive Coevolutionary Networks: A Review
- Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions
- Preferential attachment in the growth of social networks: the case of Wikipedia
- Evolution of cooperation on scale-free networks subject to error and attack
- Zipf's law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia's research as an example
- Smoothing a Rock by Chipping
- Stratification in the Preferential Attachment Network
- Derivation of the percolation threshold for the network model of Barabasi and Albert
Cited by in corpus (7)
- The Matthew effect in empirical data
- Community structure and the evolution of interdisciplinarity in Slovenia's scientific collaboration network
- Predicting the future success of scientific publications through social network and semantic analysis
- Analysing Scientific Collaborations of New Zealand Institutions using Scopus Bibliometric Data
- Consensus ranking for multi-objective interventions in multiplex networks
- Quantifying the consistency of scientific databases
- Over-time measurement of triadic closure in coauthorship networks