Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth

By Jacob Goldenberg, Barak Libai, Eitan Muller. 2001

2,196 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/f64459756fa19cbe258ad8ea73e20caa659e1c1c

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In Management Science and Operations Research

In Statistical and Nonlinear Physics

Citations in the corpus

Measuring the Impacts of Online Word-of-Mouth on Tourists' Attitude and Intentions to Visit Jordan: An Empirical Study (2013, methodology): “This agrees also by Goldenberg et al. (2001) emphasized that WOM from other consumers has a strong influence on consumer decision-making processes.”
Information diffusion in online social networks: a survey (2013, methodology): “There are two seminal models in this category, namely Independent Cascades (IC ) [13] and Linear”
Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks (2011, positive): “Many campaigns target “influential” individuals who are likely to propagate organic WOM most broadly (Katz and Lazersfeld 1955, Watts and Dodds 2007, Goldenberg et al. 2009), using referral programs to create incentives for them to spread the word (Biyalogorsky et al. 2001).”
Searching for superspreaders of information in real-world social media (2014, background): “Moreover, observational studies tracking actual diffusion processes suggest that prediction relying on models does not work well in practice [41–45].”
Patterns of Influence in a Recommendation Network (2006, background): “Information cascades are phenomena in which an action or idea becomes widely adopted due to influence by others [3, 5, 6].”
Optimizing Ad Allocation in Social Advertising (2015, methodology): “We say that f is submodular if it satisﬁes a natural “diminishing returns” property: the marginal gain from adding an element to a set S is at least as high as the marginal gain from adding the same element to a superset of S .”
Information diffusion through blogspace (2004, methodology): “[14] and generalized to the General Cascade Predicate Algorithm Region”
A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks (2011, background): “They are the linear threshold model [24], [45] and the independent cascade model [21].”