Open Access
Supporting Online Material for The Spread of Behavior in an Online Social Network Experiment
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TLDR
Individual adoption was much more likely when participants received social reinforcement from multiple neighbors in the social network, and the behavior spread farther and faster across clustered-lattice networks than across corresponding random networks.About:
The article was published on 2010-01-01 and is currently open access. It has received 1869 citations till now. The article focuses on the topics: Online participation & Social network.read more
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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.
Posted Content
Conducting Behavioral Research on Amazon's Mechanical Turk
TL;DR: In this article, the authors demonstrate how to use Mechanical Turk for conducting behavioral research and lower the barrier to entry for researchers who could benefit from this platform, and illustrate the mechanics of putting a task on Mechanical Turk including recruiting subjects, executing the task, and reviewing the work submitted.
Journal ArticleDOI
Data mining with big data
TL;DR: A HACE theorem is presented that characterizes the features of the Big Data revolution, and a Big Data processing model is proposed, from the data mining perspective, which involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations.
Journal ArticleDOI
A 61-million-person experiment in social influence and political mobilization
Robert M. Bond,Christopher J. Fariss,Jason J. Jones,Adam D. I. Kramer,Cameron Marlow,Jaime E. Settle,James H. Fowler +6 more
TL;DR: Results from a randomized controlled trial of political mobilization messages delivered to 61 million Facebook users during the 2010 US congressional elections show that the messages directly influenced political self-expression, information seeking and real-world voting behaviour of millions of people.
Proceedings ArticleDOI
The role of social networks in information diffusion
TL;DR: The authors examine the role of social networks in online information diffusion with a large-scale field experiment that randomizes exposure to signals about friends' information sharing among 253 million subjects in situ.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI
The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
Journal ArticleDOI
Birds of a Feather: Homophily in Social Networks
TL;DR: The homophily principle as mentioned in this paper states that similarity breeds connection, and that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics.
Journal ArticleDOI
Exploring complex networks
TL;DR: This work aims to understand how an enormous network of interacting dynamical systems — be they neurons, power stations or lasers — will behave collectively, given their individual dynamics and coupling architecture.
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