Coauthorship networks and patterns of scientific collaboration

By Mark Newman. Proceedings of the National Academy of Sciences of the United States of America, 2004

1,984 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/8bf79085718703f65dc7031fe8f90e69640f8a1a

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In Computer Networks and Communications

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Citations in the corpus

Discrete Signal Processing on Graphs: Frequency Analysis (2013, background): “Signals indexed by graphs arise in many applications, including the analysis of preferences and opinions in social and economic networks [1], [2], [3]; research in collaborative activities, such as paper co-authorship and citations [4]; topics and relevance of documents in the World Wide Web [5], [6”
Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks (2011, background): “…(Bordons & Gómez, 2000; Glänzel, 2002; Glänzel & Schubert, 2004); social network analysis/network science (Barabási et al., 2002; Kretschmer, 1997; Newman, 2001c, 2004a; Wagner, 2008; Wagner & Leydesdorff, 2005); qualitative methods of observation and interviews (Hara et al., 2003; Shrum et al.,…”
Mining communities and their relationships in blogs: A study of online hate groups (2007, methodology): “A few alternative methods such as the modularity-based algorithm (Newman, 2004b) and the edge clustering coefficient based algorithm (Radicchi et al., 2004) have improved the efficiency of the G–”
Economics: An Emerging Small World (2004, background): “Two persons belong to the same component if and only… p g p 1j ,jn if there exists a path between them.”
Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks (2011, methodology): “Network analysis uses mathematical models and graph theory to analyze large-scale graphs, mainly on the topological features, such as largest component, centrality, distance, diameter, and cluster coefficient (Grossman, 2002; Barabasi, 2002; Newman, 2004; and Milojevic, 2010).”
Defining and identifying Sleeping Beauties in science (2015, background): “Seminal studies focused on scientific collaboration networks (2), evolution of disciplines (3), team science (4–7), and citationbased scientific impact (8–10).”
Resilience: Accounting for the Noncomputable (2009, background): “The multiple filters required to establish scientific credibility and leadership create a hierarchy in which increasing dominance is exerted by nodes in which influence and citations concentrate (Newman 2004).”
Automated Network Analysis Identifies Core Pathways in Glioblastoma (2010, background): “This community structure or network modularity has been identified in diverse network systems, including social [18,19], scientific collaboration [20], metabolic [21], and molecular interaction networks [22–24].”
Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal (2017, background): “…their research expertise to identify the most related ones for a new Industry 4.0 academic research, and construct scientific collaboration partnership proposals; (2) The further analysis of their co-authorship network (Newman 2004) from the contributor level, institution level, and country level.”