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Contagion And Ranking Processes In Complex Networks
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Book Synopsis Contagion and Ranking Processes in Complex Networks by : Qian Zhang
Download or read book Contagion and Ranking Processes in Complex Networks written by Qian Zhang and published by . This book was released on 2014 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent global surge in the wide usage of pervasive technologies such as social media, smart phones and other GPS-enabled portable devices has provided abundant data resources to understand dynamical processes on complex networks in the real world. At the same time, the easily accessible bibliographic data and geographical databases allow better understanding of scholarly networks and in charting the creation of knowledge globally. Moreover, the availability of large-scale human communication datasets presents new opportunities to study information dissemination and measure social interactions in real social systems. In this dissertation we focus on contagion and ranking processes on complex networks and explore the significant role that geography and interaction strength play in these processes. First, we investigate geospatial and temporal features of a publication dataset. We characterize the knowledge diffusion pattern between worldwide urban areas and its temporal evolution, and identify the key cities in the scientific research in Physics with a newly formulated ranking algorithm. Second, we propose a computational framework to detect and predict seasonal flu epidemics with geolocalized Twitter data for the United States in season 2013-2014. In the early period of a flu season, tweets containing GPS location and information related with influenza-like illness (ILI) indicate the spatial distribution of possible initially infected individuals. With estimated initial infections from ILI-related tweets and the Global Epidemic and Mobility (GLEAM) model, we successfully predicted flu season starting time, peaking time and season intensity in real-time at both national and regional level. In the second part, we also explore the role interaction strength plays in contagion processes. For a human-to-human communication network, we develop a novel data-driven method to identify the importance of links in information cascading processes. This new link property characterizes the strength of ties and is able to capture both structural and diffusion roles of weak ties in the communication network. Through link removal percolation and data-driven SIR simulations, we show that the combined information of link importance and overlap provides the best way to identify weak links. Last but not least, we discover a phase transition between absorbing and active states of the classic Maki-Thompson rumor spreading model on random networks. The parameters of the contagion process as well as the network architecture determine whether the rumor will spread globally or whether it will be confined within a small neighborhood.
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 Complex Networks and Their Applications VII by : Luca Maria Aiello
Download or read book Complex Networks and Their Applications VII written by Luca Maria Aiello and published by Springer. This book was released on 2018-12-01 with total page 906 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, 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.
Book Synopsis The SAGE Handbook of Social Media Research Methods by : Anabel Quan-Haase
Download or read book The SAGE Handbook of Social Media Research Methods written by Anabel Quan-Haase and published by SAGE. This book was released on 2022-09-02 with total page 860 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focussing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as: Data sources Scraping and spidering data Locative data, video data and linked data Platform-specific analysis Analytical tools Critical social media analysis Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches. This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project. PART 1: Conceptualising and Designing Social Media Research PART 2: Collecting Data PART 3: Qualitative Approaches to Social Media Data PART 4: Quantitative Approaches to Social Media Data PART 5: Diverse Approaches to Social Media Data PART 6: Research & Analytical Tools PART 7: Social Media Platforms PART 8: Privacy, Ethics and Inequalities
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.
Book Synopsis Complex Networks and Their Applications VIII by : Hocine Cherifi
Download or read book Complex Networks and Their Applications VIII written by Hocine Cherifi and published by Springer Nature. This book was released on 2019-11-25 with total page 992 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 Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. 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; 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 Computation in Complex Networks by : Clara Pizzuti
Download or read book Computation in Complex Networks written by Clara Pizzuti and published by MDPI. This book was released on 2021-09-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Modelling the Social Dynamics of Contagion and Discovery Using Dynamical Processes on Complex Networks by : Iacopo Iacopini
Download or read book Modelling the Social Dynamics of Contagion and Discovery Using Dynamical Processes on Complex Networks written by Iacopo Iacopini and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Complex Networks and Their Applications XI by : Hocine Cherifi
Download or read book Complex Networks and Their Applications XI written by Hocine Cherifi and published by Springer Nature. This book was released on 2023-01-25 with total page 674 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 XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). 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 Dynamics On and Of Complex Networks III by : Fakhteh Ghanbarnejad
Download or read book Dynamics On and Of Complex Networks III written by Fakhteh Ghanbarnejad and published by Springer. This book was released on 2019-05-13 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.
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 Symmetry Measures on Complex Networks by : Angel Garrido
Download or read book Symmetry Measures on Complex Networks written by Angel Garrido and published by MDPI. This book was released on 2018-07-09 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Symmetry Measures on Complex Networks" that was published in Symmetry
Book Synopsis Complex Networks VIII by : Bruno Gonçalves
Download or read book Complex Networks VIII written by Bruno Gonçalves and published by Springer. This book was released on 2017-03-01 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.
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 Contagion In Social Networks by : Christopher John Cameron
Download or read book Complex Contagion In Social Networks written by Christopher John Cameron and published by . This book was released on 2016 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work improves the applicability of complex contagion theory to empirical data by examining the assumptions of previous models of complex contagion and developing methods for measuring theoretically relevant quantities from observational data. I consider the dynamics of complex contagion processes on networks with different distributions of tie range. Following prior work, I explore the impact of permuting networks to induce more long range ties but also examine the contagion motifs and larger scale dynamics observed during the contagion life-cycle. I identify a mechanism-the formation of persistent locally isolated clusters-that triggers sudden mid-life-cycle increases in the rate of contagion on networks with some long range ties. I argue that both the number and the distribution of long range ties is critical to development of such clusters. A survey of tie range distributions in empirical social networks revealed a consistent qualitative pattern where the range of long range ties is decidedly shorter than previous complex contagion models assumed. Next, I examine contagion dynamics on networks with more realistic distributions of tie range. Even though the neighborhood-to-node contagion motifs are substantially the same on both types of networks, realistic tie range distributions virtually eliminate the endogenous development of the clusters. Contagion on these networks is more robust to permutation but does not produce the mid-cycle accelerations found in networks with uniformly random permu- tation. Finally, I identify a measurement issue that biases estimates of node thresholds from observed exposure at activation. I show the bias can be reduced by collecting additional data about non-activating exposures and using only a subset of observations to produce the estimates. The empirically informed models presented in this work provide new insight about the potential outcome and dynamics of complex contagion processes in human social networks. Improved estimation techniques for node thresholds allow particular cases of empirical contagion to be described in terms of complex contagion theory. The results support an ongoing research program in complex contagion.
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 Multilayer Network Science by : Oriol Artime
Download or read book Multilayer Network Science written by Oriol Artime and published by Cambridge University Press. This book was released on 2022-09-30 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the last decade, multilayer network science – the branch of the field dealing with units interacting in multiple distinct ways, simultaneously – was demonstrated to be an effective modeling and analytical framework for a wide spectrum of empirical systems, from biopolymers networks (such as interactome and metabolomes) to neuronal networks (such as connectomes), from social networks to urban and transportation networks. In this Element, a decade after one of the most seminal papers on this topic, the authors review the most salient features of multilayer network science, covering both theoretical aspects and direct applications to real-world coupled/interdependent systems, from the point of view of multilayer structure, dynamics and function. The authors discuss potential frontiers for this topic and the corresponding challenges in the field for the next future.
