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Working with Network Data
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.
Embodied Activities in Face-to-face and Mediated Settings
This edited book revisits the concept of social ‘activities’ from an interactional perspective, examining how verbal, vocal, visual-spatial and material resources are deployed by participants for meaning-making in social encounters. The eleven original chapters within this volume analyse activities based on video recordings of naturalistic and naturally occurring social encounters from face-to-face and mediated settings in Chinese, Dutch, English, French, and German. Informed primarily by the methodological approaches of Conversation Analysis and Interactional Linguistics, the authors study embodiment in space and time in three distinct types of situations: objects in space, complex participation frameworks, and affiliation and alignment. Moreover, the book includes a theoretical and methodological discussion of how activities are constituted and visibly embodied in interaction. It will be of interest to students and scholars in sociology and linguistics in general, and face-to-face and mediated interaction in particular.
The Future of Scholarship on Diversity and Inclusion in Organizations
The current volume, the fourth in the series, provides a broad look at the meaning and understanding of diversity and inclusion in organizations. The contributors to this book look toward the future of D&I in organizations and the scholarship of these phenomena. This future focus references not only the content of the chapters-- which we hoped would offer new ideas, emphases, theories, and predictions-- but also to the contributors, emerging scholars who are the future of the field. Indeed, the chapters in this volume offer new perspectives on diversity in organizations, problematize existing perceptions and practices, and offer potential directions for change. Together, the questions and ideas offered these chapters generate a path forward for a thoughtful and nuanced view of D&I in future organizational science. In spite and because of their critiques of the status quo, the scholars and scholarship highlighted here provide hope for positive change.
Computation in Complex Networks
Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine
How Worlds Collapse
As our society confronts the impacts of globalization and global systemic risks—such as financial contagion, climate change, and epidemics—what can studies of the past tell us about our present and future? How Worlds Collapse offers case studies of societies that either collapsed or overcame cataclysmic adversity. The authors in this volume find commonalities between past civilizations and our current society, tracing patterns, strategies, and early warning signs that can inform decision-making today. While today’s world presents unique challenges, many mechanisms, dynamics, and fundamental challenges to the foundations of civilization have been consistent throughout history—highlighting essential lessons for the future.
Complex Networks XII
This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
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 XII
Zusammenfassung: 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
Networked
How social networks, the personalized Internet, and always-on mobile connectivity are transforming—and expanding—social life. Daily life is connected life, its rhythms driven by endless email pings and responses, the chimes and beeps of continually arriving text messages, tweets and retweets, Facebook updates, pictures and videos to post and discuss. Our perpetual connectedness gives us endless opportunities to be part of the give-and-take of networking. Some worry that this new environment makes us isolated and lonely. But in Networked, Lee Rainie and Barry Wellman show how the large, loosely knit social circles of networked individuals expand opportunities for learning, problem solving...
Complex Networks and Their Applications VII
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, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure and network dynamics; diffusion, epidemics and spreading processes; and resilience and control; as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.
