Latest in physics.soc-ph

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Two Decades of Network Science as seen through the co-authorship network of network scientistsAug 22 2019Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barab\'asi & Albert and Girvan & Newman published their highly-cited seminal papers on small-world networks, on scale-free networks and on ... More
On the Structural Properties of Social Networks and their Measurement-calibrated Synthetic CounterpartsAug 22 2019Data-driven analysis of large social networks has attracted a great deal of research interest. In this paper, we investigate 120 real social networks and their measurement-calibrated synthetic counterparts generated by four well-known network models. ... More
Emergence of moderate opinions as a consequence of group pressureAug 21 2019In this work we study a continuous opinion dynamics model considering 3-agent interactions and group pressure. Agents interact in a fully-connected population, and two parameters govern the dynamics: the agents' convictions $\lambda$, that are homogeneous ... More
Finding the right scale of a network: Efficient identification of causal emergence through spectral clusteringAug 20 2019All networks can be analyzed at multiple scales. A higher scale of a network is made up of macro-nodes: subgraphs that have been grouped into individual nodes. Recasting a network at higher scales can have useful effects, such as decreasing the uncertainty ... More
Predicting publication productivity for researchers: a piecewise Poisson modelAug 20 2019Predicting the scientific productivity of researchers is a basic task for academic administrators and funding agencies. This study provided a model for the publication dynamics of researchers, inspired by the distribution feature of researchers' publications ... More
How the geometry of cities explains urban scaling laws and determines their exponentsAug 20 2019Urban scaling laws relate socio-economic, behavioral, and physical variables to the population size of cities and allow for a new paradigm of city planning, and an understanding of urban resilience and economies. Independently of culture and climate, ... More
Social media usage reveals how regions recover after natural disasterAug 20 2019The challenge of nowcasting and forecasting the effect of natural disasters (e.g. earthquakes, floods, hurricanes) on assets, people and society is of primary importance for assessing the ability of such systems to recover from extreme events. Traditional ... More
The emergence of critical stocks in market crashAug 20 2019In complex systems like financial market, risk tolerance of individuals is crucial for system resilience.The single-security price limit, designed as risk tolerance to protect investors by avoiding sharp price fluctuation, is blamed for feeding market ... More
How many people can simultaneously move through a pedestrian space? The impact of complex flow situations on the shape of the fundamental diagramAug 20 2019Pedestrian crowding occurs more frequent. As a result of the increasing pedestrian demand in public space, the limits of pedestrian spaces are of increasing interest. Some research on the maximum demand that can flow through a cross-section has been presented, ... More
Neutrino Detectors as Tools for Nuclear SecurityAug 20 2019Aug 21 2019For over 40 years, physicists have considered possible uses for neutrino detectors in nuclear nonproliferation, arms control, and fissile materials security. Neutrinos are an attractive fission signature because they readily pass through matter. The same ... More
Spectral theory for the stability of dynamical systems on large oriented locally tree-like graphsAug 19 2019We develop a mathematical theory for the linear stability of stationary states in large dynamical systems modelled by a set of randomly coupled differential equations on a locally tree-like network. Our approach provides analytical expressions for the ... More
Digraphs are different: Why directionality matters in complex systemsAug 19 2019Many networks describing complex systems are directed: the interactions between elements are not symmetric. Recent work has shown that these networks can display properties such as trophic coherence or non-normality, which in turn affect stability, percolation ... More
Consistent Community Detection in Continuous-Time Networks of Relational EventsAug 19 2019In many application settings involving networks, such as messages between users of an on-line social network or transactions between traders in financial markets, the observed data are in the form of relational events with timestamps, which form a continuous-time ... More
Indetermination of networks structure from the dynamics perspectiveAug 17 2019Networks are universally considered as complex structures of interactions of large multi-component systems. In order to determine the role that each node has inside a complex network, several centrality measures have been developed. Such topological features ... More
Analytical results for the distribution of shortest path lengths in directed random networks that grow by node duplicationAug 16 2019We present exact analytical results for the distribution of shortest path lengths (DSPL) in a directed network model that grows by node duplication. Such models are useful in the study of the structure and growth dynamics of gene regulatory networks and ... More
Controlling distant contacts to reduce disease spreading on disordered complex networksAug 16 2019Disorder is a characteristic of real social networks generated by heterogeneity in person-to-person interactions. This property affects the way a disease spreads through a population, reaches a tipping point in the fraction of infected individuals, and ... More
Generalized group-based epidemic model for spreading processes on networks: GgroupEMAug 16 2019We develop a generalized group-based epidemic model (GgroupEM) framework for any compartmental epidemic model (for example; susceptible-infected-susceptible, susceptible-infected-recovered, susceptible-exposed-infected-recovered). Here, a group consists ... More
Homophily on social networks changes evolutionary advantage in competitive information diffusionAug 16 2019Competitive information diffusion on large-scale social networks reveals fundamental characteristics of rumor contagions and has profound influence on public opinion formation. There has been growing interest in exploring dynamical mechanisms of the competing ... More
Topological universality of on-demand ride-sharing efficiencyAug 16 2019Ride-sharing may substantially contribute to future-compliant sustainable mobility, both in urban and rural areas. The service quality of ride-sharing fleets jointly depends on the topology of the underlying street networks, the spatio-temporal demand ... More
Evolution of cooperation in networks: well-connected cooperators can enhance cooperation but are counteracted by Trojan horsesAug 16 2019Cooperative behaviour is widespread in nature, but explaining how cooperation evolves constitutes a major scientific challenge. Simulation models has shown that social network structure plays a key role in rendering cooperation evolutionarily stable. ... More
Deep reinforcement learning in World-Earth system models to discover sustainable management strategiesAug 15 2019Increasingly complex, non-linear World-Earth system models are used for describing the dynamics of the biophysical Earth system and the socio-economic and socio-cultural World of human societies and their interactions. Identifying pathways towards a sustainable ... More
Architecture and evolution of semantic networks in mathematics textsAug 14 2019Knowledge is a network of interconnected concepts. Yet, precisely how the topological structure of knowledge constrains its acquisition remains unknown, hampering the development of learning enhancement strategies. Here we study the topological structure ... More
On community structure in complex networks: challenges and opportunitiesAug 14 2019Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few ... More
On community structure in complex networks: challenges and opportunitiesAug 14 2019Aug 16 2019Community structure is one of the most relevant features encountered in numerous real-world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few ... More
Modularity belief propagation on multilayer networks to detect significant community structureAug 13 2019Modularity based community detection encompasses a number of widely used, efficient heuristics for identification of structure in single- and multilayer networks. Recently, a belief propagation approach to modularity optimization provided a useful guide ... More
Network constraints on the mixing patterns of binary node metadataAug 13 2019We consider the network constraints on the bounds of the assortativity coefficient, which measures the tendency of nodes with the same attribute values to be interconnected. The assortativity coefficient is the Pearson's correlation coefficient of node ... More
Generalised trophic levels and graph hierarchyAug 12 2019So far trophic analysis of networks has been restricted to the ecological domain and networks with clear sources because of the restricted definition of trophic level and hence trophic coherence. Trophic coherence, a measure of a network's hierarchical ... More
Edge Correlations in Multilayer NetworksAug 11 2019Many recent developments in network analysis have focused on multilayer networks, which one can use to encode time-dependent interactions, multiple types of interactions, and other complications that arise in complex systems. Like their monolayer counterparts, ... More
Classical Information Theory of NetworksAug 10 2019Heterogeneity is among the most important features characterizing real-world networks. Empirical evidence in support of this fact is unquestionable. Existing theoretical frameworks justify heterogeneity in networks as a convenient way to enhance desirable ... More
Generalised thresholding of hidden variable network models with scale-free propertyAug 10 2019The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing the topology of complex networks. Owing to one of its most advantageous ... More
Reconstructing commuters network using machine learning and urban indicatorsAug 09 2019Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of diseases and crime. Representing the system as a complex network, in which nodes are assigned to regions (e.g., a city) ... More
Optimizing spreading dynamics in interconnected networksAug 09 2019Adding edges between layers of interconnected networks is an important way to optimize the spreading dynamics. While previous studies mostly focus on the case of adding a single edge, the theoretical optimal strategy for adding multiple edges still need ... More
Bayesian inference of network structure from information cascadesAug 09 2019Contagion processes are strongly linked to the network structures on which they propagate, and learning these structures is essential for understanding and intervention on complex network processes such as epidemics and (mis)information propagation. However, ... More
Preferences for efficiency, rather than preferences for morality, drive cooperation in the one-shot Stag-Hunt GameAug 08 2019Recent work highlights that cooperation in the one-shot Prisoner's dilemma (PD) is primarily driven by moral preferences for doing the right thing, rather than social preferences for equity or efficiency. By contrast, little is known on what motivates ... More
Agent-based simulator of dynamic flood-people interactionsAug 08 2019This paper presents a new simulator for dynamic modelling of interactions between flooding and people in crowded areas. The simulator is developed in FLAMEGPU (a Flexible Large scale Agent-based Modelling Environment for the GPU), which allows to model ... More
Quantifying information loss on chaotic attractors through recurrence networksAug 08 2019We propose an entropy measure for the analysis of chaotic attractors through recurrence networks which are un-weighted and un-directed complex networks constructed from time series of dynamical systems using specific criteria. We show that the proposed ... More
Centrality measures in simplicial complexes: applications of TDA to Network ScienceAug 08 2019Many real networks in social sciences, biological and biomedical sciences or computer science have an inherent structure of simplicial complexes reflecting many-body interactions. Using the recently introduced higher order notions of adjacency and degree ... More
Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations NetworksAug 08 2019Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents, ... More
Population collapse in Elite-dominated societies: A differential equations model without differential equationsAug 07 2019The HANDY model of Motesharrei, Rivas, and Kalnay examines interactions with the environment by human populations, both between poor and rich people, i.e., "Commoners" and "Elites". The Elites control the society's wealth and consume it at a higher rate ... More
Principal Cross-Border Flow Patterns in the European Electricity MarketsAug 07 2019The interconnected European Electricity Markets see considerable cross-border trade between different countries. In conjunction with the structure and technical characteristics of the power grid and its operating rules, the corresponding commercial flows ... More
Noncooperative dynamics in election interferenceAug 07 2019Foreign power interference in domestic elections is an age-old, existential threat to societies. Manifested through myriad methods from war to words, such interference is a timely example of strategic interaction between economic and political agents. ... More
Optimized Memory Reveals the Survival Strategy for a Multi-agent CompetitionAug 07 2019We present a fractional model to clarify the dynamical evolution of how and under what circumstances--in a multi-agent economic area--newly founded ventures prolong their existence throughout the market. Since the increase in the number of newly-established ... More
Fractional dynamics on circulant multiplex networks: optimal coupling and long-range navigation for continuous-time random walksAug 07 2019This work analyzes fractional continuous-time random walks on two-layer multiplexes. A node-centric dynamics is used, in which it is assumed a Poisson distribution of a walker to become active, while a jump to one of its neighbors depends on the connection ... More
Migrant mobility flows characterized with digital dataAug 07 2019Monitoring migration flows is crucial to respond to humanitarian crisis and to design efficient policies. This information usually comes from surveys and border controls, but timely accessibility and methodological concerns reduce its usefulness. Here, ... More
Disentangling activity-aware human flows reveals the hidden functional organization of urban systemsAug 07 2019Increasing evidence supports the fact that cities are complex systems, with a broad spectrum of structural and dynamical features which lead to unexpected and emerging phenomena. Understanding urban dynamics at individual level -- but also as the outcome ... More
Modularity and Projection of Bipartite NetworksAug 07 2019This paper investigates community detection by modularity maximisation on bipartite networks. In particular we are interested in how the operation of projection, using one node set of the bipartite network to infer connections between nodes in the other ... More
Oscillatory evolution of collective behavior in evolutionary games played with reinforcement learningAug 07 2019Large-scale cooperation underpins the evolution of ecosystems and the human society, and the collective behaviors by self-organization of multi-agent systems are the key for understanding. As artificial intelligence (AI) prevails in almost all branches ... More
Estimating the resilience to natural disasters by using call detail records to analyse the mobility of internally displaced personsAug 06 2019We use mobile phone call detail records to estimate the resettlement times of a subset of individuals that have been previously identified to be internally displaced persons (IDPs) following a sudden-onset disaster. Four different mobility metrics - two ... More
Detecting individual internal displacements following a sudden-onset disaster using time series analysis of call detail recordsAug 06 2019We present a method for analysing mobile phone call detail records to identify individuals whom we believe to be have been internally displaced as a result of a sudden-onset disaster. We model each anonymous individual's movements trajectory as a piecewise-constant ... More
Discovery of a phase transition behavior for supply chains against disruptive eventsAug 06 2019In today's global economy, supply chain (SC) entities have become increasingly interconnected with demand and supply relationships due to the need for strategic outsourcing. Such interdependence among firms not only increases efficiency, but also creates ... More
Second-order Control of Complex Systems with Correlated Synthetic DataAug 06 2019Generation of hybrid synthetic data resembling real data to some criteria is an important methodological and thematic issue in most disciplines which study complex systems. Interdependencies between constituting elements, materialized within respective ... More
Link formation in aged temporal networksAug 06 2019In this paper, we propose a network model in which nodes have a temporal preferential tendency to establish links with most active nodes. The activity of a node is defined by the number of links observe in a given time interval. We present two versions ... More
Users' traffic on two-sided Internet platforms. Qualitative studyAug 06 2019Internet platforms' traffic defines important characteristics of platforms, such as pricing of services, advertisements, speed of operations. One can estimate the traffic with the traditional time series models like ARIMA, Holt-Winters, functional and ... More
Characterising complex healthcare systems using network science: The small world of emergency surgeryAug 05 2019Hospitals are complex systems and optimising their function is critical to the provision of high quality, cost effective healthcare. Nevertheless, metrics of performance have to date focused on the performance of individual elements rather than the system ... More
ESA's Voyage 2050 Long-term Plan for Education and Public Engagement: White PaperAug 05 2019This white paper responds to the Voyage 2050 Call for White Papers from the Science Programme of the European Space Agency (ESA) and argues that education, communication and public engagement (hereafter EPE) should have priority in the Voyage 2050 planning ... More
Bimodality and Scaling in Recurrence Networks from ECG dataAug 04 2019Human heart is a complex system that can be studied using its electrical activity recorded as Electrocardiogram (ECG). Any variations or anomalies in the ECG can indicate abnormalities in the cardiac dynamics. In this work, we present a detailed analysis ... More
Could short-lasting non-specific immunity explain seasonal spacing of epidemic diseases?Aug 02 2019Common respiratory viruses cause seasonal epidemics in sequential patterns. The underlying mechanisms for this pattern have been debated for some time. For influenza, contenders include temperature, humidity, and vitamin D levels. While such seasonal ... More
Identification of gatekeeper diseases on the way to cardiovascular mortalityAug 02 2019Multimorbidity, the co-occurrence of two or more chronic diseases such as diabetes, obesity or cardiovascular diseases in one patient, is a frequent phenomenon. To make care more efficient, it is of relevance to understand how different diseases condition ... More
Voter model on networks partitioned into two cliques of arbitrary sizesAug 02 2019The voter model is an archetypal stochastic process that represents opinion dynamics. In each update, one agent is chosen uniformly at random. The selected agent then copies the current opinion of a randomly selected neighbour. We investigate the voter ... More
Higher order degree in simplicial complexes, multi combinatorial Laplacian and applications of TDA to complex networksAug 02 2019Many real networks in social, biological or computer sciences have an inherent structure of a simplicial complex, which reflects the multi interactions among agents (and groups of agents) and constitutes the basics of Topological Data Analysis. Normally, ... More
Measuring the Clustering Strength of a Network via the Normalized Clustering CoefficientAug 01 2019In this paper, we propose a novel statistic of networks, the normalized clustering coefficient, which is a modified version of the clustering coefficient that is robust to network size, network density and degree heterogeneity under different network ... More
Sampling on networks: estimating eigenvector centrality on incomplete graphsAug 01 2019We develop a new sampling method to estimate eigenvector centrality on incomplete networks. Our goal is to estimate this global centrality measure having at disposal a limited amount of data. This is the case in many real-world scenarios where data collection ... More
Maximum likelihood estimation of power-law degree distributions using friendship paradox based samplingAug 01 2019This paper considers the problem of estimating a power-law degree distribution of an undirected network. Even though power-law degree distributions are ubiquitous in nature, the widely used parametric methods for estimating them (e.g. linear regression ... More
How weaponizing disinformation can bring down a city's power gridAug 01 2019Social technologies have made it possible to propagate disinformation and manipulate the masses at an unprecedented scale. This is particularly alarming from a security perspective, as humans have proven to be the weakest link when protecting critical ... More
Supervised Learning of the Global Risk Network Activation from Media Event ReportsAug 01 2019The World Economic Forum (WEF) publishes annual reports on global risks which have the high impact on the world's economy. Currently, many researchers analyze the modeling and evolution of risks. However, few studies focus on validation of the global ... More
Supervised Learning of the Global Risk Network Activation from Media Event ReportsAug 01 2019Aug 06 2019The World Economic Forum (WEF) publishes annual reports on global risks which have the high impact on the world's economy. Currently, many researchers analyze the modeling and evolution of risks. However, few studies focus on validation of the global ... More
The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of ScienceJul 31 2019The policy debate around researchers' geographic mobility has been moving away from a theorized zero-sum game in which countries can be winners (brain gain) or losers (brain drain), and toward the concept of brain circulation, which implies that researchers ... More
Spontaneous symmetry breaking and discontinuous phase transition for spreading dynamics in multiplex networksJul 31 2019We propose a spreading model in multilayer networks and study the nature of nonequilibrium phase transition in the model. The model integrates the susceptible-infected-susceptible (or susceptible-infected-recovered) spreading dynamics with a biased diffusion ... More
Link-centric analysis of variation by demographics in mobile phone communication patternsJul 31 2019We present a link-centric approach to study variation in the mobile phone communication patterns of users. Unlike most previous research on call detail records that focused on the variation of phone usage across individual users, we examine how the calling ... More
Large deviation and anomalous fluctuations scaling in degree assortativity on configuration networksJul 31 2019By constructing a multicanonical Monte Carlo simulation and using the multiple histogram reweighting method, we obtain the full probability distribution $\rho_N(r)$ of the degree assortativity coefficient $r$ on configuration networks of size $N$. We ... More
Career Choice as an Extended Spatial Evolutionary Public Goods GameJul 31 2019We propose an extended spatial evolutionary public goods game (SEPGG) model to study the dynamics of individual career choice and the corresponding social output. Based on the social value orientation theory, we categorized two classes of work, namely ... More
Scaling of percolation transitions on Erdös-Rényi networks under centrality-based attacksJul 30 2019The study of network robustness focuses on the way the overall functionality of a network is affected as some of its constituent parts fail. Failures can occur at random or be part of an intentional attack and, in general, networks behave differently ... More
Opinion Formation under Antagonistic InfluencesJul 30 2019Jul 31 2019We study the opinion dynamics in a generalized voter model in which voters are additionally influenced by two antagonistic news sources, whose effect is to promote political polarization. We show that, as the influence of the news sources is increased, ... More
Opinion Formation under Antagonistic InfluencesJul 30 2019We study the opinion dynamics in a generalized voter model in which voters are additionally influenced by two antagonistic news sources, whose effect is to promote political polarization. We show that the mean time to reach consensus can be anomalously ... More
Multi-layer modelling of adoption dynamics in energy demand managementJul 30 2019Due to the emerging of new technologies, the whole electricity system is undergoing transformations on ascale and pace never observed before. In particular, the decentralization of energy resources and the smartgrid have changed the rules of the game ... More
Government as Network Catalyst: Preferential Attachment in the High-Technology SectorJul 30 2019Governments have long standing interests in preventing market failures and enhancing innovation in strategic industries. Public policy regarding domestic technology is critical to both national security and economic prosperity. Governments often seek ... More
Influencer identification in dynamical complex systemsJul 30 2019The integrity and functionality of many real-world complex systems hinge on a small set of pivotal nodes, or influencers. In different contexts, these influencers are defined as either structurally important nodes that maintain the connectivity of networks, ... More
Influencer identification in dynamical complex systemsJul 30 2019Jul 31 2019The integrity and functionality of many real-world complex systems hinge on a small set of pivotal nodes, or influencers. In different contexts, these influencers are defined as either structurally important nodes that maintain the connectivity of networks, ... More
The evolution of lying in well-mixed populationsJul 30 2019Lies can have profoundly negative consequences for individuals, groups, and even for societies. Understanding how lying evolves and when it proliferates is therefore of significant importance for our personal and societal well-being. To that effect, we ... More
Improved mutual information measure for classification and community detectionJul 29 2019The information theoretic quantity known as mutual information finds wide use in classification and community detection analyses to compare two classifications of the same set of objects into groups. In the context of classification algorithms, for instance, ... More
Exploring Perceptions of VeganismJul 29 2019This project examined perceptions of the vegan lifestyle using surveys and social media to explore barriers to choosing veganism. A survey of 510 individuals indicated that non-vegans did not believe veganism was as healthy or difficult as vegans. In ... More
The Effect of Social Information in the Dictator Game with a Taking OptionJul 29 2019We experimentally study how redistribution choices are affected by positive and negative information regarding the behaviour of a previous participant in a dictator game with a taking option. We use the strategy method to identify behavioural "types", ... More
Bursty time series analysis for temporal networksJul 28 2019Characterizing bursty temporal interaction patterns of temporal networks is crucial to investigate the evolution of temporal networks as well as various collective dynamics taking place in them. The temporal interaction patterns have been described by ... More
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingJul 27 2019Learning topological representation of a network in dynamic environments has recently attracted considerable attention due to the time-evolving nature of many real-world networks i.e. nodes/links might be added/removed as time goes on. Dynamic network ... More
Analyzing Linguistic Complexity and Scientific ImpactJul 27 2019The number of publications and the number of citations received have become the most common indicators of scholarly success. In this context, scientific writing increasingly plays an important role in scholars' scientific careers. To understand the relationship ... More
Flocking in complex environments -- attention trade-offs in collective information processingJul 26 2019The ability of biological and artificial collectives to outperform solitary individuals in a wide variety of tasks depends crucially on the efficient processing of social and environmental information at the level of the collective. Here, we model collective ... More
Modelling the Safety and Surveillance of the AI RaceJul 26 2019Innovation, creativity, and competition are some of the fundamental underlying forces driving the advances in Artificial Intelligence (AI). This race for technological supremacy creates a complex ecology of choices that may lead to negative consequences, ... More
Fitting In and Breaking Up: A Nonlinear Version of Coevolving Voter ModelsJul 26 2019We investigate a nonlinear version of coevolving voter models, in which both node states and network structure update as a coupled stochastic dynamical process. Most prior work on coevolving voter models has focused on linear update rules with fixed rewiring ... More
Challenges in Community Discovery on Temporal NetworksJul 26 2019Community discovery is one of the most studied problems in network science. In recent years, many works have focused on discovering communities in temporal networks, thus identifying dynamic communities. Interestingly, dynamic communities are not mere ... More
Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social NetworksJul 26 2019Peer influence and social contagion are key denominators in the adoption and participation of information spreading, such as news propagation, word-of-mouth or viral marketing. In this study, we argue that it is biased to only focus on the scale and coverage ... More
Networks of Power: Analyzing World Leaders Interactions on Social MediaJul 25 2019World leaders have been increasingly using social media platforms as a tool for political communication. However, despite the growing research on governmental accounts on social media, virtually nothing is known about interactions among world leaders. ... More
Predominance of the weakest species in Lotka-Volterra and May-Leonard implementations of the rock-paper-scissors modelJul 25 2019We revisit the problem of the predominance of the 'weakest' species in the context of Lotka-Volterra and May-Leonard implementations of a spatial stochastic rock-paper-scissors model in which one of the species has its predation probability reduced by ... More
Structure of percolating clusters in random clustered networksJul 25 2019We examine the structure of the percolating cluster (PC) formed by site percolation on a random clustered network (RCN) model. Using the generating functions, we formulate the clustering coefficient and assortativity of the PC. We analytically and numerically ... More
An Empirical Analysis of the Python Package Index (PyPI)Jul 25 2019Jul 26 2019In this research, we provide a comprehensive empirical summary of the Python Package Repository, PyPI, including both package metadata and source code covering 178,592 packages, 1,745,744 releases, 76,997 contributors, and 156,816,750 import statements. ... More
An Empirical Analysis of the Python Package Index (PyPI)Jul 25 2019In this research, we provide a comprehensive empirical summary of the Python Package Repository, PyPI, including both package metadata and source code covering 178,592 packages, 1,745,744 releases, 76,997 contributors, and 156,816,750 import statements. ... More
Exploring optimal institutional incentives for public cooperationJul 25 2019Prosocial incentive can promote cooperation, but providing incentive is costly. Institutions in human society may prefer to use an incentive strategy which is able to promote cooperation at a reasonable cost. However, thus far few works have explored ... More
Optimizing vaccine distribution networks in low and middle-income countriesJul 25 2019Vaccination has been proven to be the most effective method to prevent infectious diseases. However, there are still millions of children in low and middle-income countries who are not covered by routine vaccines and remain at risk. The World Health Organization's ... More
Learning about spatial inequalities: Capturing the heterogeneity in the urban environmentJul 24 2019Transportation systems can be conceptualized as an instrument of spreading people and resources over the territory, playing an important role in developing sustainable cities. The current rationale of transport provision is based on population demand, ... More
Heuristics for Transmission Expansion Planning in Low-Carbon Energy System ModelsJul 24 2019Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in generation ... More
Detecting Stable Communities in Link Streams at Multiple Temporal ScalesJul 24 2019Link streams model interactions over time in a wide range of fields. Under this model, the challenge is to mine efficiently both temporal and topological structures. Community detection and change point detection are one of the most powerful tools to ... More