Author: National Research CouncilPublish On: 2005-12-15
Determine whether initiation of a new field of investigation called Network Science would be appropriate to advance knowledge of complex systems and processes that exhibit network behaviors. If yes, how should it be defined?
Author: National Research Council
Publisher: National Academies Press
The military is currently attempting to develop itself into a force capable of networkcentric operations. While this effort has highlighted the militaryâ€™s dependence on interacting networks, it has also shown that there is a huge gap between what we need to know about networks and our fundamental knowledge about network behavior. This gap makes the military vision of NCO problematic. To help address this problem, the Army asked the NRC to find out whether identifying and funding a new field of â€œnetwork scienceâ€ could help close this gap. This report presents an examination of networks andthe military, an analysis of the promise, content, and challenges of network science, and an assessment of approaches to creating value from network science.
The “new science of networks”—an emerging field of study that we abbreviate as network science, is really quite old, having roots as far back as 1736. Essentially the application of mathematical graph theory to problems in a variety of ...
Author: Ted G. Lewis, PhD
Publisher: John Wiley & Sons
A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.
This directed topic map will be useful for instructors to navigate through various network science topics and design their own curricula when teaching network science. We hope that the results presented in this chapter offers the first ...
Author: Catherine B. Cramer
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 way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and to its activities - has evolved in response to the escalating activity in the field of network science and the need for people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning appeals to both instructors and professionals, while offering case studies from a wide variety of activities that have been developed around the globe: the creation of entirely new courses and degree programs; tools for K-20 learners, teachers, and the general public; and in-depth analysis of selected programs. As network-based pedagogy and the community of practice continues to grow, we hope that the book's readers will join this vibrant network education community to build on these nascent ideas and help deepen the understanding of networks for all learners.
Network science is an emerging discipline concerned with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious ...
Author: Adam Wierzbicki
This book constitutes the refereed proceedings of the 12th International Conference and School of Network Science, NetSci-X 2016, held in Wroclaw, Poland, in January 2016. The 12 full and 6 short papers were carefully reviewed and selected from 59 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases.
This modern and accessible textbook introduces the basics of network science required across a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences.
Author: Filippo Menczer
Publisher: Cambridge University Press
Category: Business & Economics
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.
With its interdisciplinary nature, network science draws practitioners from a wide variety of backgrounds. At the time of writing this book, only a handful of universities offer programs dedicated to network science, so network ...
Author: Edward L. Platt
Publisher: Packt Publishing Ltd
Manipulate and analyze network data with the power of Python and NetworkX Key Features Understand the terminology and basic concepts of network science Leverage the power of Python and NetworkX to represent data as a network Apply common techniques for working with network data of varying sizes Book Description NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use. If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems. What you will learn Use Python and NetworkX to analyze the properties of individuals and relationships Encode data in network nodes and edges using NetworkX Manipulate, store, and summarize data in network nodes and edges Visualize a network using circular, directed and shell layouts Find out how simulating behavior on networks can give insights into real-world problems Understand the ongoing impact of network science on society, and its ethical considerations Who this book is for If you are a programmer or data scientist who wants to manipulate and analyze network data in Python, this book is perfect for you. Although prior knowledge of network science is not necessary, some Python programming experience will help you understand the concepts covered in the book easily.
Author: National Research CouncilPublish On: 2007-09-27
National Research Council, Division on Engineering and Physical Sciences, Board on Army Science and Technology, Committee on Strategies for Network Science, Technology, and Experimentation ...
Author: National Research Council
Publisher: National Academies Press
The U.S. military has committed to a strategy of network-centric warfare. As a result, the Army has become increasingly interested in the critical role of network science. To a significant extent, this interest was stimulated by an earlier NRC report, Network Science. To build on that book, the Army asked the NRC to conduct a study to define advanced operating models and architectures for future Army laboratories and centers focused on network science, technologies, and experimentation (NSTE). The challenges resulting from base realignment and closure (BRAC) relocations of Army research, development, and engineering resources--as they affected the NSTE program--were also to be a focus of the study. This book provides a discussion of what NSTE is needed by the Army; an examination of the NSTE currently carried out by the Army; an assessment of needed infrastructure resources for Army NSTE; and an analysis of goals, models, and alternatives for an NSTE center.
Author: Michael S. VitevitchPublish On: 2019-11-26
It is not clear if all of those networks, or all of those networks plus more, will be required to bridge the ... Network science gives cognitive scientists a set of new tools that enables them to ask new questions about the mind, ...
Author: Michael S. Vitevitch
This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.
However, the scope of network science is not limited to that of the military alone. The concepts of network science can be applied successfully to the networks that are encountered in commercial enterprises, telecommunications networks, ...
Author: Verma, Dinesh
Publisher: IGI Global
"This book is structured into sections that look at some of the challenges related to coalition operations in different types of networks, such as communications and information networks and human and cognitive networks, and looks at other issues that impact the operations of coalitions, the management and use of policies across different organizations"--Provided by publisher.
Harang, W.J. Glodek, Identification of anomalous network security token usage via clustering and density estimation, in 46th Annual Conference on Information Sciences and Systems (CISS), 21—23 Mar 2012, pp.1—6 Bridging the Semantic Gap: ...
Author: Robinson E. Pino
Publisher: Springer Science & Business Media
Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference. Advanced-level students in computer science or electrical engineering studying security will also find this book useful .