Social influence of hubs in information cascade processes

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Purpose - The purpose of this paper is to explore how hubs' social influence on social network decisions can cause the behavior of information cascades in a market. Design/methodology/approach - The authors establish understanding of the fundamental mechanism of information cascades through a computational simulation approach. Findings - Eigenvector centrality, betweenness centrality, and PageRank are statistically correlated with the occurrence of information cascades among agents; the hubs' incorrect decisions in the early diffusion stage can significantly cause misled shift cascades; and the bridge role of hubs is more influential than their pivotal position role in the process of misled shift cascades. Originality/value - This implication can be extendable in the field of marketing, sequential voting, and technology, or innovation adoption.
Publisher
EMERALD GROUP PUBLISHING LIMITED
Issue Date
2017
Language
English
Article Type
Article
Keywords

NETWORK CENTRALITY; FINANCIAL-MARKETS; DECISION-MAKING; PERFORMANCE; BEHAVIOR; SIMULATION; DYNAMICS; CONTEXT; POWER

Citation

MANAGEMENT DECISION, v.55, no.4, pp.730 - 744

ISSN
0025-1747
DOI
10.1108/MD-10-2016-0681
URI
http://hdl.handle.net/10203/224753
Appears in Collection
MG-Journal Papers(저널논문)
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