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The Diffusion of Microfinance

TLDR
This article examined how participation in a micro-finance program diffuses through social networks and found that participants are significantly more likely to pass information on to friends and acquaintances than informed non-participants.
Abstract
We examine how participation in a microfinance program diffuses through social networks. We collected detailed demographic and social network data in 43 villages in South India before microfinance was introduced in those villages and then tracked eventual participation. We exploit exogenous variation in the importance (in a network sense) of the people who were first informed about the program, "the injection points". Microfinance participation is higher when the injection points have higher eigenvector centrality. We estimate structural models of diffusion that allow us to (i) determine the relative roles of basic information transmission versus other forms of peer influence, and (ii) distinguish information passing by participants and non-participants. We find that participants are significantly more likely to pass information on to friends and acquaintances than informed non-participants, but that information passing by non-participants is still substantial and significant, accounting for roughly a third of informedness and participation. We also find that, conditioned on being informed, an individual's decision is not significantly affected by the participation of her acquaintances.

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Citations
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The H-index of a network node and its relation to degree and coreness

TL;DR: A family of H-indices are obtained that can be used to measure a node's importance and it is proved that the convergence to coreness can be guaranteed even under an asynchronous updating process, allowing a decentralized local method of calculating a nodes' coreness in large-scale evolving networks.
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Changing climates of conflict: A social network experiment in 56 schools

TL;DR: It is shown that it is possible to reduce conflict with a student-driven intervention, and the power of peer influence for changing climates of conflict is demonstrated, and which students to involve in those efforts is suggested.
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Propaganda and Conflict: Evidence from the Rwandan Genocide

TL;DR: In this paper, the authors investigated the role of mass media in times of conflict and state-sponsored mass violence against civilians and found that the broadcasts had a significant effect on participation in killings by both militia groups and ordinary civilians.
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Games on Networks

TL;DR: In this paper, the authors provide an overview and synthesis of the literatures analyzing games in which players are connected via a network structure, and discuss the impact of the structure of the network on individuals' behaviors.
References
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Group lending, local information and peer selection

TL;DR: The authors analyzes how group lending programs use joint liability to utilize local information that borrowers have about each other's projects through self-selection of group members in the group formation stage, which leads to positive assortative matching in group formation.
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Accelerating the Diffusion of Innovations Using Opinion Leaders

TL;DR: In this paper, a method to accelerate the diffusion of innova- tions using opinion leaders is presented. But the authors focus on interpersonal communica- tion networks and do not consider how to collect information on interpersonal communication networks.
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Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks

TL;DR: Although active-personalized viral messages are more effective in encouraging adoption per message and are correlated with more user engagement and sustained product use, passive-broadcast messaging is used more often, generating more total peer adoption in the network.
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How Homophily Affects the Speed of Learning and Best-Response Dynamics

TL;DR: In this article, the authors examine how the speed of learning and best-response processes depend on homophily: the tendency of agents to associate disproportionately with those having similar traits.