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Information-theoretic measures for non-linear causality detection: application to social media sentiment and cryptocurrency pricesJun 13 2019Information transfer between time series is calculated by using the asymmetric information-theoretic measure known as transfer entropy. Geweke's autoregressive formulation of Granger causality is used to find linear transfer entropy, and Schreiber's general, ... More

Rate of change of frequency under line contingencies in high voltage electric power networks with uncertaintiesJun 13 2019In modern electric power networks with fast evolving operational conditions, assessing the impact of contingencies is becoming more and more crucial. Contingencies of interest can be roughly classified into nodal power disturbances and line faults. Despite ... More

An SEIR Epidemic Model where Empirical Distribution of Incubation Period has Approximated by Coxian DistributionJun 13 2019In this work, we have developed a Coxian distributed SEIR model in incorporating an empirical incubation period since Coxian distribution approximately converges to any distribution. A basic reproduction number is found from the model. An application ... More

Understanding Vulnerability of Communities in Complex NetworksJun 12 2019In this paper, we study the crucial elements of complex networks, namely nodes, and edges and their properties such as their community structure, which play an important role in dictating the robustness of the network towards structural perturbations. ... More

Optimizing city-scale traffic flows through modeling isolated observations of vehicle movementsJun 12 2019Mobile phones and the Internet of Things provide unprecedented opportunities for transportation researchers and computational social scientists to observe city-scale human dynamics in terms of millions of vehicles or people moving around. They also enable ... More

Lorentzian geometry based analysis of airplane boarding policies highlights slow passengers first as betterJun 12 2019We study airplane boarding in the limit of large number of passengers using geometric optics in a Lorentzian metric. The airplane boarding problem is naturally embedded in a 1+1 dimensional space-time with a flat Lorentzian metric. The duration of the ... More

Lifetime of a greedy forager with long-range smellJun 12 2019We study a greedy forager who consumes food throughout a region. If the forager does not eat any food for $S$ time steps it dies. We assume that the forager moves preferentially in the direction of greatest smell of food. Each food item in a given direction ... More

Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal NetworksJun 11 2019We recently introduced a formalism for the modeling of temporal networks, that we call stream graphs. It emphasizes the streaming nature of data and allows rigorous definitions of many important concepts generalizing classical graphs. This includes in ... More

Achieving competitive advantage in academia through early career coauthorship with top scientistsJun 11 2019We quantify the long term impact that the coauthorship with established top-cited scientists has on the career of junior researchers in four different scientific disciplines. Through matched pair analysis, we find that junior researchers who coauthor ... More

Decision Dynamics in Groups with Interacting MembersJun 11 2019Group decisions involve the combination of evidence accumulation by individual members and direct member-to-member interactions. We consider a simplified framework of two deciders, each undergoing a two alternative forced choice task, with the choices ... More

The shape of shortest paths in random spatial networksJun 10 2019In the classic model of first passage percolation, for pairs of vertices separated by a Euclidean distance $L$, geodesics exhibit deviations from their mean length $L$ that are of order $L^\chi$, while the transversal fluctuations, known as wandering, ... More

Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrixJun 10 2019We study the stochastic susceptible-infected-susceptible model of epidemic processes on finite networks with arbitrary structure. We present a new lower bound on the exponential rate at which the probabilities of nodes being infected decay over time. ... More

Altruism in populations at the extinction transitionJun 10 2019We study the evolution of cooperation as a birth-death process in spatially extended populations. The benefit from the altruistic behavior of a cooperator is implemented by decreasing the death rate of its direct neighbours. The cost of cooperation is ... More

Intertemporal Community Detection in Bikeshare NetworksJun 10 2019We investigate the changes in the patterns of usage in the \textit{Divvy} bikeshare system in Chicago from 2016-2018. We devise a community detection method that finds clusters of nodes that are increasing, decreasing, or stable in connectivity across ... More

Automation and occupational mobility: A data-driven network modelJun 10 2019Many existing jobs are prone to automation, but since new technologies also create new jobs it is crucial to understand job transitions. Based on empirical data we construct an occupational mobility network where nodes are occupations and edges represent ... More

The key to the weak-ties phenomenonJun 09 2019The study of the weak-ties phenomenon has a long and well documented history, research into the application of this social phenomenon has recently attracted increasing attention. However, further exploration of the reasons behind the weak-ties phenomenon ... More

Corrected overlap weight and clustering coefficientJun 09 2019We discuss two well known network measures: the overlap weight of an edge and the clustering coefficient of a node. For both of them it turns out that they are not very useful for data analytic task to identify important elements (nodes or links) of a ... More

A hyperbolic Embedding Model for Directed NetworksJun 09 2019Network embedding is a fervid topic in current networks science and observes that most real complex systems can be embedded in hidden metrics space and emerge as the geometrical property, where the geometric distance between nodes determines the likelihood ... More

Impact of temporal connectivity patterns on epidemic processJun 08 2019To provide a comprehensive view for dynamics of and on many real-world temporal networks, we investigate the interplay of temporal connectivity patterns and spreading phenomena, in terms of the susceptible-infected-removed (SIR) model on the modified ... More

Symmetry Induced Group ConsensusJun 07 2019There has been substantial work studying consensus problems for which there is a single common final state, although there are many real-world complex networks for which the complete consensus may be undesirable. More recently, the concept of group consensus ... More

Synchronization of complex human networksJun 07 2019The synchronization of human networks is essential for our civilization, and understanding the motivations, behavior, and basic parameters that govern the dynamics of human networks is important in many aspects of our lives. Human ensembles have been ... More

Approximate Identification of the Optimal Epidemic Source in Complex NetworksJun 07 2019Jun 10 2019We consider the problem of identifying the source of an epidemic, spreading through a network, from a complete observation of the infected nodes in a snapshot of the network. Previous work on the problem has often employed geometric, spectral or heuristic ... More

Approximate Identification of the Optimal Epidemic Source in Complex NetworksJun 07 2019Jun 12 2019We consider the problem of identifying the source of an epidemic, spreading through a network, from a complete observation of the infected nodes in a snapshot of the network. Previous work on the problem has often employed geometric, spectral or heuristic ... More

How a Single Paper Affects the Impact Factor: Implications for Scholarly PublishingJun 06 2019Because the Impact Factor (IF) is an average quantity and most journals are small, IFs are volatile. We study how a single paper affects the IF using data from 11639 journals in the 2017 Journal Citation Reports. We define as volatility the IF gain (or ... More

The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to oneJun 06 2019We study a learning dynamic model of routing (congestion) games to explore how an increase in the total demand influences system performance. We focus on non-atomic routing games with two parallel edges of linear cost, where all agents evolve using Multiplicative ... More

The emerging sectoral diversity of startup ecosystemsJun 06 2019Thanks to the recent availability of comprehensive and detailed online databases of startup companies, it has become possible to more directly investigate startup ecosystems i.e. startup populations in specific regions. In this paper, we analyze the emergence ... More

Indirect interactions influence contact network structure and diffusion dynamicsJun 06 2019Interaction patterns at the individual level influence the behaviour of diffusion over contact networks. Most of the current diffusion models only consider direct interactions among individuals to build underlying infectious items transmission networks. ... More

A Statistical Density-Based Analysis of Graph Clustering Algorithm PerformanceJun 06 2019Measuring graph clustering quality remains an open problem. To address it, we introduce quality measures based on comparisons of intra- and inter-cluster densities, an accompanying statistical test of the significance of their differences and a step-by-step ... More

A Statistical Density-Based Analysis of Graph Clustering Algorithm PerformanceJun 06 2019Jun 11 2019Measuring graph clustering quality remains an open problem. To address it, we introduce quality measures based on comparisons of intra- and inter-cluster densities, an accompanying statistical test of the significance of their differences and a step-by-step ... More

Modeling Responsible EliteJun 05 2019Within the ViSE (Voting in Stochastic Environment) model, we study social dynamics determined by collective decisions in a society with an elite. The model allows analyzing the influence of participants' social attitudes, such as selfishness, collectivism, ... More

Modeling Responsible EliteJun 05 2019Jun 06 2019Within the ViSE (Voting in Stochastic Environment) model, we study social dynamics determined by collective decisions in a society with an elite. The model allows analyzing the influence of participants' social attitudes, such as selfishness, collectivism, ... More

The temporal evolution of venture investment strategies in sector spaceJun 05 2019We analyze the sectoral dynamics of startup venture financing. Based on a dataset of 52000 start-ups and 110000 funding rounds in the United States from 2000 to 2017, and by applying both Principal Component Analysis (PCA) and Tensor Component Analysis ... More

Compartmental voter modelJun 05 2019Numerous models in opinion dynamics focus on the temporal dynamics within a single spatial unit (e.g., country). While the opinions are often observed across multiple spatial units (e.g., polling stations) at a single point in time (e.g., elections). ... More

Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networksJun 04 2019Over the past several decades in the US Congress, there has been a decline in the fraction of bills introduced that eventually become law. This decline in legislative effectiveness has occurred in parallel with rising levels of political polarization, ... More

Optimal coding and the origins of Zipfian lawsJun 04 2019The problem of compression in standard information theory consists of assigning codes as short as possible to numbers. Here we consider the problem of optimal coding -- under an arbitrary coding scheme -- and show that it predicts Zipf's law of abbreviation, ... More

Trading in Complex NetworksJun 04 2019Global supply networks in agriculture, manufacturing, and services are a defining feature of the modern world. The efficiency and the distribution of surpluses across different parts of these networks depend on choices of intermediaries. This paper conducts ... More

MEDEAS-World model calibration for the study of the energy transitionJun 04 2019MEDEAS (Modelling the Energy Development under Environmental And Socioeconomic constraint) World is a new global-aggregated energy-economy-environmental model, which runs from 1995 to 2050. In this work, we tested the MEDEAS world model to reproduce the ... More

Contagion in Bitcoin networksJun 04 2019We construct the Google matrices of bitcoin transactions for all year quarters during the period of January 11, 2009 till April 10, 2013. During the last quarters the network size contains about 6 million users (nodes) with about 150 million transactions. ... More

Interacting contagions are indistinguishable from social reinforcementJun 04 2019From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source. Contrarily, biological agents such as Ebola or measles are typically ... More

Implication Avoiding Dynamics for Externally Observed NetworksJun 03 2019Previous network models have imagined that connections change to promote structural balance, or to reflect hierarchies. We propose a model where agents adjust their connections to appear credible to an external observer. In particular, we envision a signed, ... More

Human information processing in complex networksJun 03 2019Humans communicate using systems of interconnected stimuli or concepts -- from language and music to literature and science -- yet it remains unclear how, if at all, the structure of these networks supports the communication of information. Although information ... More

How does active participation effect consensus: Adaptive network model of opinion dynamics and influence maximizing rewiringJun 03 2019In this paper we study the impact of active participation -- or deliberately seeking out other agents with an aim to convince them -- on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which two processes ... More

The Strength of Structural Diversity in Online Social NetworksJun 03 2019Network structure is thought to play a crucial role in a variety of social processes, ranging from the diffusion of information to the spread of social behaviors and norms. As such, understanding the way individuals are interconnected in social networks ... More

A gender analysis of top scientists' collaboration behavior: evidence from ItalyJun 03 2019This work analyzes the differences in collaboration behavior between males and females among a particular type of scholars: top scientists, and as compared to non top scientists. The field of observation consists of the Italian academic system and the ... More

Evaluating network partitions through visualizationJun 03 2019Jun 04 2019Network clustering requires making many decisions manually, such as the number of groups and a statistical model to be used. Even after filtering using an information criterion or regularizing with a nonparametric framework, we are commonly left with ... More

A simple contagion process describes spreading of traffic jams in urban networksJun 03 2019Jun 04 2019The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analysis purposes. In this study, we present a framework to describe the dynamics ... More

Paradox of integration---Cellular automata approachJun 02 2019We discuss the self-deprecating strategy introduced by Peter Blau as one of stages of the process of social integration. Recently we have introduced a two-dimensional space of status, real and surface one ($A$ and $B$), and we have demonstrated that with ... More

Caesium fallout in Tokyo on 15th March, 2011 is dominated by highly radioactive, caesium-rich microparticlesJun 01 2019In order to understand the chemical properties and environmental impacts of low-solubility Cs-rich microparticles (CsMPs) derived from the FDNPP, the CsMPs collected from Tokyo were investigated at the atomic scale using high-resolution transmission electron ... More

Learning the optimally coordinated routes from the statistical mechanics of polymersJun 01 2019Jun 04 2019Many major cities suffer from severe traffic congestion. Road expansion in the cites is usually infeasible, and an alternative way to alleviate traffic congestion is to coordinate the route of vehicles. Various path selection and planning algorithms are ... More

Phase Transition in the Kolkata Paise Restaurant problemMay 30 2019A novel phase transition behavior is observed in the Kolkata Paise Restaurant problem where large number ($N$) of agents or customers or players collectively (and iteratively) learn to choose among the $N$ unranked restaurants where she would be alone ... More

Customer mobility and congestion in supermarketsMay 30 2019The analysis and characterization of human mobility using population-level mobility models is important for numerous applications, ranging from the estimation of commuter flows to modeling trade flows. However, almost all of these applications have focused ... More

Extinction-induced community reorganization in bipartite networksMay 30 2019We study how the community structure of bipartite mutualistic networks changes in a dynamic context. First, we consider a real mutualistic network and introduce extinction events according to several scenarios. We model extinctions as node or interaction ... More

Quantifying the alignment of graph and features in deep learningMay 30 2019We show that the classification performance of Graph Convolutional Networks is related to the alignment between features, graph and ground truth, which we quantify using a subspace alignment measure corresponding to the Frobenius norm of the matrix of ... More

Algorithmic Detection and Analysis of Vaccine-Denialist Sentiment Clusters in Social NetworksMay 30 2019Vaccination rates are decreasing in many areas of the world, and outbreaks of preventable diseases tend to follow in areas with particular low rates. Much research has been devoted to improving our understanding of the motivations behind vaccination decisions ... More

Wright-Fisher-type equations for opinion formation, large time behavior and weighted logarithmic-Sobolev inequalitiesMay 30 2019We study the rate of convergence to equilibrium of the solution of a Fokker--Planck type equation introduced by one of the authors in 2006 to describe opinion formation in a multi-agent system. The main feature of this Fokker--Planck equation is the presence ... More

Non-Maxwellian kinetic equations modeling the evolution of wealth distributionMay 30 2019We introduce a class of new one-dimensional linear Fokker--Planck type equations describing the evolution in time of the wealth in a multi-agent society. The equations are obtained, via a standard limiting procedure, by introducing an economically relevant ... More

Airbnb, hotels, and saturation of the food industry: A multi-scale GWR approachMay 29 2019This paper evaluates the relationship between the food industry and the local variations of temporary accommodation (TAs, including hotels and short-term rentals). The aim is to capture the variance of the local statistic and pinpoint areas where food ... More

Ride-share matching algorithms generate income inequalityMay 29 2019Despite the potential of online sharing economy platforms such as Uber, Lyft, or Foodora to democratize the labor market, these services are often accused of fostering unfair working conditions and low wages. These problems have been recognized by researchers ... More

What They Don't Want: An Analysis of Brexit's First Round of Indicative VotesMay 28 2019Since the result of the 2016 referendum, Brexit has been an unpredictable democratic adventure, the finale of which remains unclear. This year, in the final days of March, parliamentarians seized control of the order paper from the Government and held ... More

What They Don't Want: An Analysis of Brexit's First Round of Indicative VotesMay 28 2019Jun 03 2019Since the result of the 2016 referendum, Brexit has been an unpredictable democratic adventure, the finale of which remains unclear. This year, in the final days of March, parliamentarians seized control of the order paper from the Government and held ... More

Electric Vehicles and their Effect on Network LoadMay 28 2019The composition of the fleet of road cars is changing from fuel powered cars to plug-in hybrid (PHEV) and electrical vehicles (EV). The (electrical) range of these vehicles is limited, leading to so called `range anxiety'. Firstly, this leads to a preference ... More

Counting Causal Paths in Big Times Series Data on NetworksMay 27 2019Graph or network representations are an important foundation for data mining and machine learning tasks in relational data. Many tools of network analysis, like centrality measures, information ranking, or cluster detection rest on the assumption that ... More

Scaling Fine-grained Modularity Clustering for Massive GraphsMay 27 2019Modularity clustering is an essential tool to understand complicated graphs. However, existing methods are not applicable to massive graphs due to two serious weaknesses. (1) It is difficult to fully reproduce ground-truth clusters due to the resolution ... More

Exploring the solution landscape enables more reliable network community detectionMay 27 2019To understand how a complex system is organized and functions, researchers often identify communities in the system's network of interactions. Because it is practically impossible to explore all solutions to guarantee the best one, many community-detection ... More

Does the $h_α$ index reinforce the Matthew effect in science? Agent-based simulations using Stata and RMay 27 2019Recently, Hirsch (2019a) proposed a new variant of the h index called the $h_\alpha$ index. He formulated as follows: "we define the $h_\alpha$ index of a scientist as the number of papers in the h-core of the scientist (i.e. the set of papers that contribute ... More

Unsupervised Euclidean Distance Attack on Network EmbeddingMay 27 2019Considering the wide application of network embedding methods in graph data mining, inspired by the adversarial attack in deep learning, this paper proposes a Genetic Algorithm (GA) based Euclidean Distance Attack strategy (EDA) to attack the network ... More

Discrete Opinion Dynamics with M choicesMay 26 2019Here, I study how to obtain an opinion dynamics model for the case where there are $M$ possible discrete choices and there is need to model how strong each agent choice is. The new model is obtained as an extension of the Continuous Opinions and Discrete ... More

Measuring Directed Triadic Closure with Closure CoefficientsMay 25 2019Recent work studying clustering in undirected graphs has drawn attention to the distinction between measures of clustering that focus on the "center" node of a triangle vs. measures that focus on the "initiator," a distinction with considerable consequences. ... More

Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescenceMay 24 2019Spreading processes are conventionally monitored on a macroscopic level by counting the number of incidences over time. The spreading process can then be modeled either on the microscopic level, assuming an underlying interaction network, or directly ... More

Morphological organization of point-to-point transport in complex networksMay 24 2019We investigate the structural organization of the point-to-point electric, diffusive or hydraulic transport in complex scale-free networks. The random choice of two nodes, a source and a drain, to which a potential difference is applied, selects two tree-like ... More

Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative studyMay 24 2019Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunately, these methods have not been systematically compared; moreover, new ... More

Information parity in complex networksMay 24 2019A growing interest in complex networks theory results in an ongoing demand for new analytical tools. We propose a novel measure based on information theory that provides a new perspective for a better understanding of networked systems: Termed "information ... More

Extended Scale-Free NetworksMay 24 2019Recently, Alderson et al. (2009) mentioned that (strict) Scale-Free networks were rare, in real life. This might be related to the statement of Stumpf, Wiuf & May (2005), that sub-networks of scale-free networks are not scale-free. In the later, those ... More

Extended Scale-Free NetworksMay 24 2019May 28 2019Recently, Broido & Clauset (2019) mentioned that (strict) Scale-Free networks were rare, in real life. This might be related to the statement of Stumpf, Wiuf & May (2005), that sub-networks of scale-free networks are not scale-free. In the later, those ... More

Network properties of healthy and Alzheimer's brainsMay 24 2019Small-world structures are often used to describe structural connections in the brain. In this work, we compare the structural connection of cortical areas of a healthy brain and a brain affected by Alzheimer's disease with artificial small-world networks. ... More

A trust model for spreading gossip in social networksMay 23 2019We introduce here a multi-type bootstrap percolation model, which we call T-Bootstrap Percolation (T-BP), and apply it to study information propagation in social networks. In this model, a social network is represented by a graph G whose vertices have ... More

What is the Entropy of a Social Organization?May 23 2019We quantify a social organization's potentiality, that is its ability to attain different configurations. The organization is represented as a network in which nodes correspond to individuals and (multi-)edges to their multiple interactions. Attainable ... More

Technological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to PatentMay 23 2019This paper contributes to the literature on the impact of Big Science Centres on technological innovation. We exploit a unique dataset with information on CERN's procurement orders to study the collaborative innovation process between CERN and its industrial ... More

Scale-free networks revealed from finite-size scalingMay 23 2019Networks play a vital role in the development of predictive models of physical, biological, and social collective phenomena. A quite remarkable feature of many of these networks is that they are believed to be approximately scale free: the fraction of ... More

Applied hybrid binary mixed logit to investigate pedestrian crossing safety at midblock and unsignalized intersectionMay 22 2019Pedestrian's crossing from unsignalized locations at intersections or midblock locations is a risky decision that could lead to fatal accidents. Despite making a decision to accept a safe gap to cross the street is a personal choice, studying this phenomena ... More

Optimal interlayer structure for information spreading on multilayer networksMay 22 2019Many real-world systems ranging from social, biological to infrastructures can be modeled by multilayer networks. Promoting information spreading on multilayer networks has significant contributions in conducting advertisements for e-commercial products ... More

Blind identification of stochastic block models from dynamical observationsMay 22 2019We consider a blind identification problem in which we aim to recover a statistical model of a network without knowledge of the network's edges, but based solely on nodal observations of a certain process. More concretely, we focus on observations that ... More

Renormalization group for link percolation on planar hyperbolic manifoldsMay 21 2019Network geometry is currently a topic of growing scientific interest as it opens the possibility to explore and interpret the interplay between structure and dynamics of complex networks using geometrical arguments. However the field is still in its infancy. ... More

Concurrency and reachability in tree-like temporal networksMay 21 2019Network properties govern the rate and extent of various spreading processes, from simple contagions to complex cascades. Recently, the analysis of spreading processes has been extended from static networks to temporal networks, where nodes and links ... More

Evolving nature of human contact networks with its impact on epidemic processesMay 21 2019Human contact networks are constituted by a multitude of individuals and pairwise contacts among them. However, the dynamic nature, which generates the evolution of human contact networks, of contact patterns is not known yet. Here, we analyse three empirical ... More

Percolation on a maximally disassortative networkMay 21 2019We propose a maximally disassortative (MD) network model which realizes a maximally negative degree-degree correlation, and study its percolation transition to discuss the effect of a strong degree-degree correlation on the percolation critical behaviors. ... More

Persistent Threshold Dynamics with Recovery in Complex NetworksMay 20 2019Threshold rules of spreading in binary-state networks lead to cascades. We study persistent cascade-recovery dynamics on quasi-robust networks, i.e., networks which are robust against small trigger but may collapse for larger one. It is observed that ... More

Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic informationMay 20 2019Accurate modelling of local population movement patterns is a core contemporary concern for urban policymakers, affecting both the short term deployment of public transport resources and the longer term planning of transport infrastructure. Yet, while ... More

Simulation of Pedestrian Evacuation Using Conjugated Forces Model to Explore the Optimal Bypassing StrategyMay 20 2019The conjugated forces model (CFM) capable of reproducing bypassing behaviour is proposed and adopted to simulate pedestrian evacuation. Primarily, the concept of collision and evading and surpassing behaviour is particularly defined to describe the proposed ... More

No-boarding buses: Synchronisation for efficiencyMay 18 2019We investigate a no-boarding policy in a system of $N$ buses serving $M$ bus stops in a loop, which is an entrainment mechanism to keep buses synchronised in a reasonably staggered configuration. Buses always allow alighting, but would disallow boarding ... More

Nestedness in complex networks: Observation, emergence, and implicationsMay 18 2019The observed architecture of ecological and socio-economic networks differs significantly from that of random networks. From a network science standpoint, non-random structural patterns observed in real networks call for an explanation of their emergence ... More

The configuration model for Barabasi-Albert networksMay 17 2019We develop and test a rewiring method (originally proposed by Newman) which allows to build random networks having pre-assigned degree distribution and two-point correlations. For the case of scale-free degree distributions, we discretize the tail of ... More

Exploration methods for simulation modelsMay 17 2019We first recall in this chapter to what extent simulation models are an absolute necessity in social sciences and humanities, which can only very exceptionally require to experimental sciences methods to construct their knowledge. The formalisation through ... More

Interconnections between networks act like an external field in first-order percolation transitionsMay 16 2019Many interdependent, real-world infrastructures involve interconnections between different communities or cities. Here we study if and how the effects of such interconnections can be described as an external field for interdependent networks experiencing ... More

Emergence of Exploitation as Symmetry Breaking in Iterated Prisoner's DilemmaMay 16 2019In society, mutual cooperation, defection, and asymmetric exploitative relationships are common. Whereas cooperation and defection are studied extensively in the literature on game theory, asymmetric exploitative relationships between players are little ... More

Control complexity: Diversity of structural controllability of complex networks with given degree sequenceMay 16 2019The necessary number of external signals or driver nodes needed to control a complex network has emerged as an important measure of controllability. Here, we investigate how the degree sequence of directed networks constrains the number of driver nodes. ... More

Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO dataMay 16 2019We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO world network of economic activities. This approach allows to determine interdependences and interactions of economy sectors of several countries, including ... More

Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO dataMay 16 2019Jun 03 2019We apply the recently developed reduced Google matrix algorithm for the analysis of the OECD-WTO world network of economic activities. This approach allows to determine interdependences and interactions of economy sectors of several countries, including ... More

Impact of Network Topology on the Stability of DC Power GridsMay 15 2019We probe the stability of Watts-Strogatz DC power grids, in which droop-controlled producers, constant power load consumers and power lines obey Kirchhoff's circuit laws. The concept of survivability is employed to evaluate the system's response to voltage ... More

Experimental study on the evading behavior of individual pedestrians when confronting with an obstacle in a corridorMay 15 2019In this paper, controlled experiments have been conducted to make deep analysis on the obstacle evading behavior of individual pedestrians affected by one obstacle. Results of Fourier Transform show that with the increase of obstacle width, the frequency ... More