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Networks, Crowds, and Markets: Network Dynamics: Structural Models

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The article was published on 2010-01-01. It has received 1520 citations till now. The article focuses on the topics: Computational geometry & Crowds.

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Epidemic processes in complex networks

TL;DR: A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear.
Journal ArticleDOI

Consensus Problems on Networks With Antagonistic Interactions

TL;DR: The question asked in this paper is: is it possible to achieve a form of agreement also in presence of antagonistic interactions, modeled as negative weights on the communication graph?
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Discrete Signal Processing on Graphs

TL;DR: This paper extends to signals on graphs DSP and its basic tenets, including filters, convolution, z-transform, impulse response, spectral representation, Fourier transform, frequency response, and illustrates DSP on graphs by classifying blogs, linear predicting and compressing data from irregularly located weather stations, or predicting behavior of customers of a mobile service provider.
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Social contagion theory: examining dynamic social networks and human behavior

TL;DR: The regularities that led us to propose that human social networks may exhibit a ‘three degrees of influence’ property are described and the statistical approaches used to characterize interpersonal influence with respect to phenomena as diverse as obesity, smoking, cooperation, and happiness are reviewed.
Journal ArticleDOI

Leaders in social networks, the Delicious case.

TL;DR: It is shown that LeaderRank outperforms PageRank in terms of ranking effectiveness, as well as robustness against manipulations and noisy data, which suggest that leaders who are aware of their clout may reinforce the development of social networks, and thus the power of collective search.