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相关论文: Co-Authorship Networks in the Digital Library Rese…

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A co-authorship network of scientists at a university is an archetypical example of a complex evolving network. Collaborative R&D networks are self-organized products of partner choice between scientists. Modern science is, due to the…

物理与社会 · 物理学 2009-09-30 Uwe Obermeier , Michael J. Barber , Andreas Krueger , Hannes Brauckmann

With the increasing size of digital libraries it has become a challenge to identify author names correctly. The situation becomes more critical when different persons share the same name (homonym problem) or when the names of authors are…

数字图书馆 · 计算机科学 2016-06-14 Fakhri Momeni , Philipp Mayr

Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro-level network properties, with the aim to apply centrality measures to impact…

数字图书馆 · 计算机科学 2010-12-23 Erjia Yan , Ying Ding

Using data from co-authorships at the international level in all fields of science in 1990 and 2000, and within six case studies at the sub-field level in 2000, different explanations for the growth of international collaboration in science…

物理与社会 · 物理学 2009-11-24 Caroline S. Wagner , Loet Leydesdorff

In many scientific fields, the order of coauthors on a paper conveys information about each individual's contribution to a piece of joint work. We argue that in prior network analyses of coauthorship networks, the information on ordering…

数字图书馆 · 计算机科学 2015-03-31 Jinseok Kim , Jana Diesner

Google Scholar is one of the top search engines to access research articles across multiple disciplines for scholarly literature. Google scholar advance search option gives the privilege to extract articles based on phrases, publishers…

数字图书馆 · 计算机科学 2025-09-12 Shrabani Ghosh

Research collaborations, especially long-distance and cross-border collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing…

数字图书馆 · 计算机科学 2020-04-16 Chaocheng He , Jiang Wu , Qingpeng Zhang

Predicting the emergence of future research collaborations between authors in academic social networks (SNs) is a very effective example that demonstrates the link prediction problem. This problem refers to predicting the potential…

社会与信息网络 · 计算机科学 2025-09-23 Doaa Hassan , Mohammad Al Hasan

Co-authorship networks have been extensively studied in network science as they pose as a perfect example of how single elements of a system give rise to collective phenomena on an intricate, non-trivial structure of interactions. However,…

物理与社会 · 物理学 2020-05-29 Demival Vasques Filho , Dion R. J. O'Neale

How does the collaboration network of researchers coalesce around a scientific topic? What sort of social restructuring occurs as a new field develops? Previous empirical explorations of these questions have examined the evolution of…

社会与信息网络 · 计算机科学 2018-01-16 Daniel T. Citron , Samuel F. Way

This paper examines the proximity of authors to those they cite using degrees of separation in a co-author network, essentially using collaboration networks to expand on the notion of self-citations. While the proportion of direct…

物理与社会 · 物理学 2015-05-28 Matthew L. Wallace , Vincent Larivière , Yves Gingras

Collaboration networks arise when we map the connections between scientists which are formed through joint publications. These networks thus display the social structure of academia, and also allow conclusions about the structure of…

社会与信息网络 · 计算机科学 2016-11-18 Christian Staudt , Andrea Schumm , Henning Meyerhenke , Robert Görke , Dorothea Wagner

Studies of bibliographic data suggest a strong correlation between the growth of citation networks and their corresponding co-authorship networks. We explore the interdependence between evolving citation and co-authorship networks focused…

物理与社会 · 物理学 2021-07-07 Chakresh Kr. Singh , Demival Vasques Filho , Shivakumar Jolad , Dion R. J. O'Neale

Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barab\'asi & Albert and Girvan & Newman published their highly-cited seminal papers on small-world networks, on scale-free…

社会与信息网络 · 计算机科学 2020-01-13 Roland Molontay , Marcell Nagy

In this paper, we study empirically co-authorship networks of neighbouring scientific disciplines, and describe the system by two coupled networks. By considering a large time window, we focus on the properties of the interface between the…

物理与社会 · 物理学 2014-10-03 R. Lambiotte , M. Ausloos

Co-authorship graphs (that is, the graph of authors linked by co-authorship of papers) are complex networks, which expresses the dynamics of a complex system. Only recently its study has started to draw interest from the EC community, the…

计算机与社会 · 计算机科学 2007-08-16 Juan J. Merelo , Carlos Cotta

This paper introduces a suite of approaches and measures to study the impact of co-authorship teams based on the number of publications and their citations on a local and global scale. In particular, we present a novel weighted graph…

其他凝聚态物理 · 物理学 2007-05-23 Katy Börner , Luca Dall'Asta , Weimao Ke , Alessandro Vespignani

Co-authorship in publications within a discipline uncovers interesting properties of the analysed field. We represent collaboration in academic papers of computer science in terms of differently grained networks, including those…

社会与信息网络 · 计算机科学 2015-03-17 Massimo Franceschet

In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the…

数字图书馆 · 计算机科学 2011-03-11 Manh Cuong Pham , Ralf Klamma , Matthias Jarke

Online Social Networks usually provide no or limited way to access scholarly information provided by Digital Libraries (DLs) in order to share and discuss scholarly content with other online community members. The paper addresses the…

数字图书馆 · 计算机科学 2012-05-14 Peter Mutschke , Mark Thamm
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