The Experts below are selected from a list of 521544 Experts worldwide ranked by ideXlab platform
Antoine Bonleu - One of the best experts on this subject based on the ideXlab platform.
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Procedural Formalism and Social Networks in the Housing Market
Annals of Economics and Statistics, 2019Co-Authors: Antoine BonleuAbstract:Why do some OECD countries have high levels of procedural formalism (PF) in the housing market? We provide an explanation based upon complementarities between the strength of Social Networks and the stringency of procedural formalism. The interest of Social Networks is that conflict resolution is independent from the law. When local agents belong to Social Networks whereas non-local agents do not, PF may facilitate housing search for locals at the expense of non-locals. To illustrate this mechanism we build a search-theoretic model of the housing market. The model emphasizes that the demand for PF occurs when the size of Social Networks is large. By simulations, we show that the support for PF increases with the size of Social Networks, the default probability on the rent and the proportion of non-local agents.
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Sun, Regulation and Local Social Networks
2017Co-Authors: Antoine BonleuAbstract:The aim of this paper is to explain over-regulation and local Social capital as barriers to immigration. The interest of Social Networks is that conflict resolution is independent of the law. Hence, if local individuals develop local Social capital and regulation, foreigners without Social Networks are disadvantaged and can less easily migrate. We develop a two-country search-theoretic model where we endogenize the choice of procedural formalism (PF) and the network size. This model features two different equilibria: a Mediterranean equilibrium with PF and dense local Social network and a Scandinavian and Anglo-Saxon equilibrium without PF and local Social Networks.
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Procedural Formalism and Social Networks in the Housing Market
2014Co-Authors: Antoine BonleuAbstract:Why do some OECD countries have high levels of procedural formalism (PF) in the housing market? We provide an explanation based upon complementarities between the strength of Social Networks and the stringency of procedural formalism. The interest of Social Networks is that conflict resolution is independent of the law. When local people belong to Social Networks whereas foreigners do not, PF may facilitate housing search for locals at the expense of foreigners. To illustrate this mechanism we build a search-theoretic model of the housing market. The model emphasizes that the support for PF increases with the size of Social Networks, the default probability on the rent, the proportion of foreigners, and market tightness.
Nicholas A Christakis - One of the best experts on this subject based on the ideXlab platform.
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Social Networks and Health
Ann Rev Sociol, 2008Co-Authors: Kirsten P. Smith, Nicholas A ChristakisAbstract:People are interconnected, and so their health is interconnected. In recognition of this Social fact, there has been growing conceptual and empirical attention over the past decade to the impact of Social Networks on health. This article reviews prominent findings from this literature. After drawing a distinction between Social network studies and Social support studies, we explore current research on dyadic and supradyadic network influences on health, highlighting findings from both egocentric and sociocentric analyses. We then discuss the policy implications of this body of work, as well as future research directions. We conclude that the existence of Social Networks means that people's health is interdependent and that health and health care can transcend the individual in ways that patients, doctors, policy makers, and researchers should care about.
Virgilio Gilart Iglesias - One of the best experts on this subject based on the ideXlab platform.
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Management of Social Networks in the educational process
Computers in Human Behavior, 2015Co-Authors: Higinio Mora, María Teresa Signes Pont, Gregorio De Miguel Casado, Virgilio Gilart IglesiasAbstract:Social Networks are complementary to educational websites to reach all aspects of learning.Disclosure through Social Networks is faster and wider than through educational websites.Community Manager in educational context is proved to be useful. The research developed in this work consists in proposing a set of techniques for management of Social Networks and their integration into the educational process. The proposals made are based on assumptions that have been proven with simple examples in a real scenario of university teaching.The results show that Social Networks have more capacity to spread information than educational web platforms. Moreover, educational Social Networks are developed in a context of freedom of expression intrinsically linked to Internet freedom. In that context, users can write opinions or comments which are not liked by the staff of schools. However, this feature can be exploited to enrich the educational process and improve the quality of their achievement.The network has covered needs and created new ones. So, the figure of the Community Manager is proposed as agent in educational context for monitoring network and aims to channel the opinions and to provide a rapid response to an academic problem.
Quan Z. Sheng - One of the best experts on this subject based on the ideXlab platform.
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A simulation method for Social Networks
Social Network Analysis and Mining, 2015Co-Authors: Rui Zeng, Quan Z. ShengAbstract:With the increasing popularity of Social Networks, it is becoming more and more crucial for the decision makers to analyze and understand the evolution of these Networks to identify for example, potential business opportunities. Unfortunately, understanding Social Networks, which are typically complex and dynamic, is not an easy task. In this paper, we propose an effective and practical approach for simulating Social Networks. We first develop a Social network model that considers growth and connection mechanisms (including addition and deletion) of Social Networks. We consider the nodes’ in-degree, inter-nodes’ close degree which indicates how close the nodes are in the Social network, which is limited by the in-degree threshold. We then develop a graph-based stratified random sampling algorithm for generating an initial network. To obtain the snapshots of a Social network of the past, current and the future, we further develop a close degree algorithm and a close degree of estimation algorithm. The degree distribution of our model follows a power-law distribution with a “fat-tail”. Experimental results using real-life Social Networks show the effectiveness of our proposed simulation method.
Isaac Tamblyn - One of the best experts on this subject based on the ideXlab platform.
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Hashkat: large-scale simulations of online Social Networks
Social Network Analysis and Mining, 2017Co-Authors: Kevin Ryczko, Adam Domurad, Nicholas Buhagiar, Isaac TamblynAbstract:Hashkat ( http://hashkat.org ) is a free, open source, agent-based simulation software package designed to simulate large-scale online Social Networks (e.g., Twitter, Facebook, LinkedIn). It allows for dynamic agent generation, edge creation, and information propagation. The purpose of hashkat is to study the growth of online Social Networks and how information flows within them. Like real-life online Social Networks, hashkat incorporates user relationships, information diffusion, and trending topics. Hashkat was implemented in C++ and was designed with extensibility in mind. The software includes Bash and Python scripts for easy installation and usability. In this report, we describe all of the algorithms and features integrated into hashkat before moving on to example use cases. In general, hashkat can be used to understand the underlying topology of Social Networks, validate sampling methods of such Networks, develop business strategy for advertising on online Social Networks, and test new features of an online Social network before going into production.
