Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures provides a clear and consolidated view of current social network models. This work explores new methods for modeling, characterizing, and constructing social networks. Chapters contained in this book study critical security issues confronting social networking, the emergence of new mobile social networking devices and applications, network robustness, and how social networks impact the business aspects of organizations.

This open access book applies insights from the network perspective in health research to explain the reproduction of health inequalities. It discusses the extant literature in this field that strongly correlates differences in social status with health behaviours and outcomes, and add to this literature by providing a coherent theoretical explanation for the causes of these health inequalities. It also shows that much research is needed on the precise factors and the social and socio-psychological mechanisms that are at play in creating and cementing social inequalities in health behaviours. While social support and social relations have received considerable attention within social and behavioural science research on health inequalities, this book considers the whole network of interpersonal relations, structures and influence mechanisms. This is the perspective of the social network analytical approach which has recently gained much attention in health research. The chapters of this book cover state-of-the-art research, open research questions, and perspectives for future research. The book provides network analyses on health inequalities from the perspective of sociology, psychology, and public health and is of interest to a wide range of scholars, students and practitioners trying to understand how health inequalities are reproduced across generations.

Complete proceedings of the 2nd European Conference on Social Media Porto Portugal Published by Academic Conferences and Publishing International Limited

Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process—including basic maths principles—without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way. In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on: Digital data and social networks like Twitter Statistical models to use in SNA, like QAP and ERGM The structure and centrality of networks Methods for cohesive subgroups/community detection Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.

The present work is intended to assist academics, researchers and proponents of online learning and teaching. Academics will be able to share the findings presented in this book, and the Social Networking and Education Model (SNEM), with their students (i.e. Masters and PhD). It is envisaged that this book will assist researchers and anyone interested in online learning to understand the opportunities and risks associated with the use of Social Networking in the education sector, and assist them to implement SN by means of the new SNEM model. The reader will benefit from our examinations of the risks and opportunities associated with the use of Social Networking in the education sector in various regions around the world: Asia-Pacific, Europe, Mediterranean, America, Middle East and the Caribbean. In addition, a Social Networking and Education Model (SNEM) will be developed to promote and implement Social Networking in the education sector.

Understanding the link between individual behaviour and population organization and functioning has long been central to ecology and evolutionary biology. Behaviour is a response to intrinsic and extrinsic factors including individual state, ecological factors or social interactions. Within a group, each individual can be seen as part of a network of social interactions varying in strength, type and dynamic. The structure of this network can deeply impact the ecology and evolution of individuals, populations and species. Within a group social interactions can take many forms and may significantly affect an individual’s fitness. These interactions may result in complex systems at the group-level, such as in the case of collective decisions (to migrate, to build nest or to forage). Among them, social transmission of information has been studied mostly in vertebrates: fish, birds and mammals including humans. In insects, social learning has been unambiguously demonstrated in social Hymenoptera but this probably reflects limited research effort and recent evidence show that even non-eusocial insects such as Drosophila, cockroaches and crickets can copy the behaviour of others. Compared to individual learning, which requires a trial and error period every generation, social learning can potentially result in the stable transmission of behaviours across generations, leading to cultural traditions in some species. The study of the processes which may facilitate or prevent this transmission and the analyses of the relationship between social network structure and efficiency of social transmission became these recent years an emerging and promising field of research. The goal of this research topic is to present the genetic and socio-environmental factors affecting social interaction and information or pathogen transmission with the integration of experimental approaches, social network analyses and modelling. Importantly, we aim to understand whether a relationship between social network structures and dynamics can reflect the efficiency of social transmission, i.e. can we use social network analysis to predict the social transmission of information or of pathogen, collective decision-making and ultimately the evolutionary trajectory of a group?

As various areas of discipline continue to progress into the digital age, diverse modes of technology are being experimented with and ultimately implemented into common practices. Mobile products and interactive devices, specifically, are being tested within educational environments as well as corporate business in support of online learning and e-commerce initiatives. There is a boundless stock of factors that play a role in successfully implementing web technologies and user-driven learning strategies, which require substantial research for executives and administrators in these fields. The Handbook of Research on User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses is an essential reference source that presents research on the strategic role of user experience in e-learning and e-commerce at the level of the global economy, networks and organizations, teams and work groups, and information systems. The book assesses the impact of e-learning and e-commerce technologies on different organizations, including higher education institutions, multinational corporations, health providers, and business companies. Featuring research on topics such as ubiquitous interfaces, computer graphics, and image processing, this book is ideally designed for program developers and designers, researchers, practitioners, IT professionals, executives, academicians, and students.