Linked: The new science of networks

By J. Pereira, S. si. 2002

2,083 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/904bc56f8a11f8c822e10d3445d6ec39b4dcaecf

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In Artificial Intelligence

Citations in the corpus

Boolean dynamics of networks with scale-free topology (2003, neutral): “E-mail address: maximino@control.uchicago.edu (M. Aldana). references see [1] [6]).”
Complex systems: Network thinking (2006, neutral): “The general science of networks is the subject of Albert-L¶azl¶o Barab¶asi’s Linked [2] and Duncan Watts’ Six Degrees [63].”
Tutorial on agent-based modeling and simulation (2005, background): “Recently, much progress has been made in understanding the growth and change of real-world networks (Barabási 2002).”
Network science: A Review Focused on Tourism (2010, neutral): “ each stakeholder and overall density of linkages), in order to obtain a higher clustering coefficient and a higher efficiency. The algorithm used is similar to the one proposed by Maslov and Sneppen (2002). The new network has a clustering coefficient C = 0.274 and a mean local efficiency Eloc = 0.”
Random Graphs and Complex Networks (2016, methodology): “As Barabási puts it [23] “.”
Gossip-based aggregation in large dynamic networks (2005, methodology): “The protocol was simulated on top of several different topologies, including random graphs, the complete graph, small-world networks like the Watts-Strogatz and Barab´ asi-Albert topologies, and a dynamic adaptive unstructured network: NEWSCAST.”
Weblogs, traditional sources online and political participation: an assessment of how the internet is changing the political environment (2009, background): “Will blog use follow a power law distribution (see Barabasi, 2002), according to which newcomers become part of an expanded public debate, but one which does not have the potential to continue to grow due to limited attention spans, among other things?”
Interorganizational Networks at the Network Level: A Review of the Empirical Literature on Whole Networks (2007, background): “Highly centralized networks may be organized in a manner approximating a hub-and-spoke pattern, recently popularized as “scale free” networks (Barabasi, 2002).”
Influentials, Networks, and Public Opinion Formation (2007, result): “Although our results do not exclude the possibility that influentials can be important, they suggest that the influentials hypothesis requires more careful specification and testing than it has received.”
Reliability engineering: Old problems and new challenges (2009, background): “In particular, an innovative and promising approach to the analysis of complex technological network systems and infrastructures comes from the findings of Complexity Science (Kauffman, 1993; Capra, 1996; Science, 1999; Bar-Yam, 1997; Barabasi, 2002).”