Books in the Computational Social Sciences series

Social Collective Intelligence

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

This book presents the effects of integrating information and communication technologies (ICT) and economic processes in macroeconomic dynamics, finance, marketing, industrial policies, and in government economic strategy.

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

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 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.

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

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.

This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence.

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

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?