Generating Random Networks and Graphs

Author: Ton Coolen,Alessia Annibale,Ekaterina Roberts

Publisher: Oxford University Press

ISBN: 019101981X

Category: Science

Page: 310

View: 6209

Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for theoretical study. This book presents and discusses common methods of generating random graphs. It begins with approaches such as Exponential Random Graph Models, where the targeted probability of each network appearing in the ensemble is specified. This section also includes degree-preserving randomisation algorithms, where the aim is to generate networks with the correct number of links at each node, and care must be taken to avoid introducing a bias. Separately, it looks at growth style algorithms (e.g. preferential attachment) which aim to model a real process and then to analyse the resulting ensemble of graphs. It also covers how to generate special types of graphs including modular graphs, graphs with community structure and temporal graphs. The book is aimed at the graduate student or advanced undergraduate. It includes many worked examples and open questions making it suitable for use in teaching. Explicit pseudocode algorithms are included throughout the book to make the ideas straightforward to apply. With larger and larger datasets, it is crucial to have practical and well-understood tools. Being able to test a hypothesis against a properly specified control case is at the heart of the 'scientific method'. Hence, knowledge on how to generate controlled and unbiased random graph ensembles is vital for anybody wishing to apply network science in their research.

Galileos Finger

die zehn großen Ideen der Naturwissenschaft

Author: Peter W. Atkins

Publisher: N.A

ISBN: 9783608941258

Category: Discoveries in science

Page: 526

View: 9037

Der Mann, der die Zahlen liebte.

Die erstaunliche Geschichte des Paul Erdös und die Suche nach der Schönheit in der Mathematik.

Author: Paul Hoffman

Publisher: N.A

ISBN: 9783548750583


Page: 357

View: 8887

Computational Science - ICCS 2003

International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings

Author: Peter M.A. Sloot,David Abramson,Alexander V. Bogdanov,Jack J. Dongarra,Albert Y. Zomaya,Yuriy E. Gorbachev

Publisher: Springer Science & Business Media

ISBN: 3540401954

Category: Computers

Page: 1131

View: 814

The four-volume set LNCS 2657, LNCS 2658, LNCS 2659, and LNCS 2660 constitutes the refereed proceedings of the Third International Conference on Computational Science, ICCS 2003, held concurrently in Melbourne, Australia and in St. Petersburg, Russia in June 2003. The four volumes present more than 460 reviewed contributed and invited papers and span the whole range of computational science, from foundational issues in computer science and algorithmic mathematics to advanced applications in virtually all application fields making use of computational techniques. These proceedings give a unique account of recent results in the field.

Exploratory Social Network Analysis with Pajek

Author: Wouter De Nooy,Andrej Mrvar,Vladimir Batagelj

Publisher: Cambridge University Press

ISBN: 1108474144

Category: Language Arts & Disciplines

Page: 450

View: 1001

The textbook on analysis and visualization of social networks that integrates theory, applications, and professional software for performing network analysis. Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it. Each chapter offers case studies for practicing network analysis.

Information Networking. Networking Technologies for Broadband and Mobile Networks

International Conference ICOIN 2004, Busan, Korea, February 18-20, 2004, Revised Selected Papers

Author: Hyun-Kook Kahng,Shigeki Goto,Korea) International Conference on Information Networking (2004 : Pusan

Publisher: Springer Science & Business Media

ISBN: 3540230343

Category: Computers

Page: 1048

View: 516

This book constitutes the thoroughly refereed post proceedings of the International Conference on Information Networking, ICOIN 2004, held in Busan, Korea, in February 2004. The 104 revised full papers presented were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on mobile Internet and ubiquitous computing; QoS, measurement and performance analysis; high-speed network technologies; next generation Internet architecture; security; and Internet applications.

Fundamentals of Complex Networks

Models, Structures and Dynamics

Author: Guanrong Chen,Xiaofan Wang,Xiang Li

Publisher: John Wiley & Sons

ISBN: 1118718143

Category: Computers

Page: 392

View: 9593

Complex networks such as the Internet, WWW, transportation networks, power grids, biological neural networks, and scientific cooperation networks of all kinds provide challenges for future technological development. • The first systematic presentation of dynamical evolving networks, with many up-to-date applications and homework projects to enhance study • The authors are all very active and well-known in the rapidly evolving field of complex networks • Complex networks are becoming an increasingly important area of research • Presented in a logical, constructive style, from basic through to complex, examining algorithms, through to construct networks and research challenges of the future

Unimodularity in Randomly Generated Graphs

Author: Florian Sobieczky

Publisher: American Mathematical Soc.

ISBN: 147043914X

Category: Graph theory

Page: 211

View: 1295

This volume contains the proceedings of the AMS Special Session on Unimodularity in Randomly Generated Graphs, held from October 8–9, 2016, in Denver, Colorado. Unimodularity, a term initially used in locally compact topological groups, is one of the main examples in which the generalization from groups to graphs is successful. The “randomly generated graphs”, which include percolation graphs, random Erdős–Rényi graphs, and graphings of equivalence relations, are much easier to describe if they result as random objects in the context of unimodularity, with respect to either a vertex-transient “host”-graph or a probability measure. This volume tries to give an impression of the various fields in which the notion currently finds strong development and application: percolation theory, point processes, ergodic theory, and dynamical systems.

Counterterrorism and Open Source Intelligence

Author: Uffe Wiil

Publisher: Springer Science & Business Media

ISBN: 9783709103883

Category: Computers

Page: 458

View: 3072

Since the 9/11 terrorist attacks in the United States, serious concerns were raised on domestic and international security issues. Consequently, there has been considerable interest recently in technological strategies and resources to counter acts of terrorism. In this context, this book provides a state-of-the-art survey of the most recent advances in the field of counterterrorism and open source intelligence, demonstrating how various existing as well as novel tools and techniques can be applied in combating covert terrorist networks. A particular focus will be on future challenges of open source intelligence and perspectives on how to effectively operate in order to prevent terrorist activities.

Models and Algorithms for Biomolecules and Molecular Networks

Author: Bhaskar DasGupta,Jie Liang

Publisher: John Wiley & Sons

ISBN: 1119162270

Category: Science

Page: 264

View: 2496

By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises

Web and Network Data Science

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133887642

Category: Computers

Page: 384

View: 9204

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.

Random Networks for Communication

From Statistical Physics to Information Systems

Author: Massimo Franceschetti,Ronald Meester

Publisher: Cambridge University Press

ISBN: 1139467697

Category: Mathematics

Page: N.A

View: 5877

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

A Graph-Theoretic Approach to Enterprise Network Dynamics

Author: Horst Bunke,Peter J. Dickinson,Miro Kraetzl,Walter D. Wallis

Publisher: Springer Science & Business Media

ISBN: 9780817645199

Category: Computers

Page: 226

View: 1950

This monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings. Based on many years of applied research on generic network dynamics, this work covers a number of elegant applications (including many new and experimental results) of traditional graph theory algorithms and techniques to computationally tractable network dynamics analysis to motivate network analysts, practitioners and researchers alike.

An Introduction to Exponential Random Graph Modeling

Author: Jenine K. Harris

Publisher: SAGE Publications

ISBN: 148332205X

Category: Social Science

Page: 136

View: 8962

This volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although it was developed to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression, making this a very useful method for examining social systems. Recent advances in statistical software have helped make ERGM accessible to social scientists, but a concise guide to using ERGM has been lacking. An Introduction to Exponential Random Graph Modeling, by Jenine K. Harris, fills that gap, by using examples from public health, and walking the reader through the process of ERGM model-building using R statistical software and the statnet package.

Dynamics On and Of Complex Networks

Applications to Biology, Computer Science, and the Social Sciences

Author: Niloy Ganguly,Andreas Deutsch,Animesh Mukherjee

Publisher: Springer Science & Business Media

ISBN: 0817647503

Category: Computers

Page: 305

View: 3642

This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.

Statistical Analysis of Network Data

Methods and Models

Author: Eric D. Kolaczyk

Publisher: Springer Science & Business Media

ISBN: 0387881468

Category: Computers

Page: 386

View: 5484

In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

Animal Social Networks

Author: Jens Krause,Richard James,Daniel Franks,Darren Croft

Publisher: OUP Oxford

ISBN: 019166829X

Category: Science

Page: 288

View: 2293

The scientific study of networks - computer, social, and biological - has received an enormous amount of interest in recent years. However, the network approach has been applied to the field of animal behaviour relatively late compared to many other biological disciplines. Understanding social network structure is of great importance for biologists since the structural characteristics of any network will affect its constituent members and influence a range of diverse behaviours. These include finding and choosing a sexual partner, developing and maintaining cooperative relationships, and engaging in foraging and anti-predator behavior. This novel text provides an overview of the insights that network analysis has provided into major biological processes, and how it has enhanced our understanding of the social organisation of several important taxonomic groups. It brings together researchers from a wide range of disciplines with the aim of providing both an overview of the power of the network approach for understanding patterns and process in animal populations, as well as outlining how current methodological constraints and challenges can be overcome. Animal Social Networks is principally aimed at graduate level students and researchers in the fields of ecology, zoology, animal behaviour, and evolutionary biology but will also be of interest to social scientists.

Functional Coherence of Molecular Networks in Bioinformatics

Author: Mehmet Koyutürk,Shankar Subramaniam,Ananth Grama

Publisher: Springer Science & Business Media

ISBN: 9781461403203

Category: Science

Page: 228

View: 7991

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.

Advances in Informatics

10th Panhellenic Conference on Informatics, PCI 2005, Volas, Greece, November 11-13, 2005, Proceedings

Author: Panayiotis Bozanis,Elias N. Houstis

Publisher: Springer


Category: Computers

Page: 873

View: 4032

This book constitutes the refereed proceedings of the 10th Panhellenic Conference on Informatics, PCI 2005, held in Volas, Greece, in November 2005. The 83 revised full papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on data bases and data mining, algorithms and theoretical foundations, cultural and museum information systems, internet-scale software/information systems, wearable and mobile computing, computer graphics, virtual reality and visualization, AI, machine learning and knowledge bases, languages, text and speech processing, bioinformatics, software engineering, educational technologies, e-business, computer and sensor hardware and architecture, computer security, image and video processing, signal processing and telecommunications, computer and sensor networks.

Random Networks in Configuration Space for Fast Path Planning

Author: Lydia E. Kavraki

Publisher: N.A


Category: Robotics

Page: 131

View: 5479

In the second part of this dissertation, we present a new method that uses the the Fast Fourier Transform to compute the obstacle map required by certain path planning algorithms. In the final part of this dissertation, we consider a problem from assembly planning. In assembly planning we are interested in generating feasible sequences of motions that construct a mechanical product from its individual parts. We prove that the monotone assembly partitioning problem in the plane is NP-complete.