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Spreading Processes In Complex Networks
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Book Synopsis Dynamical Processes on Complex Networks by : Alain Barrat
Download or read book Dynamical Processes on Complex Networks written by Alain Barrat and published by Cambridge University Press. This book was released on 2012-10-11 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. For example, a vast number of everyday systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This new and recent account presents a comprehensive explanation of these effects.
Book Synopsis Spreading Processes in Complex Networks by : Yufan Huang
Download or read book Spreading Processes in Complex Networks written by Yufan Huang and published by . This book was released on 2019 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Complex Spreading Phenomena in Social Systems by : Sune Lehmann
Download or read book Complex Spreading Phenomena in Social Systems written by Sune Lehmann and published by Springer. This book was released on 2018-06-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 spreading processes in real-world networks. 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 volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.
Book Synopsis Diffusion and Supercritical Spreading Processes on Complex Networks by : Flavio Iannelli
Download or read book Diffusion and Supercritical Spreading Processes on Complex Networks written by Flavio Iannelli and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spreading Processes in Complex Networks of Cultured Neurons and Society by : Franz Paul Spitzner
Download or read book Spreading Processes in Complex Networks of Cultured Neurons and Society written by Franz Paul Spitzner and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex networks appear across various contexts of our lives. Telecommunication, transport, infrastructure and finance are candidates to come to mind, and we humans ourselves, just going about our day as usual, meeting others, create a complex network of contacts. Also in our bodies, we can find intricate complex networks, not just of metabolic and molecular interactions, but in a structural sense. As a particular example, consider the human brain, where the cortex alone is built of 16 × 10^9 neurons, forming far-from-random structures. These networks can form a backbone on which spreading ...
Book Synopsis Multiplex Networks by : Emanuele Cozzo
Download or read book Multiplex Networks written by Emanuele Cozzo and published by Springer. This book was released on 2018-06-27 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the basis of a formal language and explores its possibilities in the characterization of multiplex networks. Armed with the formalism developed, the authors define structural metrics for multiplex networks. A methodology to generalize monoplex structural metrics to multiplex networks is also presented so that the reader will be able to generalize other metrics of interest in a systematic way. Therefore, this book will serve as a guide for the theoretical development of new multiplex metrics. Furthermore, this Brief describes the spectral properties of these networks in relation to concepts from algebraic graph theory and the theory of matrix polynomials. The text is rounded off by analyzing the different structural transitions present in multiplex systems as well as by a brief overview of some representative dynamical processes. Multiplex Networks will appeal to students, researchers, and professionals within the fields of network science, graph theory, and data science.
Book Synopsis Dynamical Processes on Complex Networks by : Alain Barrat
Download or read book Dynamical Processes on Complex Networks written by Alain Barrat and published by Cambridge University Press. This book was released on 2008-10-23 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
Book Synopsis Stochastic Spreading Processes on Networks by : Aram Vajdi
Download or read book Stochastic Spreading Processes on Networks written by Aram Vajdi and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Spreading processes appear in diverse natural and technological systems, such as the spread of infectious diseases and the dissemination of information. It has been demonstrated that the structure of interaction among population members can dramatically influence spreading dynamics. Therefore, researchers have focused on studying spreading processes over complex networks, where interaction among individuals could be highly heterogeneous. This dissertation aims to add to the current understanding of networked spreading processes by investigating various aspects of the Susceptible-Infected-Susceptible (SIS) model. Our first contribution is related to the inverse problem of continuous time SIS spreading over a graph. In other words, we show the possibility of inferring the underlying network from observations on the node states through time. We formulate the inverse problem as a Bayesian inference problem and find the posterior probabilities for the existence of uncertain links. Second, we study the SIS spreading process over time dependent networks, where the contact network's links are not permanent. To analyze the effect of link durations on the epidemic threshold of the SIS process, we develop a temporal network model. In this model, the temporal links result from the transition of nodes between two auxiliary node states, namely active and inactive. Combining the dynamics of the network and the spreading process, we derive the mean-field equations that describe SIS spreading processes over such temporal networks. The analysis of these equations reveals the effect of link durations on the epidemic threshold in the SIS process. Third, we study the localization of epidemics in the SIS process. In general, the SIS model has an absorbing state where all individuals are healthy. However, depending on the infection rate value, this process can reach a metastable state, where the infection does not die out. In this metastable state, some parts of the network can be disproportionately infected. We quantify the infection dispersion in the network, and formulate a convex optimization problem to find an upper bound for the dispersion of infection in the network. Finally, we focus on the estimation of spreading data from partially available information. In general, various spreading-related functions are defined over the nodes of a network. Assuming access to the values of a function for a subset of the nodes, we use the concept of effective resistance distance and feed forward neural networks, to estimate the function for the remaining nodes. Although this dissertation focuses on the SIS model, the methods we have presented and developed here are applicable to a broad range of stochastic networked spreading processes. The exact mathematical treatment of such processes is intractable due to their exponential space size, and therefore there are still various unknown aspects of their behavior that require further work. Our studies in this dissertation advance the current knowledge about networked spreading models.
Book Synopsis Propagation Dynamics on Complex Networks by : Xinchu Fu
Download or read book Propagation Dynamics on Complex Networks written by Xinchu Fu and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history epidemic diseases have presented a serious threat to human life, and in recent years the spread of infectious diseases such as dengue, malaria, HIV, and SARS has captured global attention; and in the modern technological age, the proliferation of virus attacks on the Internet highlights the emergent need for knowledge about modeling, analysis, and control in epidemic dynamics on complex networks. For advancement of techniques, it has become clear that more fundamental knowledge will be needed in mathematical and numerical context about how epidemic dynamical networks can be modelled, analyzed, and controlled. This book explores recent progress in these topics and looks at issues relating to various epidemic systems. Propagation Dynamics on Complex Networks covers most key topics in the field, and will provide a valuable resource for graduate students and researchers interested in network science and dynamical systems, and related interdisciplinary fields. Key Features: Includes a brief history of mathematical epidemiology and epidemic modeling on complex networks. Explores how information, opinion, and rumor spread via the Internet and social networks. Presents plausible models for propagation of SARS and avian influenza outbreaks, providing a reality check for otherwise abstract mathematical modeling. Considers various infectivity functions, including constant, piecewise-linear, saturated, and nonlinear cases. Examines information transmission on complex networks, and investigates the difference between information and epidemic spreading.
Book Synopsis Complex Networks & Their Applications IX by : Rosa M. Benito
Download or read book Complex Networks & Their Applications IX written by Rosa M. Benito and published by Springer Nature. This book was released on 2020-12-19 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). 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 neuroscience networks and technological networks.
Book Synopsis Complex Networks & Their Applications XII by : Hocine Cherifi
Download or read book Complex Networks & Their Applications XII written by Hocine Cherifi and published by Springer Nature. This book was released on with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Complex Networks & Their Applications VI by : Chantal Cherifi
Download or read book Complex Networks & Their Applications VI written by Chantal Cherifi and published by Springer. This book was released on 2017-11-24 with total page 1290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Dynamic Processes on Complex Networks by : Christos Nicolaides
Download or read book Dynamic Processes on Complex Networks written by Christos Nicolaides and published by . This book was released on 2014 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of dynamic processes that take place on heterogeneous networks is essential to better understand, forecast, and manage human activities in an increasingly connected world. In this Thesis, we elucidate the role of the network topology as well as the nature of the underlying processes in a variety of phenomena rooted on highly connected network systems. We use real world applications as the motivation to address three distinct questions. The first question is: how is the spread of infectious diseases at the global scale mediated by long-range human travel? We show that network topology, geography, traffic structure and individual mobility patterns are all essential for accurate predictions of disease spreading. Specifically, we study contagion dynamics through the air transportation network by means of a stochastic agent-tracking model that accounts for the spatial distribution of airports, detailed air traffic and the correlated nature of mobility patterns and waiting-time distributions of individual agents. We formulate a metric of influential spreading-the geographic spreading centrality-which provides an accurate measure of the early-time spreading power of individual nodes. The second question is: what is the effect of human behavioral changes in their mobility patterns on the dynamics of contagion through transportation networks? We address this question by developing a model of awareness coupled to disease spreading through mobility networks, where we implement two kinds of behavioral changes: selfish and policy-driven. In analogy with the concept of price of anarchy in transportation networks subject to congestion, we show that maximizing individual utility leads to a loss of welfare for the social group, measured here by the size of the outbreak. The third question is: what are the mechanisms behind the formation of cell assemblies in neural activity networks? From a neuroscience perspective: How can one explain functional compartmentalization in a globally-connected brain? Here we show that simple mechanisms of neural interaction allow for the emergence of robust cell assemblies through self-organization. We demonstrate the properties of such neural network processes with a minimal-ingredients model of excitation and inhibition between neurons that leads to self-organization of neural activity into local quantized states, even though the underlying network system is globally connected.
Book Synopsis Complex Networks & Their Applications XII by : Hocine Cherifi
Download or read book Complex Networks & Their Applications XII written by Hocine Cherifi and published by Springer Nature. This book was released on with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Large Scale Structure And Dynamics Of Complex Networks: From Information Technology To Finance And Natural Science by : Alessandro Vespignani
Download or read book Large Scale Structure And Dynamics Of Complex Networks: From Information Technology To Finance And Natural Science written by Alessandro Vespignani and published by World Scientific. This book was released on 2007-06-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.
Book Synopsis How Behavior Spreads by : Damon Centola
Download or read book How Behavior Spreads written by Damon Centola and published by Princeton University Press. This book was released on 2020-03-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new, counterintuitive theory for how social networks influence the spread of behavior New social movements, technologies, and public-health initiatives often struggle to take off, yet many diseases disperse rapidly without issue. Can the lessons learned from the viral diffusion of diseases improve the spread of beneficial behaviors and innovations? How Behavior Spreads presents over a decade of original research examining how changes in societal behavior—in voting, health, technology, and finance—occur and the ways social networks can be used to influence how they propagate. Damon Centola's startling findings show that the same conditions that accelerate the viral expansion of an epidemic unexpectedly inhibit the spread of behaviors. How Behavior Spreads is a must-read for anyone interested in how the theory of social networks can transform our world.
Book Synopsis Threshold Driven Contagion on Complex Networks by : Samuel Lee Unicomb
Download or read book Threshold Driven Contagion on Complex Networks written by Samuel Lee Unicomb and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks arise frequently in the study of complex systems, since interactions among the components of such systems are critical. Net- works can act as a substrate for dynamical process, such as the diffusion of information or disease throughout populations. Network structure can determine the temporal evolution of a dynamical process, including the characteristics of the steady state. The simplest representation of a complex system is an undirected, unweighted, single layer graph. In contrast, real systems exhibit heterogeneity of interaction strength and type. Such systems are frequently represented as weighted multiplex networks, and in this work we in- corporate these heterogeneities into a master equation formalism in order to study their effects on spreading processes. We also carry out simulations on synthetic and empirical networks, and show that spread- ing dynamics, in particular the speed at which contagion spreads via threshold mechanisms, depend non-trivially on these heterogeneities. Further, we show that an important family of networks undergo reentrant phase transitions in the size and frequency of global cascades as a result of these interactions. A challenging feature of real systems is their tendency to evolve over time, since the changing structure of the underlying network is critical to the behaviour of overlying dynamical processes. We show that one aspect of temporality, the observed “burstiness” in interaction patterns, leads to non-monotic changes in the spreading time of threshold driven contagion processes. The above results shed light on the effects of various network heterogeneities, with respect to dynamical processes that evolve on these networks.
