Bøger i Computational Social Sciences serien

Mobile Social Networking

The primary focus of this book is an examination of longitudinal team communication and its impact on team performance.

This book presents a method for creating a working model of society, using data systems and simulation techniques, that can be used for testing propositions of scientific and policy nature. Readers of this text will, for the first time, have a simulation-based working model of society that can be interrogated for policy and substantive purposes.

This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes.

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies.

Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated.The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible.

This book presents a multi-disciplinary investigation into extortion rackets with a particular focus on the structures of criminal organisations and their collapse, societal processes in which extortion rackets strive and fail and the impacts of bottom-up and top-down ways of fighting extortion racketeering.

Roles, Trust and Reputation in Social Media Knowledge Markets will discuss some of the emerging trends in defining, measuring and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online.

This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data.

Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated.The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible.

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies.

Despite the novelty of the subject, the volume and importance of research in automatic human affect recognition, classification and simulation has been constantly growing in the past decades, leading to the development of further sub-areas of research.

Social Collective Intelligence

Roles, Trust and Reputation in Social Media Knowledge Markets will discuss some of the emerging trends in defining, measuring and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online.

The Complexity of Social Norms

How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general.

Conflict and Multimodal Communication

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples.

This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Conference 2014 in Barcelona, Spain. The extensive introduction offers a thorough review of the computer simulation of social dynamics in past societies as a means of understanding human history.

Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field.

Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field.

This open access book demonstrates the application of simulation modelling and network analysis techniques in the field of Roman studies.

This book covers the methodological, epistemological and practical issues of integrating qualitative and socio-anthropological factors into archaeological modeling.

The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research?