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Temporal Networks
The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field.
Subversion
A penetrating analysis of weaponized information–one of the most pressing dangers to open societies Now more than ever, communities across the world are integrated into a complex, global information ecosystem that shapes the nature of social, political, and economic life. The ripple effects of actors trying to manipulate or disrupt this information ecosystem are far more severe than the primary effects that are merely being felt in the information space. In fact, the weaponization of narratives has already shown its potential to transform the character of conflict in the twenty-first century. Subversion examines how malicious state and nonstate actors take advantage of the information spac...
Complex Spreading Phenomena in Social Systems
This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreadi...
Temporal Network Theory
This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.
Complex Networks & Their Applications VI
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.
Conspiracy Theories and the People who Believe Them
Conspiracy theories are inevitable in complex human societies. And while they have always been with us, their ubiquity in our political discourse is nearly unprecedented. Their salience has increased for a variety of reasons including the increasing access to information among ordinary people, a pervasive sense of powerlessness among those same people, and a widespread distrust of elites. Working in combination, these factors and many other factors are now propelling conspiracy theories into our public sphere on a vast scale. In recent years, scholars have begun to study this genuinely important phenomenon in a concerted way. In Conspiracy Theories and the People Who Believe Them, Joseph E. ...
Complex Networks & Their Applications XII
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks.
Temporal Network Epidemiology
This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field. More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks. This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.
Transitional Selves
This book engages with the ethics and practices of identity formation in a world experiencing identity stress. It engages with crucial questions such as: What models are shaping our view of ourselves and the society in which we live? What images ground our perception of what is true and real? How have the images been historically produced? What are the effects of such models on definitions of self? Should we break free from these images if we get to know what they are? Is it possible to change our models in order to create freer identities? Through a range of distinctive lenses, the essays in the volume deals with the ideas of the ‘liminal self’, the ‘digital self’, ‘identities in flux’, and offers up ‘anthropologies of self/selves’ that situates current identity processes within their cultures and explores strategies and dilemmas from this perspective. This key volume will be of interest to scholars and researchers of literary stories, critical theory, social theory, social anthropology, philosophy, and political philosophy.
Network Science In Education
Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network science - the study of connectivity - can play an important role in these activities, both as an important subject in teaching and learning and as a...
