4 research outputs found

    Peer and Authority Pressure in Information-Propagation Models ⋆

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    Abstract. Existingmodels ofinformation diffusion assume thatpeer influence is the main reason for the observed propagation patterns. In this paper, we examine the role of authority pressure on the observed information cascades. We model this intuition by characterizing some nodes in the network as “authority ” nodes. These are nodes that can influence large number of peers, while themselves cannot be influenced by peers. We propose a model that associates with every item two parameters that quantify the impact of the peer and the authority pressure on the item’s propagation. Given a network and the observed diffusion patterns of the item, we learn these parameters from the data and characterize the item as peer- or authority-propagated. We also develop a randomization test that evaluates the statistical significance of our findings and makes our item characterization robust to noise. Our experiments with real datafrom onlinemediaandscientific-collaboration networksindicate that there is a strong signal of authority pressure in these networks.

    Motor preparation

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