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Network Horizon Dynamics I: Qualitative AspectsMar 25 2019Mostly acyclic directed networks, treated mathematically as directed graphs, arise in machine learning, biology, social science, physics, and other applications. Newman [1] has noted the mathematical challenges of such networks. In this series of papers, ... More

Consensus and diversity in multi-state noisy voter modelsMar 21 2019We study a variant of the voter model with multiple opinions; individuals can imitate each other and also change their opinion randomly in mutation events. We focus on the case of a population with all-to-all interaction. A noise-driven transition between ... More

Controllability-Gramian Submatrices for a Network Consensus ModelMar 21 2019Principal submatrices of the controllability Gramian and their inverses are examined, for a network-consensus model with inputs at a subset of network nodes. Specifically, several properties of the Gramian submatrices and their inverses -- including dominant ... More

Link prediction with hyperbolic geometryMar 21 2019Link prediction is a paradigmatic problem in network science with a variety of applications. In latent space network models this problem boils down to ranking pairs of nodes in the order of increasing latent distances between them. The network model with ... More

How the brain transitions from conscious to subliminal perceptionMar 21 2019We study the transition in the functional networks that characterize the human brains' conscious-state to an unconscious subliminal state of perception by using k-core percolation. We find that the most inner core (i.e., the most connected kernel) of ... More

Mathematical Models of Radicalization and TerrorismMar 20 2019The rapid spread of radical ideologies has led to a world-wide succession of terrorist attacks in recent years. Understanding how extremist tendencies germinate, develop, and drive individuals to action is important from a cultural standpoint, but also ... More

A State-Failure--Network Method to Identify Critical Components in Power SystemsMar 20 2019In order to mitigate cascading failure blackout risks in power systems, the critical components whose failures lead to high blackout risks should be identified. In this paper, such critical components are identified by the state-failure network (SF-network) ... More

Markov Chain Models of Refugee Migration DataMar 19 2019The application of Markov chains to modelling refugee crises is explored, focusing on local migration of individuals at the level of cities and days. As an explicit example we apply the Markov chains migration model developed here to UNHCR data on the ... More

Gender and the Career Outcomes of PhD Astronomers in the United StatesMar 19 2019I analyze the postdoctoral career tracks of a nearly-complete sample of astronomers from 28 United States graduate astronomy and astrophysics programs spanning 13 graduating years (N=1063). A majority of both men and women (65% and 66%, respectively) ... More

Debiasing Community Detection: The Importance of Lowly-Connected NodesMar 19 2019Community detection is an important task in social network analysis, allowing us to identify and understand the communities within the social structures. However, many community detection approaches either fail to assign low degree (or lowly-connected) ... More

Algorithmic complexity of multiplex networksMar 19 2019Multilayer networks preserve full information about the different interactions among the constituents of a complex system, and have recently proven quite useful in modelling transportation networks, social circles, and the human brain. A fundamental and ... More

The Viral State Dynamics of the Discrete-Time NIMFA Epidemic ModelMar 19 2019The majority of research on epidemics relies on models which are formulated in continuous-time. However, real-world epidemic data is gathered and processed in a digital manner, which is more accurately described by discrete-time epidemic models. We analyse ... More

Estimation of crowd density applying wavelet transform and machine learningMar 19 2019We conducted a simple experiment in which one pedestrian passed through a crowded area and measured the body-rotational angular velocity with commercial tablets. Then, we developed a new method for predicting crowd density by applying the continuous wavelet ... More

A Comparative Study of Different Approaches for Tracking Communities in Evolving Social NetworksMar 19 2019In real-world social networks, there is an increasing interest in tracking the evolution of groups of users and detecting the various changes they are liable to undergo. Several approaches have been proposed for this. In studying these approaches, we ... More

Emergent regularities and scaling in armed conflict dataMar 18 2019Large-scale armed conflict is a characteristic feature of modern civilization. The statistics of conflict show remarkable regularities like power law distributions of fatalities and durations, but these properties have remained disparate, albeit prominent, ... More

Body-rotation behavior of pedestrians for collision avoidance in passing and cross flowMar 18 2019We observe body-rotation behavior of pedestrians to avoid others when they are moving in congested situations. In such cases, body orientation often differs from walking direction, i.e., pedestrians step sideways. In this paper, we focused on a deviation ... More

Quantifying dynamics of failure across science, startups, and securityMar 18 2019Human achievements are often preceded by repeated attempts that initially fail, yet little is known about the mechanisms governing the dynamics of failure. Here, building on the rich literature on innovation, human dynamics and learning, we develop a ... More

Efficient vaccination strategies for epidemic control using network informationMar 18 2019Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be made based on partial network information. We investigated how the accuracy ... More

Classes of random walks on temporal networksMar 18 2019Random walks find applications in many areas of science and are the heart of essential network analytic tools. When defined on temporal networks, even basic random walk models may exhibit a rich spectrum of possibilities, due to the co-existence of different ... More

Extraction Urban Clusters from Geospatial Data: A Case Study from SwitzerlandMar 18 2019Different techniques were developed to extract urban agglomerations from a big dataset. The urban agglomerations are used to understand the structure and growth of cities. However, the major challenge is to extract urban agglomerations from big data, ... More

Multi-dimensional Urban Network PercolationMar 17 2019Network percolation has recently been proposed as a method to characterize the global structure of an urban system form the bottom-up. This paper proposes to extend urban network percolation in a multi-dimensional way, to take into account both urban ... More

Early-career setback and future career impactMar 16 2019Setbacks are an integral part of a scientific career, yet little is known about whether an early-career setback may augment or hamper an individual's future career impact. Here we examine junior scientists applying for U.S. National Institutes of Health ... More

Homogeneous symmetrical threshold model with nonconformity: independence vs. anticonformityMar 15 2019We study two variants of the modified Watts threshold model with a noise (with nonconformity, in the terminology of social psychology) on a complete graph. Within the first version, a noise is introduced via so-called independence, whereas in the second ... More

Unraveling the Origin of Social Bursts in Collective AttentionMar 15 2019In the era of social media, every day billions of individuals produce content in socio-technical systems resulting in a deluge of information. However, human attention is a limited resource and it is increasingly challenging to consume the most suitable ... More

Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System: Model Presentation and Case Study on EvenstadMar 15 2019Zero Emission Neighborhoods (ZEN) is a concept studied in Norway to reduce the CO_2 emission of neighborhoods. One question coming along this concept is how to design the energy system of such neighborhoods to fit the ZEN definition. From this definition ... More

Fast influencers in complex networksMar 15 2019Influential nodes in complex networks are typically defined as those nodes that maximize the asymptotic reach of a spreading process of interest. However, for practical applications such as viral marketing and online information spreading, one is often ... More

Co-Contagion Diffusion on Multilayer NetworksMar 15 2019We study the interface of three elements of diffusion: the synergy between contagions, the dormancy rate of each individual contagion, and the multiplex network topology. Dormancy is defined as a weaker form of "immunity," where dormant nodes no longer ... More

Syntgen: A system to generate temporal networks with user specified topologyMar 14 2019Network representations can help reveal the behavior of complex systems. Useful information can be derived from the network properties and invariants, such as components, clusters or cliques, as well as from their changes over time. The evolution of clusters ... More

Profile Closeness in Complex NetworksMar 14 2019We introduce a new centrality measure, known as profile closeness, for complex networks. This network attribute originates from the graph-theoretic analysis of consensus problems. We also demonstrate its relevance in inferring the evolution of network ... More

Accumulation charts for instant-runoff electionsMar 14 2019We propose a new graphical format for instant-runoff voting election results. We call this proposal an "accumulation chart." This model, a modification of standard bar charts, is easy to understand, clearly indicates the winner, depicts the instant-runoff ... More

A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field GamesMar 14 2019A transportation system with fully autonomous vehicles can be modeled as a multi-agent system, where autonomous vehicles interact with one another through coupled optimal driving strategies. However, the existing literature on autonomous vehicle longitudinal ... More

The Rock--Paper--Scissors GameMar 14 2019Rock-Paper-Scissors (RPS), a game of cyclic dominance, is not merely a popular children's game but also a basic model system for studying decision-making in non-cooperative strategic interactions. Aimed at students of physics with no background in game ... More

What could re-infection tell us about R0? a modeling case-study of syphilis transmissionMar 14 2019Many infectious diseases can lead to re-infection. We examined the relationship between the prevalence of repeat infection and the basic reproductive number (R0). First we solved a generic, deterministic compartmental model of re-infection to derive an ... More

Interacting spreading processes in multilayer networksMar 14 2019The world of network science is fascinating and filled with complex phenomena that we aspire to understand. One of them is the dynamics of spreading processes over complex networked structures. Building the knowledge-base in the field where we can face ... More

On the Perturbation of Self-Organized Urban Street NetworksMar 13 2019We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems subject to a Boltzmann-mesoscopic entropy conservation. For self-organized ... More

Demarcating Geographic Regions using Community Detection in Commuting NetworksMar 13 2019We aim to find agglomerations of U.S. counties that are partitioned by commuting patterns by representing inter-county commuting patterns as a weighted network. We develop and use a community detection method based on the configuration model to identify ... More

A combined first and second order traffic network modelMar 12 2019Second order macroscopic traffic flow models are well-known to be able to reproduce the so-called capacity drop effect, i.e., the phenomenon that the outflow of a congested region is substantially lower than the maximum achievable flow in this particular ... More

Empirical analysis of the variability in the flow-density relationship for smart motorwaysMar 12 2019The fundamental diagram is an assumed functional relationship between traffic flow and traffic density. In practice, this relationship is noisy and exhibits significant statistical variability. On smart motorways, this variability is increased by variable ... More

Statistical Physics Of Opinion Formation: is it a SPOOF?Mar 12 2019We present a short review based on the nonlinear $q$-voter model about problems and methods raised within statistical physics of opinion formation (SPOOF). We describe relations between models of opinion formation, developed by physicists, and theoretical ... More

Implications of regional differences in costs for capital on the optimal design of power systems with ambitious CO2 reduction targetsMar 12 2019In order to reduce greenhouse gas emissions of the power sector, high shares of renewable power sources need to be integrated into existing systems. This will require vast amounts of investments. It has been shown that costs for the capital needed for ... More

Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition PredictionMar 12 2019The prediction of urban vehicle flow and speed can greatly facilitate people's travel, and also can provide reasonable advice for the decision-making of relevant government departments. However, due to the spatial, temporal and hierarchy of vehicle flow ... More

A subset selection based approach to finding important structure of complex networksMar 11 2019Most of the real world networks such as the internet network, collaboration networks, brain networks, citation networks, powerline and airline networks are very large and to study their structure, and dynamics one often requires working with large connectivity ... More

Scaling in Words on TwitterMar 11 2019Scaling properties of language are a useful tool for understanding generative processes in texts. We investigate the scaling relations in citywise Twitter corpora coming from the Metropolitan and Micropolitan Statistical Areas of the United States. We ... More

Paradox of integration -- Dynamics of two-dimensional statusMar 11 2019According to Peter M. Blau [Exchange and Power in Social Life, Wiley and Sons, p. 43], the process of integration of a newly formed group has a paradoxical aspect: most attractive individuals are rejected because they raise fear of rejection. Often, their ... More

Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data setMar 11 2019This work provides a comprehensive analysis on naturalistic driving behavior for highways based on the highD data set. Two thematic fields are considered. First, some macroscopic and microscopic traffic statistics are provided. These include the traffic ... More

Can Adversarial Network Attack be Defended?Mar 11 2019Machine learning has been successfully applied to complex network analysis in various areas, and graph neural networks (GNNs) based methods outperform others. Recently, adversarial attack on networks has attracted special attention since carefully crafted ... More

Turing patterns mediated by network topology in homogeneous active systemsMar 09 2019Mechanisms of pattern formation---of which the Turing instability is an archetype---constitute an important class of dynamical processes occurring in biological, ecological and chemical systems. Recently, it has been shown that the Turing instability ... More

Longest Path in the Price ModelMar 08 2019The Price model, the directed version of the Barab\'{a}si-Albert model, produces a growing directed acyclic graph. We look at variants in which directed edges are added to the new vertex in one of two ways: using cumulative advantage (preferential attachment) ... More

Online division of labour: emergent structures in Open Source SoftwareMar 08 2019The development Open Source Software fundamentally depends on the participation and commitment of volunteer developers to progress. Several works have presented strategies to increase the on-boarding and engagement of new contributors, but little is known ... More

Transition from endemic behavior to eradication of malaria due to combined drug therapies: an agent-model approachMar 08 2019We introduce an agent-based model describing a susceptible-infectious-susceptible (SIS) system of humans and mosquitoes to predict malaria epidemiological scenarios in realistic biological conditions. Emphasis is given to the transition from endemic behavior ... More

Urban Scaling in Denmark, Germany, and the Netherlands. Relation with Governance StructuresMar 07 2019We investigate the socioeconomic urban scaling behavior in Denmark, Germany, and the Netherlands. In the case of Denmark we examine the scaling of larger cities, municipalities within the Copenhagen agglomeration, and municipalities in rural areas. We ... More

Trip Centrality: walking on a temporal multiplex with non-instantaneous link travel timeMar 07 2019In complex networks, centrality metrics quantify the connectivity of nodes and identify the most important ones in the transmission of signals. In many real world networks, especially in transportation systems, links are dynamic, i.e. their presence depends ... More

Generosity, selfishness and exploitation as optimal greedy strategies for resource sharingMar 07 2019There is increasing evidence that fairness and generosity are not exclusive human traits. Indeed, several experiments on chimpanzees, monkeys and other mammals show an inequity-aversion behavior. Namely, if some valuable resource, e.g. food, is unevenly ... More

Structure-Preserving Community In A Multilayer Network: Definition, Detection, And AnalysisMar 06 2019Multilayer networks or MLNs (also called multiplexes or network of networks) are being used extensively for modeling and analysis of data sets with multiple entity and feature types as well as their relationships. As the concept of communities and hubs ... More

Evolutionary Dynamics of Cultural Memes and Application to Massive Movie DataMar 06 2019The profound impact of Darwin's theory of evolution on biology has led to the acceptance of the theory in many complex systems that lie well beyond its original domain. Culture is one example that also exhibits key Darwinian evolutionary properties: Differential ... More

Consensus ranking for multi-objective interventions in multiplex networksMar 05 2019High-centrality nodes have disproportionate influence on the behavior of a network; therefore controlling such nodes can efficiently steer the system to a desired state. Existing multiplex centrality measures typically rank nodes assuming the layers are ... More

Gaps in Information Access in Social NetworksMar 05 2019The study of influence maximization in social networks has largely ignored disparate effects these algorithms might have on the individuals contained in the social network. Individuals may place a high value on receiving information, e.g. job openings ... More

Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE dataMar 05 2019Using the United Nations COMTRADE database we apply the reduced Google matrix (REGOMAX) algorithm to analyze the multiproduct world trade in years 2004-2016. Our approach allows to determine the trade balance sensitivity of a group of countries to a specific ... More

Analysing Motifs in Multilayer NetworksMar 05 2019Network motifs can capture basic interaction patterns and inform the functional properties of networks. However, real-world complex systems often have multiple types of relationships, which cannot be represented by a monolayer network. The multilayer ... More

The global benefit of randomness in individual routing on transportation networksMar 05 2019By introducing a simple model based on two-dimensional cellular automata, we reveal the relationship between the routing strategies of individual vehicles and the global behavior of transportation networks. Specifically, we characterize the routing strategies ... More

Towards the cycle structures in complex network: A new perspectiveMar 04 2019Mar 05 2019Stars and cycles are basic structures in network construction. The former has been well studied in network analysis, while the latter attracted rare attention. A node together with its neighbors constitute a neighborhood star-structure where the basic ... More

Towards the cycle structures in complex network: A new perspectiveMar 04 2019Mar 12 2019Stars and cycles are basic structures in network construction. The former has been well studied in network analysis, while the latter attracted rare attention. A node together with its neighbors constitute a neighborhood star-structure where the basic ... More

Perception, Prestige and PageRankMar 04 2019Academic esteem is difficult to quantify in objective terms. Network theory offers the opportunity to use a mathematical formalism to model both the esteem associated with an academic and the relationships between academic colleagues. Early attempts using ... More

The politics of physicists social modelsMar 03 2019I give an overview of the topic of this special issue, the applications of (statistical) physics to social sciences at large. I discuss several examples of simple social models put forward by physicists and discuss their interest. I argue that while they ... More

Piketty's second fundamental law of capitalism as an emergent property in a kinetic wealth-exchange model of economic growthMar 03 2019We propose in this work a kinetic wealth-exchange model of economic growth by introducing saving as a non consumed fraction of production. In this new model, which starts also from microeconomic arguments, it is found that economic transactions between ... More

Piketty's second fundamental law of capitalism as an emergent property in a kinetic wealth-exchange model of economic growthMar 03 2019Mar 06 2019We propose in this work a kinetic wealth-exchange model of economic growth by introducing saving as a non consumed fraction of production. In this new model, which starts also from microeconomic arguments, it is found that economic transactions between ... More

Cryptocurrency market structure: connecting emotions and economicsMar 03 2019We study the dependency and causality structure of the cryptocurrency market investigating collective movements of both prices and social sentiment related to almost two thousand cryptocurrencies traded during the first six months of 2018. This is the ... More

Selective Exposure shapes the Facebook News DietMar 02 2019The social brain hypothesis fixes to 150 the number of social relationships we are able to maintain. Similar cognitive constraints emerge in several aspects of our daily life, from our mobility up to the way we communicate, and might even affect the way ... More

Sharp decomposition of interdependent multiplex networks by percolationMar 01 2019Determining the design principles that boost robustness of multiplex networks is a fundamental question in engineering, economics, and biology. It is known that maximizing the correlations between degrees of the same node in different layers leads to ... More

Frictional Unemployment on Labor Flow NetworksMar 01 2019We develop an alternative theory to the aggregate matching function in which workers search for jobs through a network of firms: the labor flow network. The lack of an edge between two companies indicates the impossibility of labor flows between them ... More

Maximizing spreading influence via measuring influence overlap for social networksMar 01 2019Influence overlap is a universal phenomenon in influence spreading for social networks. In this paper, we argue that the redundant influence generated by influence overlap cause negative effect for maximizing spreading influence. Firstly, we present a ... More

ABMS of social network based on affinityFeb 28 2019An agent-based model is proposed for analyzing the dynamics that arise from interactions within social networks, analyzing the individual behavior of each profile. Said model considers a simplified construction of a social network while satisfying properties ... More

High Degree Vertices and Spread of Infections in Spatially Modelled Social NetworksFeb 28 2019We examine how the behaviour of high degree vertices in a network affects whether an infection spreads through communities or jumps between them. We study two stochastic susceptible-infected-recovered (SIR) processes and represent our network with a spatial ... More

Cyber-physical risks of hacked Internet-connected vehiclesFeb 28 2019The integration of automotive technology with Internet-connectivity promises to both dramatically improve transportation, while simultaneously introducing the potential for new unknown risks. Internet-connected vehicles are like digital data because they ... More

Quantum walk inspired algorithm for graph similarity and isomorphismFeb 28 2019Large scale complex systems, such as social networks, electrical power grid, database structure, consumption pattern or brain connectivity, are often modeled using network graphs. Valuable insight can be gained by measuring the similarity between network ... More

A note on general epidemic region for infinite regular graphsFeb 28 2019We study the contagion game with the bilingual option on infinite regular graphs introduced and modeled mathematically in [N. Immorlica et al. (2007)]. In the reference, Immorlica et al. studied conditions for an innovation to become epidemic over infinite ... More

Economic resilience from input-output susceptibility improves predictions of economic growth and recoveryFeb 27 2019Modern macroeconomic theories were unable to foresee the last Great Recession and could neither predict its prolonged duration nor the recovery rate. They are based on supply-demand equilibria that do not exist during recessionary shocks. Here we focus ... More

Leveraging Motifs to Model the Temporal Dynamics of Diffusion NetworksFeb 27 2019Information diffusion mechanisms based on social influence models are mainly studied using likelihood of adoption when active neighbors expose a user to a message. The problem arises primarily from the fact that for the most part, this explicit information ... More

Prediction of the disease controllability in a complex network using machine learning algorithmsFeb 26 2019The application of machine learning (ML) techniques spans a vast spectrum of applications ranging from speech, face and character recognition to medical diagnosis to anomaly detection in data and the general classification, prediction and regression problems. ... More

Quantum statistics in Network Geometry with Fractional FlavorFeb 26 2019Growing network models have been shown to display emergent quantum statistics when nodes are associated to a fitness value describing the intrinsic ability of a node to acquire new links. Recently it has been shown that quantum statistics emerge also ... More

Economic geography and the scaling of urban and regional income in IndiaFeb 26 2019We undertake an exploration of the economic income (Gross Domestic Product, GDP) of Indian districts and cities based on scaling analyses of the dependence of these quantities on associated population size. Scaling analysis provides a straightforward ... More

Community structure in co-inventor networks affects time to first citation for patentsFeb 26 2019We have investigated community structure in the co-inventor network of a given cohort of patents and related this structure to the dynamics of how these patents acquire their first citation. A statistically significant difference in the time lag until ... More

Transforming Collaboration Data into Network Layers for Enhanced AnalyticsFeb 25 2019We consider the problem of automatically generating networks from data of collaborating researchers. The objective is to apply network analysis on the resulting network layers to reveal supplemental patterns and insights of the research collaborations. ... More

Configuration Models of Random Hypergraphs and their ApplicationsFeb 25 2019Mar 19 2019Networks of dyadic relationships between entities have emerged as a dominant paradigm for modeling complex systems. Many empirical "networks" -- such as collaboration networks; co-occurrence networks; and communication networks -- are intrinsically polyadic, ... More

Configuration Models of Random Hypergraphs and their ApplicationsFeb 25 2019Networks of dyadic relationships between entities have emerged as a dominant paradigm for modeling complex systems. Many empirical "networks" -- such as collaboration networks; co-occurence networks; and communication networks -- are intrinsically polyadic, ... More

Heterogeneity and Instability in the Stable Marriage ProblemFeb 25 2019The Stable Marriage Problem (SMP) has been extremely discussed in the literature and it is useful to a number of real-world applications. We propose a generalized version of the SMP in which numbers of the matching groups are different as in [9]. However, ... More

Diversity and its decomposition into variety, balance and disparityFeb 25 2019Feb 26 2019Diversity is a central concept in many fields. Despite its importance, there is no unified methodological framework to measure diversity and its three components of variety, balance and disparity. Current approaches take into account disparity of the ... More

Snowboot: Bootstrap Methods for Network InferenceFeb 24 2019Complex networks are used to describe a broad range of disparate social systems and natural phenomena, from power grids to customer segmentation to human brain connectome. Challenges of parametric model specification and validation inspire a search for ... More

Meeting Global Cooling Demand with Photovoltaics during the 21st CenturyFeb 24 2019Space conditioning, and cooling in particular, is a key factor in human productivity and well-being across the globe. During the 21st century, global cooling demand is expected to grow significantly due to the increase in wealth and population in sunny ... More

The optimal geometry of transportation networksFeb 23 2019Motivated by the shape of transportation networks such as subways, we consider a distribution of points in the plane and ask for the network $G$ of given length $L$ that is optimal in a certain sense. In the general model, the optimality criterion is ... More

Trajectories of Blocked Community Members: Redemption, Recidivism and DepartureFeb 22 2019Community norm violations can impair constructive communication and collaboration online. As a defense mechanism, community moderators often address such transgressions by temporarily blocking the perpetrator. Such actions, however, come with the cost ... More

Reputation-Driven Voting DynamicsFeb 22 2019We introduce the reputational voter model (RVM) to account for the possibility that there are differing and time-varying abilities of individuals to influence the opinion state of their neighbors. The $i^{\rm th}$ individual can be in one of two voting ... More

Controlling systemic risk - network structures that minimize it and node properties to calculate itFeb 22 2019Evaluation of systemic risk in networks of financial institutions in general requires information of inter-institution financial exposures. In the framework of Debt Rank algorithm, we introduce an approximate method of systemic risk evaluation which requires ... More

Thresholding normally distributed data creates complex networksFeb 21 2019Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clustering, large connected components and short average shortest path lengths. ... More

Kinetic modeling of alcohol consumptionFeb 21 2019In most countries, alcohol consumption distributions have been shown to possess universal features. Their unimodal right-skewed shape is usually modeled in terms of the Lognormal distribution, which is easy to fit, test, and modify. However, empirical ... More

What is the central bank of Wikipedia?Feb 21 2019We analyze the influence and interactions of 60 largest world banks for 195 world countries using the reduced Google matrix algorithm for the English Wikipedia network with 5 416 537 articles. While the top asset rank positions are taken by the banks ... More

Cross-frequency interactions during diffusion on complex brain networks are facilitated by scale-free propertiesFeb 21 2019Mar 14 2019We studied the interactions between different temporal scales of diffusion processes on complex networks and found them to be stronger in scale-free (SF) than in Erdos-Renyi (ER) networks, especially for the case of phase-amplitude coupling (PAC)-the ... More

Cross-frequency interactions during diffusion on complex networks are facilitated by scale-free propertiesFeb 21 2019We studied the interactions between different temporal scales of diffusion processes on complex networks and found them to be stronger in scale-free (SF) than in Erdos-Renyi (ER) networks, especially for the case of phase-amplitude coupling (PAC)-the ... More

Analysis of the Wikipedia Network of MathematiciansFeb 20 2019Feb 21 2019We look at the network of mathematicians defined by the hyperlinks between their biographies on Wikipedia. We show how to extract this information using three snapshots of the Wikipedia data, taken in 2013, 2017 and 2018. We illustrate how such Wikipedia ... More

The effect of non-Markovian recovery on reversible failure propagation on networksFeb 20 2019Compared with the classical irreversible failure propagation, the spontaneous recovery model can better depict the failure propagation on network systems such as financial and transportation networks. In this paper, we study how the non-Markovian recovery ... More