Information and Influence Propagation in Social Networks

By Wei Chen, Laks V. S. Lakshmanan, Carlos Castillo. Synthesis Lectures on Data Management, 2013

433 citations recorded by the source corpus.

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Scalable diffusion-aware optimization of network topology (2014, background): “The node deletion problem can be considered a special case of the “influence blocking maximization” problem described in [3, 9].”
Processing Social Media Messages in Mass Emergency (2014, background): “Endogenous causes refer to phenomena in which an idea or “meme” gains popularity by a process of viral contagion or information cascade, in which content spreads rapidly through a network, potentially reaching a significant fraction of all the users [Chen et al. 2013].”
Influence Maximization on Social Graphs: A Survey (2018, methodology): “Although there are existing surveys [1], [10], [11], [12], [13], [14] on social inﬂuence analysis, this survey is distinct in the following aspects.”
A Survey of Signed Network Mining in Social Media (2015, methodology): “Mixture-model-based algorithms generate the division of the network into communities based on generative graphical models [Chen et al. 2013].”
Vital nodes identification in complex networks (2016, background): “The readers are encouraged to read the book [20] for more examples.”