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“Structural Equivalence of Individuals in Social Networks”

The SAGE Encyclopedia of Research Design, 2022
The 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
semanticscholar   +1 more source

Game On: Social Networks and Markets

Social Science Research Network, 2021
I 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
semanticscholar   +1 more source

Efficient influence maximization in social networks

Knowledge Discovery and Data Mining, 2009
Influence 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
semanticscholar   +1 more source

Scalable influence maximization for prevalent viral marketing in large-scale social networks

Knowledge Discovery and Data Mining, 2010
Influence 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
semanticscholar   +1 more source

The Economic Effects of Social Networks: Evidence from the Housing Market

Journal of Political Economy, 2017
We 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
semanticscholar   +1 more source

User Identity Linkage across Online Social Networks: A Review

SKDD, 2017
The 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
semanticscholar   +1 more source

Friendship and mobility: user movement in location-based social networks

Knowledge Discovery and Data Mining, 2011
Eunjoon Cho, Seth A. Myers, J. Leskovec
semanticscholar   +1 more source

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