- Table View
- List View
Social Accounting for Industrial and Transition Economies (Routledge Revivals)
by Solomon CohenThis title was first published in 2002: Showing how the social accounting matrix provides a comprehensive framework for the analysis and tabulation of national statistics and how it can assist in developing economic policy, this work also demonstrates the key aspects of this approach in dealing with a wide range of economic and social issues. The reference, and the accompanying volume, "Social Accounting and Economic Modelling for Developing Countries" should be useful for researchers, instructors, policy makers and scholars.
Social and Economic Networks
by Matthew O. JacksonNetworks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.
Social and Economic Networks in Cooperative Game Theory (Theory and Decision Library C #27)
by Marco Slikker Anne van den NouwelandSocial and Economic Networks in Cooperative Game Theory presents a coherent overview of theoretical literature that studies the influence and formation of networks in social and economic situations in which the relations between participants who are not included in a particular participant's network are not of consequence to this participant. The material is organized in two parts. In Part I the authors concentrate on the question how network structures affect economic outcomes. Part II of the book presents the formation of networks by agents who engage in a network-formation process to be able to realize the possible gains from cooperation.
Social and Economic Stimulating Development Strategies for China’s Ethnic Minority Areas
by Yanzhong Wang Sai DingThis book gathers the outcomes of various, extensive research efforts on building a moderately prosperous society in minority areas, which would allow China’s poor and poverty-stricken areas to comprehensively join the rest of society. Offering an essential reference guide, the book will help readers understand the process, achievements, problems, and future development with regard to building a moderately prosperous society in the new era.
Social and Political Dimensions of Mathematics Education: Current Thinking (ICME-13 Topical Surveys)
by Murad Jurdak Renuka Vithal Elizabeth de Freitas Peter Gates David KolloscheThis book examines the current thinking on five critical social and political areas in mathematics education. It focuses on material conditions in teaching and learning, and details features of social life and their influence on mathematics teaching, learning and achievement. Following an introduction, the first section addresses equitable access and participation in quality mathematics education. It explores this issue in different contexts and from different ideological perspectives. The second section traces the emergence and development of the notion of activism in mathematics education in theory, in the literature, in research and in practice. The third section then moves on to explore current research on the political forces at work in identity, subjectivity and (dis)ability within mathematics education, showing how emphasis on language and discourse provides information for this research, and how new directions are being pursued to address the diverse material conditions that shape learning experiences in mathematics education. Economic factors behind mathematics achievement form the topic of section four, which examines the political dimensions of mathematics education through the influence of national and global economic structures. The final section addresses distribution of power and cultural regimes of truth, based on the premise that although often deemed apolitical, mathematics and mathematics education are highly political institutions in our society. The book concludes with a summary and recommendations for the future.
Social Background and the Demographic Life Course: Cross-National Comparisons
by Aart C. Liefbroer Mioara Zoutewelle-TerovanThis open access book examines how childhood social disadvantage influences young-adult demographic decision-making and later-life economic and well-being outcomes. This book in particular focuses on testing whether the consequences of childhood social disadvantage for adult outcomes differ across societies, and whether these differences are shaped by the “context of opportunities” that societies offer to diminish the adverse impact of economic and social deprivation. The book integrates a longitudinal approach and provides new insights in how the experience of childhood disadvantage (e.g. low parental socio-economic status, family disruption) influences demographic decisions in adulthood (e.g. the timing of family-events such as cohabitation, marriage or parenthood; the risk of divorce or having a child outside a partner relationship; the exposure to later-life loneliness, poor health, and economic adversity). Moreover, using a cross-national comparative perspective it investigates whether the relationships of interest differ across nations, and tests the “context of opportunities” hypothesis arguing that the links between childhood disadvantage and adult outcomes are weakened in societal contexts offering good opportunities for people to escape situations of deprivation. To do so, the book analyzes national contexts based on economic prosperity, family values and norms, and welfare-state arrangements.
Social Capital and Risk Sharing: An Islamic Finance Paradigm (Palgrave Studies in Islamic Banking, Finance, and Economics)
by Abbas Mirakhor Adam Ng Mansor H. IbrahimThis exciting new addition to Palgrave Studies in Islamic Banking, Finance, and Economics argues that social capital can facilitate rule-compliance and co-operation in the sharing of risk in financial and economic activities.
Social Capital and Subjective Well-Being: Insights from Cross-Cultural Studies (Societies and Political Orders in Transition)
by Anna Almakaeva Alejandro Moreno Rima WilkesThis book presents a cross-cultural investigation into the interplay between social capital and subjective well-being. Based on a quantitative analysis of the latest large-N cross-cultural data sets, including the World Value Survey and the European Social Survey, and covering various countries, it offers a comparative perspective on and new insights into the determinants of social capital and well-being. By identifying both universal and culture-specific patterns, the authors shed new light on the spatial and temporal differentiation of social capital and subjective well-being. The book is divided into two main parts: The first discusses mutual trust, religious and cultural tolerance, and pro-social and human values as essential dimensions of social capital. In turn, the second part studies social capital as a source of subjective well-being and life satisfaction. Given its scope, the book will appeal to scholars of sociology, social psychology, political science and economics seeking a deeper understanding of the multi-faceted nature of social capital and well-being.
Social Choice Mechanisms (Studies in Economic Design)
by Vladimir I. Danilov Alexander I. SotskovThe theory of social choice deals with both the processes and results of col lective decision making. In this book, we explore some issues in the theory of social choice and mechanism design. We examine the premises of this theory, the axiomatic approach, and the mechanism design approach. The main questions are what is collective interest, how is it related to individuals' interests, how should one design social interactions, laws, and in stitutions? These questions are not new. Philosophers, social scientists have indeed pondered upon them for years. And, in fact, the organizational struc tures of many social institutions -courts, parliaments, committees and reg ulatory boards -often lack a sound theoretical base. This is not surprising, as it is, indeed, difficult to provide for a comprehensive formalization of the activities of such organizations. Nevertheless, there has been a definite trend towards providing clear and unambiguous rules for collective decision mak ing. These very rules constitute the body of social choice theory and its main object. The basic problem of social choice We explain here more precisely what a problem of social choice is, what approaches might be used to tackle it, and what kind of solutions it leads to. We introduce a few basic notions in preliminarily fashion and, in doing so, we stress both motivations and explanations.
Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society (Computational Social Sciences)
by Daniele Miorandi Vincenzo Maltese Michael Rovatsos Anton Nijholt James StewartThe book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT.Social Collective Intelligence opens a number of challenges for researchers in both computer science and social sciences; at the same time it provides an innovative approach to solve challenges in diverse application domains, ranging from health to education and organization of work.The book will provide a cohesive and holistic treatment of Social Collective Intelligence, including challenges emerging in various disciplines (computer science, sociology, ethics) and opportunities for innovating in various application areas.By going through the book the reader will gauge insight and knowledge into the challenges and opportunities provided by this new, exciting, field of investigation. Benefits for scientists will be in terms of accessing a comprehensive treatment of the open research challenges in a multidisciplinary perspective. Benefits for practitioners and applied researchers will be in terms of access to novel approaches to tackle relevant problems in their field. Benefits for policy-makers and public bodies representatives will be in terms of understanding how technological advances can support them in supporting the progress of society and economy.
Social Computing and Behavioral Modeling
by Huan Liu John Salerno Michael J. YoungSocial computing is concerned with the study of social behavior and social c- text based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting, scenario planning, and deep understa- ing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment of various - cial activities. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and inter- pendent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nati- states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines, social computing, and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodo- gies in terms of social, physical, psychological, and governmental mechanisms. The goal is to enable us to experiment, create, and recreate an operational environment with a better understanding of the contributions from each individual discipline, forging joint interdisciplinary efforts. This is the second international workshop on Social Computing, Behavioral ModelingandPrediction. The submissions were from Asia, Australia, Europe, and America. Since SBP09 is a single-track workshop, we could not accept all the good submissions. The accepted papers cover a wide range of interesting topics.
Social Computing and Social Media: 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I (Lecture Notes in Computer Science #13315)
by Gabriele MeiselwitzThis two-volume set LNCS 13315 and 13316 constitutes the refereed proceedings of the 14th International Conference on Social Computing and Social Media, SCSM 2022, held as part of the 24rd International Conference, HCI International 2022, which took place in June-July 2022. Due to COVID-19 pandemic the conference was held virtually.The total of 1276 papers and 275 posters included in the 40 HCII 2022 proceedings volumes was carefully reviewed and selected from 5583 submissions. The papers of SCSM 2022, Part I, are organized in topical sections named: design and user experience in social media and social live streaming; text analysis and AI in social media; social media impact on society and business.
Social Computing and Social Media. Technologies and Analytics: 10th International Conference, SCSM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II (Lecture Notes in Computer Science #10914)
by Gabriele MeiselwitzThe two volumes set LNCS 10913-10914 of SCSM 2018 constitutes the proceedings of the 10th International Conference on Social Computing and Social Media, SCSM 2018, held as part of the International Conference on Human-Computer Interaction, HCII 2018, held in Las Vegas, NV, USA, in July 2018. The total of 1171 papers and 160 posters presented at the 14 colocated HCII 2018 conferences. The papers were carefully reviewed and selected from 4346 submissions. These papers which are organized in the following topical sections: social media user experience, individual and social behavior in Social Media, privavcy and ethical issues in Social Media, motivation and gamification in Social Media, social network analysis, and agents, models and algorithms in Social Media.
Social Computing and Social Media. User Experience and Behavior: 10th International Conference, SCSM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I (Lecture Notes in Computer Science #10913)
by Gabriele MeiselwitzThe two volumes set LNCS 10913-10914 of SCSM 2018 constitutes the proceedings of the 10th International Conference on Social Computing and Social Media, SCSM 2018, held as part of the International Conference on Human-Computer Interaction, HCII 2018, held in Las Vegas, NV, USA, in July 2018. The total of 1171 papers and 160 posters presented at the 14 colocated HCII 2018 conferences. The papers were carefully reviewed and selected from 4346 submissions. These papers which are organized in the following topical sections: social media user experience, individual and social behavior in Social Media, privavcy and ethical issues in Social Media, motivation and gamification in Social Media, social network analysis, and agents, models and algorithms in Social Media.
Social Computing, Behavioral Modeling, and Prediction
by Huan Liu Michael J. Young John SalernoSocial computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.
Social, Cultural, and Behavioral Modeling: 10th International Conference, SBP-BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Proceedings (Lecture Notes in Computer Science #10354)
by Dongwon Lee, Yu-Ru Lin, Nathaniel Osgood and Robert ThomsonThis book constitutes the refereed proceedings of the 10th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2017, held in Washington, DC, USA, in July 2017.The 16 full papers and 27 short papers presented were carefully reviewed and selected from 79 submissions. Owing to its strong multi-disciplinary heritage, the papers represent a large range of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science and use numerous types of computational methods such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. They are organized in the following topical sections: behavioral and social sciences; cyber and intelligence applications; information, systems, and network sciences; and methodology.
Social, Cultural, and Behavioral Modeling: 9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings (Lecture Notes in Computer Science #9708)
by Kevin S. Xu, David Reitter, Dongwon Lee and Nathaniel OsgoodThis book constitutes the refereed proceedings of the 9th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2016, held in Washington, DC, USA, in June/July 2016. The 38 full papers presented were carefully reviewed and selected from 78 submissions. The goal of this conference was to build a new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government and military communities interested in understanding, forecasting and impacting human socio-cultural behavior. For this three challenges have to be met: deep understanding, socio-cognitive reasoning, and re-usable computational technology. Thus papers come from a wide number of disciplines: computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science.
Social, Cultural, and Behavioral Modeling: 16th International Conference, SBP-BRiMS 2023, Pittsburgh, PA, USA, September 20–22, 2023, Proceedings (Lecture Notes in Computer Science #14161)
by Robert Thomson Samer Al-Khateeb Annetta Burger Patrick Park Aryn A. PykeThis book constitutes the proceedings of the 16th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2023, which was held in Pittsburgh, PA, USA in September 2023.The 31 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers were organized in topical sections as follows: Detecting malign influence; human behavior modeling; and social-cyber behavior modeling.
Social, Cultural, and Behavioral Modeling: 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings (Lecture Notes in Computer Science #11549)
by Robert Thomson Halil Bisgin Christopher Dancy Ayaz HyderThis book constitutes the proceedings of the 12th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2019, held in Washington, DC, USA, in July 2019. The total of 28 papers presented in this volume was carefully reviewed and selected from 72 submissions. The papers in this volume show, people, theories, methods and data from a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.
Social, Cultural, and Behavioral Modeling: 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6–9, 2021, Proceedings (Lecture Notes in Computer Science #12720)
by Robert Thomson Muhammad Nihal Hussain Christopher Dancy Aryn PykeThis book constitutes the proceedings of the 14th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2021, which was held online during July 6–9, 2021.The 32 full papers presented in this volume were carefully reviewed and selected from 56 submissions. The papers were organized in topical sections as follows: COVID-related focus; methodologies; social cybersecurity and social networks; and human and agent modeling. They represent a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used including, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.
Social, Cultural, and Behavioral Modeling: 17th International Conference, SBP-BRiMS 2024, Pittsburgh, PA, USA, September 18–20, 2024, Proceedings (Lecture Notes in Computer Science #14972)
by Robert Thomson Scott Renshaw Aryn Pyke Samer Al-Khateeb Annetta Burger Patrick Park Aravind HariharanThis book constitutes the proceedings of the 17th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2024, which was held in Pittsburgh, PA, USA, during September 18–20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are grouped into the following topics: advancements in tools and theory; data-driven approaches.
Social Data Analytics
by Amin Beheshti Samira Ghodratnama Mehdi Elahi Helia FarhoodThis book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
Social Data Analytics
by Amin Beheshti Samira Ghodratnama Mehdi Elahi Helia FarhoodThis book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
Social Democracy in the 21st Century (Comparative Social Research #35)
by Nik Brandal Dag Einar Thorsen Øivind BratbergSocial democrats in the Western world look back on a century where growth and expansion of centre-left values seemed, during certain periods of time, to be a law of nature. Today, the so-called golden era from the 1940s to the 1970s is just a distant memory for the social democratic movement. Volume 35 of Comparative Social Research challenges this narrative of the post-war glory of social democracy. It argues that social democracy has been associated too tightly with the specific context of post-1945 and explores the margin for manoeuvre for the social democratic movement, both now and in the future. Contributors to this book explore essential questions for contemporary social democrats, such as; What does social democracy constitute as a set of ideas in the 21st century experiencing rapid technological, economic and demographic change? Is the narrative of the decline of social democracy warranted, and is there an opportunity for transformation or even rejuvenation? Social Democracy in the 21st Century is an essential reading for academics and researchers of political science and sociology.
Social Democracy in the 21st Century (Comparative Social Research #35)
by Nik. Brandal, Øivind Bratberg, Dag Einar ThorsenSocial democrats in the Western world look back on a century where growth and expansion of centre-left values seemed, during certain periods of time, to be a law of nature. Today, the so-called golden era from the 1940s to the 1970s is just a distant memory for the social democratic movement. Volume 35 of Comparative Social Research challenges this narrative of the post-war glory of social democracy. It argues that social democracy has been associated too tightly with the specific context of post-1945 and explores the margin for manoeuvre for the social democratic movement, both now and in the future. Contributors to this book explore essential questions for contemporary social democrats, such as; What does social democracy constitute as a set of ideas in the 21st century experiencing rapid technological, economic and demographic change? Is the narrative of the decline of social democracy warranted, and is there an opportunity for transformation or even rejuvenation? Social Democracy in the 21st Century is an essential reading for academics and researchers of political science and sociology.