1 research outputs found
The Evolutions of the Rich get Richer and the Fit get Richer Phenomena in Scholarly Networks: The Case of the Strategic Management Journal
Understanding how a scientist develops new scientific collaborations or how
their papers receive new citations is a major challenge in scientometrics. The
approach being proposed simultaneously examines the growth processes of the
co-authorship and citation networks by analyzing the evolutions of the rich get
richer and the fit get richer phenomena. In particular, the preferential
attachment function and author fitnesses, which govern the two phenomena, are
estimated non-parametrically in each network. The approach is applied to the
co-authorship and citation networks of the flagship journal of the strategic
management scientific community, namely the Strategic Management Journal. The
results suggest that the abovementioned phenomena have been consistently
governing both temporal networks. The average of the attachment exponents in
the co-authorship network is 0.30 while it is 0.29 in the citation network.
This suggests that the rich get richer phenomenon has been weak in both
networks. The right tails of the distributions of author fitness in both
networks are heavy, which imply that the intrinsic scientific quality of each
author has been playing a crucial role in getting new citations and new
co-authorships. Since the total competitiveness in each temporal network is
founded to be rising with time, it is getting harder to receive a new citation
or to develop a new collaboration. Analyzing the average competency, it was
found that on average, while the veterans tend to be more competent at
developing new collaborations, the newcomers are likely better at acquiring new
citations. Furthermore, the author fitness in both networks has been consistent
with the history of the strategic management scientific community. This
suggests that coupling node fitnesses throughout different networks might be a
promising new direction in analyzing simultaneously multiple networks.Comment: 25 Page