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The Social Network Analysis perspective has proven the ability to develop a significant breadth of theoretical and methodological issues witnessed by the contribution of an increasing number of scholars and the multiplication of empirical applications in a wide range of scientific fields. One of the disciplinary areas in which this development has occurred, among others, is certainly that of computational social science, by virtue of the developing field of online social networks and the leading role of information technologies in the production of scientific knowledge. The complex nature of social phenomena enforced the usefulness of the network perspective as a wealth of theoretical and methodological tools capable of penetrating within the dimensions of that complexity. The book hosts eleven contributions that within a sound theoretical ground, present different examples of speculative and applicative areas where the Social Network Analysis can contribute to explore, interpret and predict social interaction between actors. Some of the contributions were presented at the ARS’19 Conference held in Vietri sul Mare (Salerno, Italy) in October, 29-31 2019; it was the seventh of a biennial meetings series started in 2007 with the aim to promote relevant results and the most recent methodological developments in Social Network Analysis.

Social networking --- Network Analysis, social networks, computational social science, social interaction, information technologies --- Network Analysis, social networks, computational social science, social interaction, information technologies

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The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component —aided by the recent data deluge from the Web 2.0 and 3.0—, closing in this way the experiment-theory cycle in the best tradition of Physics.

simulation --- Social Data Science --- mathematical modeling --- Agent-based modeling --- Data Mining --- big data --- computational social science

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The Social Network Analysis perspective has proven the ability to develop a significant breadth of theoretical and methodological issues witnessed by the contribution of an increasing number of scholars and the multiplication of empirical applications in a wide range of scientific fields. One of the disciplinary areas in which this development has occurred, among others, is certainly that of computational social science, by virtue of the developing field of online social networks and the leading role of information technologies in the production of scientific knowledge. The complex nature of social phenomena enforced the usefulness of the network perspective as a wealth of theoretical and methodological tools capable of penetrating within the dimensions of that complexity. The book hosts eleven contributions that within a sound theoretical ground, present different examples of speculative and applicative areas where the Social Network Analysis can contribute to explore, interpret and predict social interaction between actors. Some of the contributions were presented at the ARS’19 Conference held in Vietri sul Mare (Salerno, Italy) in October, 29-31 2019; it was the seventh of a biennial meetings series started in 2007 with the aim to promote relevant results and the most recent methodological developments in Social Network Analysis.

Network Analysis, social networks, computational social science, social interaction, information technologies

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This open access book analyses the global diffusion of social policy as a process driven by multiplex ties between countries in global social networks. The contributions analyze links between countries via global trade, colonial history, similarity in culture, and spatial proximity. Networks are viewed as the structural backbone of the diffusion process, and diffusion is anlaysed via several subfields of social policy, in order to interrogate which network dimensions drive this process. The focus is on a global perspective of social policy diffusion via networks, and it is the first book to explicitly follow this macro-quantitative perspective on diffusion at a global scale whilst also comparing different networks. The collection tests the network structures in terms of their relevance to the diffusion process in different subfields of social policy such as old age and survivor pensions, labor and labor markets, health and long-term care, education and training, and family and gender policy. The book will therefore be invaluable to students and researchers of global social policy, sociology, political science, international relations, organization theory and economics.

Central government policies --- Public administration --- Social & political philosophy --- Open Access --- globalisation --- history of social policy --- modern welfare state --- social networks --- Computational Social Science

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Social Media and Social Order combines a structural analysis of the global impact of social media as contributing to the production of a datafied social order with a series of actor-focused analyses, each examining how roles structured by social media are performed at various sites: enmeshed in European cities, entangled in contested Middle Eastern borders, and embedded in provincial Indian small-town networks. The final section then arcs back to a focus on the general properties of social media networks revealed through two American cases, emphasizing the human costs for the recipients of abuse (legislators of color) and the political costs of participatory propaganda for a deliberative understanding of democracy. A central theme is how the principle of differential treatment embedded in the datafied social order is becoming increasingly widespread across social fields. The book demonstrates how social media are implicated in reshaping social order in ways which align with this principle, including creating new precarious hierarchies of esteem, reinforcing existing social, class and religious hierarchies, opening political discussion to more participants but at the cost of reinforcing local hierarchies and dominant discourses, underlining gendered constructions of national identity, amplifying the abuse received by women and people of color in leadership positions and enmeshing users in the circulation of propaganda which resonates with their preconceptions, thus deepening societal polarization.

SOCIAL SCIENCE / Media Studies. --- computational social science. --- digital media. --- influence. --- inter-group relations. --- mass communication. --- populism. --- propaganda. --- public interest. --- social construction. --- social interaction. --- social media. --- social network analysis, social networks. --- social order. --- technology.