Networks, Crowds, and Markets: Reasoning about a Highly Connected World (Easley, D. and Kleinberg, J.; 2010) [Book Review]

By Hongsong Chen. 2013

1,075 citations recorded by the source corpus.

Subfields: Management Information Systems, Statistical and Nonlinear Physics, Strategy and Management

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Citations in the corpus

Scalable Influence Estimation in Continuous-Time Diffusion Networks (2013, background): “5]), typically used in physics and graph theory [22] and (iii) hierarchical networks ([0.”
Can Large Language Models Transform Computational Social Science? (2023, background): “Game theorists have used rule-based utility functions to develop hypotheses about the causes of social phenomena (Schelling, 1971; Easley and Kleinberg, 2010)”
Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach (2014, background): “The evolutionary game extends the formulation of non-cooperative game by introducing the concept of population, which refers to a set of players [29].”
Do High-Choice Media Environments Facilitate News Avoidance? A Longitudinal Study 1997–2016 (2020, background): “First, the power law distribution of attention in the digital news landscape entails that some sites and content will get the main bulk of the attention, while the majority remain invisible (Easley & Kleinberg, 2010).”
Resilient Asymptotic Consensus in Robust Networks (2013, background): “When we do not need to explicitly distinguish between Byzantine and malicious threats, we simply say those nodes are misbehaving.”
Social Recommendation with Strong and Weak Ties (2016, background): “Perhaps surprisingly, many of those personal contacts are acquaintances (weak ties) as opposed to close friends (strong ties) [18,22].”
Computing global structural balance in large-scale signed social networks (2011, background): “In social ne twork theory [9, 10, 11], however, the content of the relationships is oft en even more important than their topology, and this calls for the develo pment of novel analytical and computational tools, able to extrapol te contentrelated features out of the set of interactions of a social ”
A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research (2020, methodology): “Network analysis is a collection of system analytics techniques that have been developed and widely used in social sciences, physical/natural sciences, and engineering (Barabási, 2003, 2016; Easley & Kleinberg, 2010; Sayama, 2015; T a b le 2 .”
Adaptation, Learning, and Optimization over Networks (2014, background): “They are also well-suited to model several forms of complex behavior exhibited by biological [16, 50, 131, 147] and social networks [15, 77, 92, 121, 230] such as fish schooling [188], prey-predator maneuvers [105, 171], bird formations [110, 119], bee swarming [12, 22, 125, 220], bacteria motility ”
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces (2014, background): “The concept of equilibrium plays a key role in understanding not only the Internet, but also other networked systems, such as human migration [116], evolutionary dynamics and the spread of infectious diseases [117], and social networks [118].”