Results 301 to 310 of about 15,435,726 (351)
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“Structural Equivalence of Individuals in Social Networks”
The SAGE Encyclopedia of Research Design, 2022The aim of this paper is to understand the interrelations among relations within concrete social groups. Social structure is sought, not ideal types, although the latter are relevant to interrelations among relations.
François Lorrain, H. White
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Game On: Social Networks and Markets
Social Science Research Network, 2021I present closed-form solutions for prices, portfolios, and beliefs in a model where four types of investors trade assets over time: naive investors who learn via a social network, ``fanatics'' possibly spreading fake news, rational short-term investors,
L. Pedersen
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Efficient influence maximization in social networks
Knowledge Discovery and Data Mining, 2009Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the efficient influence maximization from two complementary directions.
Wei Chen, Yajun Wang, Siyu Yang
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Scalable influence maximization for prevalent viral marketing in large-scale social networks
Knowledge Discovery and Data Mining, 2010Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influence under certain influence cascade models.
Wei Chen, Chi Wang, Yajun Wang
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The Economic Effects of Social Networks: Evidence from the Housing Market
Journal of Political Economy, 2017We show how data from online social networking services can help researchers better understand the effects of social interactions on economic decision making.
Michael C. Bailey +3 more
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User Identity Linkage across Online Social Networks: A Review
SKDD, 2017The increasing popularity and diversity of social media sites has encouraged more and more people to participate on multiple online social networks to enjoy their services.
Kai Shu +4 more
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Friendship and mobility: user movement in location-based social networks
Knowledge Discovery and Data Mining, 2011Eunjoon Cho, Seth A. Myers, J. Leskovec
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