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Disassortative mixing in online social networks [PDF]
EPL 86, 18003 (2009), 2009 The conventional wisdom is that social networks exhibit an assortative mixing pattern, whereas biological and technological networks show a disassortative mixing pattern. However, the recent research on the online social networks modifies the widespread belief, and many online social networks show a disassortative or neutral mixing feature. Especially,
arxiv +1 more source
Social preferences on networks [PDF]
Journal of Public EconomicsSocial preferences are a powerful determinant of human behavior. We study their behavioral implications within the context of a network game. A key feature of our game is the existence of multiple equilibria that widely differ in terms of their payoff distributions. Determining which equilibrium is most plausible is thus a key concern.
Sarah Rezaei +3 more
openaire +7 more sources
A comparative review on neuroethical issues in neuroscientific and neuroethical journals
Frontiers in Neuroscience, 2023 This study is a pilot literature review that compares the interest of neuroethicists and neuroscientists. It aims to determine whether there is a significant gap between the neuroethical issues addressed in philosophical neuroethics journals and ...
Shu Ishida +4 more
doaj +1 more source
Frontiers in Psychology, 2021 The context of Covid-19 has offered an unusual cultural landscape for examining how workers view their own position relative to others, and how individuals respond to prolonged exposure to workplace stress across different sectors and cultures.
Rachel C. Sumner, Elaine L. Kinsella
doaj +1 more source
Altruism in the (social) network
AIP Conference Proceedings, 2007 This paper explores the role of social integration on altruistic behavior. To this aim, we develop a two-stage experimental protocol based on the classic Dictator Game. In the first stage, we ask a group of 77 undergraduate students in Economics to elicit their social network; in the second stage, each of them has to unilaterally decide over the ...
Brañas-Garza, Pablo +4 more
openaire +3 more sources
How to network in online social networks [PDF]
2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014 In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs) by exploiting social relationships only. Our first contribution is to extend to OSNs the model of Kempe et al. [1] on the propagation of information in a social network and to show that a greedy algorithm is a good approximation of the optimal algorithm that is
Neglia, Giovanni +3 more
openaire +8 more sources
International Economic Review, 2018 AbstractThis article studies the transmission of rumors in social networks. We consider a model with biased and unbiased agents. Biased agents want to enforce a specific decision and unbiased agents to match the true state. One agent learns the true state and sends a message to her neighbors, who decide whether or not to transmit it further.
Bloch, Francis +2 more
openaire +8 more sources
Environmental Research Letters, 2023 Motivated by ongoing partisan division in support of climate change policy, this paper investigates whether, among self-identifying liberals and conservatives, the mere presence of a non-transformative climate policy such as carbon capture and storage ...
Thomas Marlow, Kinga Makovi
doaj +1 more source
Unveiling the Importance and Evolution of Design Components Through the “Tree of Blockchain”
Frontiers in Blockchain, 2021 This study covers the evolutionary development of blockchain technologies over the last 11 years (2009–2019) and sheds lights on potential areas of innovation in heretofore unexplored sub-components.
Florian Spychiger +3 more
doaj +1 more source
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data [PDF]
arXiv, 2023 The proliferation of social network data has unlocked unprecedented opportunities for extensive, data-driven exploration of human behavior. The structural intricacies of social networks offer insights into various computational social science issues, particularly concerning social influence and information diffusion.
arxiv