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STRUCTURAL INSULATORS AND PROMOTORS IN NETWORKS UNDER GENERIC PROBLEM-SOLVING DYNAMICS Adv. Complex Syst. (IF 0.4) Pub Date : 2024-03-08 JOHANNES FALK, EDWIN EICHLER, KATJA WINDT, MARC-THORSTEN HÜTT
The collective coordination of distributed tasks in a complex system can be represented as decision dynamics on a graph. This abstract representation allows studying the performance of local decision heuristics as a function of task complexity and network architecture. Here, we identify hard-to-solve and easy-to-solve networks in a social differentiation task within the basic model of small-world graphs
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INVOLUTION GAME WITH SPECIALIZATION STRATEGY Adv. Complex Syst. (IF 0.4) Pub Date : 2024-02-24 BO LI
Involution now refers to the phenomenon that competitors in the same field make more efforts to struggle for limited resources but get lower individual “profit effort ratio”. In this work, we investigate the evolution of the involution game when competitors in the same field can adopt not only the strategy of making more efforts but also a specialization strategy which allows competitors to devote
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INFLUENCE OF NETWORK STRUCTURE AND AGENT PROPERTY ON SYSTEM PERFORMANCE Adv. Complex Syst. (IF 0.4) Pub Date : 2024-01-23 HONGZHONG DENG, JI LI, HONGQIAN WU, BINGFENG GE
System structure can affect or decide the system function. Many pioneers have analyzed the impact of system’s macro-statistical characteristics, such as degree distribution and giant component, on system performance. But only few research works were conducted on the relation of mesoscopic structure and agent property with system task performance. In this paper, we designed a scenario that, in a multiagent
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UNCERTAINTY VISUALIZATION FOR CHARACTERIZING HETEROGENEOUS HUMAN BEHAVIORS IN DISCRETE DYNAMICAL SYSTEM MODELS Adv. Complex Syst. (IF 0.4) Pub Date : 2023-08-24 XUEYING LIU, ZHIHAO HU, XINWEI DENG, CHRIS J. KUHLMAN
When modeling human behavior in multi-player games, it is important to understand heterogeneous aspects of player behaviors. By leveraging experimental data and agent-based simulations, various data-driven modeling methods can be applied. This provides a great opportunity to quantify and visualize the uncertainty associated with these methods, allowing for a more comprehensive understanding of the
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CRIME HOTSPOT EMERGENCE IN MEXICO CITY: A COMPLEXITY SCIENCE PERSPECTIVE Adv. Complex Syst. (IF 0.4) Pub Date : 2023-08-09 D. HERNÁNDEZ, MARCO A. JIMÉNEZ, J. A. BAUTISTA
We present a dynamic model based on the theories proposed by environmental criminologists to explain the emergence of crime hotspots within cities; a pervasive phenomenon that is largely independent of cities size and cultural differences. The model is defined on a multiplex network that represents a city spatial tiling with its corresponding urban transport infrastructure, allowing to explore the
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BIOMEDICAL CONVERGENCE FACILITATED BY THE EMERGENCE OF TECHNOLOGICAL AND INFORMATIC CAPABILITIES Adv. Complex Syst. (IF 0.4) Pub Date : 2023-06-26 DONG YANG, IOANNIS PAVLIDIS, ALEXANDER MICHAEL PETERSEN
We leverage the knowledge network representation of the Medical Subject Heading (MeSH) ontology to infer conceptual distances between roughly 30,000 distinct MeSH keywords — each being prescribed to particular knowledge domains — in order to quantify the origins of cross-domain biomedical convergence. Analysis of MeSH co-occurrence networks based upon 21.6 million research articles indexed by PubMed
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BI-COMMUNITY DETECTION METHOD BASED ON BOTH INTRA- AND INTER-CORRELATION: AN APPLIED RESEARCH OF INTERNATIONAL RELATIONS Adv. Complex Syst. (IF 0.4) Pub Date : 2023-06-07 CHENYAO ZHANG, BOYU CHEN, WENLIAN LU
The relations between agents of complex networks are generally determined by their attributes, so we can instead study the corresponding bipartite network formed by agents and their attributes to gain a higher-dimensional perspective. General bipartite community detecting algorithms implicitly contain a fixed generation step to determine the intra-correlations of the two separate vertex sets (denoted
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NETWORK ANALYSIS OF VERBAL COMMUNICATIONS IN THE NOVEL THE MASTER AND MARGARITA BY M. A. BULGAKOV Adv. Complex Syst. (IF 0.4) Pub Date : 2023-05-12 YURI Y. TARASEVICH, ANNA V. DANILOVA, OLGA E. ROMANOVSKAYA
A network analysis of the structure of verbal communications in one of the most popular Russian novels of the Soviet era The Master and Margarita by M. A. Bulgakov has been carried out. The structure of the novel is complex, i.e. there is “a story within a story”. Moreover, the real-world-characters and the other-world-characters are interacting in the novel. This complex and unusual composition makes
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MODELING SOCIAL RESILIENCE: QUESTIONS, ANSWERS, OPEN PROBLEMS Adv. Complex Syst. (IF 0.4) Pub Date : 2023-02-25 FRANK SCHWEITZER, GEORGES ANDRES, GIONA CASIRAGHI, CHRISTOPH GOTE, RAMONA ROLLER, INGO SCHOLTES, GIACOMO VACCARIO, CHRISTIAN ZINGG
Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equilibrium social organizations, such as collectives or collaborating teams. It consists of four steps: (i) delimitation, i.e. narrowing down the target systems, (ii) conceptualization, i.e. identifying how to approach social
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CLOUDS IN THE BASINS OF FULLY ASYNCHRONOUS CELLULAR AUTOMATA Adv. Complex Syst. (IF 0.4) Pub Date : 2023-02-09 SOUVIK ROY, SUKANTA DAS
This paper studies the basins of attraction of fully asynchronous cellular automata (ACAs) that converge to point attractor. Unlike traditional (synchronous) cellular automata (CAs), an ACA may approach to different point attractors from the same initial condition for different runs. In this direction, this paper introduces the notion of cloud behavior in convergence dynamics of ACAs. Depending on
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EVOLUTIONARY ANALYSIS OF PRISONER’S DILEMMA GAMES BASED ON MIXED RANDOM-CONFORMITY SELECTING MODEL Adv. Complex Syst. (IF 0.4) Pub Date : 2023-02-06 JIANXIA WANG, MENGQI HAO, JINLONG MA, SUFENG LI
Inspired by the conformity phenomenon in human society, we develop a mixed neighbor selecting model adopting random-conformity rule to explore the evolutionary weak prisoner’s dilemma game. The neighbor selection rule of nodes is adjusted based on their fitness and collective influence. Under the degree-normalized payoff framework, the findings derived from Monte Carlo simulations reveal that this
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WHEN INTUITION FAILS: THE COMPLEX EFFECTS OF ASSIMILATIVE AND REPULSIVE INFLUENCE ON OPINION POLARIZATION Adv. Complex Syst. (IF 0.4) Pub Date : 2023-01-28 SHUO LIU, MICHAEL MÄS, HAOXIANG XIA, ANDREAS FLACHE
There is a public and scholarly debate about whether personalized services of social-media platforms contribute to the rise of bipolarization of political opinions. On the one hand, it is argued that personalized services of online social networks generate filter bubbles limiting contact between users who disagree. This reduces opportunities for assimilative social influence between users from different
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BENCHMARKING THE INFLUENTIAL NODES IN COMPLEX NETWORKS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-12-31 OWAIS A. HUSSAIN, MAAZ BIN AHMAD, FARAZ A. ZAIDI
Among diverse topics in complex network analysis, the idea of extracting a small set of nodes which can maximally influence other nodes in the network has a variety of applications, especially for e-marketing and social networking. While there is an abundance of heuristics to identify such influential nodes, the method of quantifying the influence itself, has not been investigated in the research community
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MAPPING THE NETWORKED CONTEXT OF COPERNICUS, MICHELANGELO, AND DELLA MIRANDOLA IN WIKIPEDIA Adv. Complex Syst. (IF 0.4) Pub Date : 2022-11-17 LUIS A. MICCIO, CARLOS GÁMEZ-PÉREZ, JUAN LUIS SUÁREZ, GUSTAVO A. SCHWARTZ
To discern the role social and cultural networks play in the emergence of preeminent historical figures and ideas in History, we use a method based on complex networks analysis to reveal emergent interactions in Wikipedia. We built a network constituted by derivative links, where nodes are connected if they are co-linked by other papers or co-link other papers within Wikipedia. We apply this method
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LONG-RANGE CONNECTIONS, REAL-WORLD NETWORKS AND RATES OF DIFFUSION Adv. Complex Syst. (IF 0.4) Pub Date : 2022-11-09 TANYA ARAÚJO, R. VILELA MENDES
Long-range connections play an essential role in dynamical processes on networks, on the processing of information in biological networks, on the structure of social and economical networks and in the propagation of opinions and epidemics. Here, we review the evidence for long-range connections in real-world networks and discuss the nature of the nonlocal diffusion arising from different distance-dependent
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NETWORKS OF MUSIC GROUPS AS SUCCESS PREDICTORS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-11-03 DMITRY ZINOVIEV
More than 4600 non-academic music groups had emerged in the USSR and post-Soviet independent nations during 1960–2015, performing in 275 genres. Some groups became legends and survived for decades, while others vanished and are known now only to the most dedicated music history scholars. To explain and predict success, we built a complex network of the groups and their almost 20,000 members based on
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THE ENIGMATIC FRÁOCH AND HIS EPONYMOUS TALE — NETWORK ANALYSIS OF AN EARLY IRISH HEROIC ROMANCE Adv. Complex Syst. (IF 0.4) Pub Date : 2022-10-31 MADELEINE JANICKYJ, DANIEL CURLEY, PÁDRAIG MACCARRON, MIKE MCCARTHY, JOSEPH YOSE, RALPH KENNA
Táin Bó Cúailnge or the “Cattle Raid of Cooley” (TBC) is the most famous epic narrative in early Irish literature, having been brought to prominence in modern times by Thomas Kinsella’s iconic translation (1969). The origins of TBC were described by Kinsella as “far more ancient” than the medieval manuscripts that relate it and associated prequels to the tale, called remscéla. One of these, not included
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CASCADES IN WORLD INPUT–OUTPUT NETWORK: ILLUSION OF STABILITY Adv. Complex Syst. (IF 0.4) Pub Date : 2022-10-21 ANDREY LEONIDOV, STANISLAV RADIONOV, EKATERINA VASILYEVA
In this study, we address an issue of stability of global production network by constructing a scheme combining classical Leontieff input–output analysis and modeling of contagion in financial networks. We propose a model of disruptive cascades in global economy with nonlinear effects similar to those in the financial contagion model proposed by Elliott, Golub and Jackson (2014). We apply the model
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A DYNAMICAL SYSTEMS PERSPECTIVE ON THE DETECTION OF RACIAL PROFILING Adv. Complex Syst. (IF 0.4) Pub Date : 2022-10-19 STEPHAN HERMINGHAUS, KNUT M. HEIDEMANN
It is investigated how a possible racial bias in police officer’s searching behavior might be detected from the temporal variations in search rate and hit rate data. It is shown that this appears possible, conditions on data quality are derived, and a few tests on several aspects of racial bias are proposed.
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THE BACKBONE OF THE FINANCIAL INTERACTION NETWORK USING A MAXIMUM ENTROPY DISTRIBUTION Adv. Complex Syst. (IF 0.4) Pub Date : 2022-10-19 MAURICIO A. VALLE, FELIPE URBINA
We modeled the stocks of the financial system as a set of many interacting like spins derived from binary daily returns. From the empirical observation of these returns, we used a Boltzmann machine to infer a distribution of states equivalent to a maximum entropy distribution. This model describes the interaction couplings between each stock pair in the system, which can be considered a complete network
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TOWARDS A MEASURE OF HARMONIC COMPLEXITY IN WESTERN CLASSICAL MUSIC Adv. Complex Syst. (IF 0.4) Pub Date : 2022-09-30 MARCO BUONGIORNO NARDELLI, GARLAND CULBRETH, MIGUEL FUENTES
We recently introduced the concept of dynamical score network to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex network, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative information about harmonic
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NETWORK ANALYSIS OF THE KYIV BYLYNY CYCLE — EAST SLAVIC EPIC NARRATIVES Adv. Complex Syst. (IF 0.4) Pub Date : 2022-09-26 PETRO SARKANYCH, NAZAR FEDORAK, YURIJ HOLOVATCH, PÁDRAIG MACCARRON, JOSEPH YOSE, RALPH KENNA
In recent times, the advent of network science permitted new quantitative approaches to literary studies. Here, we bring the Kyiv bylyny cycle into the field — East Slavic epic narratives originating in modern-day Ukraine. By comparing them to other prominent European epics, we identify universal and distinguishing properties of the social networks in bylyny. We analyze community structures and rank
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SECTORAL MARKET POWER IN GLOBAL PRODUCTION: A THEORETICAL AND OBSERVATIONAL STUDY Adv. Complex Syst. (IF 0.4) Pub Date : 2022-08-10 PANAGIOTIS TAKIS ILIOPOULOS, GIORGOS GALANIS, ASHOK KUMAR, LILIT POPOYAN
In a globalized world, the distribution of value-added across firms depends on a number of factors that vary across space. A key factor is related to the different types of competition on the multilayer structure of production, which are characterized by different types of (market) power. In this paper, we first argue that PageRank centrality is able to capture sectoral market power within the complex
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COMPLEX NETWORK ANALYSIS OF A GRAPHIC NOVEL: THE CASE OF THE BANDE DESSINÉE THORGAL Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-17 VINCENT LABATUT
The task of extracting and analyzing character networks from works of fiction, such as novels and movies, has been the object of a number of recent publications. However, only a very few of them focus on graphic novels, and even fewer on European graphic novels. In this paper, we focus on Thorgal, a bande dessinée, i.e. a comic of the French-Belgian tradition. We manually annotate all the volumes of
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FORKING PATHS OF CULTURAL COMPLEXITY: A CASE STUDY OF RESEARCH PARADIGMS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-13 JOSHUA BORYCZ, BENJAMIN D. HORNE, R. ALEXANDER BENTLEY
Evolutionary studies of cultural complexity often assume that group members select the best information available in the group, effectively diffusing the best innovations, whose advantages are subsequently passed on to the next generation. This would seem to describe the ideal of the scientific process — each cohort of papers in a field surfacing the best innovations, refining them and passing on to
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RISK CONTAGION DUE TO OVERLAPPING PORTFOLIOS WITH LEVERAGE DECISION Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-12 ZIYAN ZHU, XIAOXING LIU
Since the subprime mortgage crisis, it is urgent to quantify the systemic financial risk and the network externality from the vulnerable perspective. Based on the overlapping portfolio, this study constructs an optimal leverage decision-making model with deleveraging and the fire sales mechanism to describe the liquidity risk spillover effects. Through the empirical results, the institution of a larger
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EXTRACTING REAL SOCIAL INTERACTIONS FROM A DEBATE OF COVID-19 POLICIES ON TWITTER: THE CASE OF MEXICO Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-06 ALBERTO GARCÍA-RODRÍGUEZ, TZIPE GOVEZENSKY, CARLOS GERSHENSON, GERARDO G. NAUMIS, RAFAEL A. BARRIO
Twitter is a popular social medium for sharing opinions and engaging in topical debates, yet presents a wide spread of misinformation, especially in political debates, from bots and adversarial attacks. The current state-of-the-art methods for detecting humans and bots in Twitter often lack generalizability beyond English. Here, a language-agnostic method to detect real users and their interactions
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EVOLUTION OF BIOMEDICAL INNOVATION QUANTIFIED VIA BILLIONS OF DISTINCT ARTICLE-LEVEL MeSH KEYWORD COMBINATIONS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-06 ALEXANDER M. PETERSEN
To what degree has the vast space of higher-order knowledge combinations been explored and how has it evolved over time? To address these questions, we first develop a systematic approach to measuring combinatorial innovation in the biomedical sciences based upon the comprehensive ontology of Medical Subject Headings (MeSH) developed and maintained by the US National Library of Medicine. As such, this
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THE DYNAMICS OF TASK AUTOMATION AND WORKER ADJUSTMENT IN LABOR MARKETS: AN AGENT-BASED APPROACH Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-06 ARVIND UPRETI, V. SRIDHAR
Artificial Intelligence and associated technologies are rapidly automating routine and non-routine tasks across industries and can severely disrupt labor markets. This paper presents an agent-based, evolutionary model of labor market dynamics where workers adjust to technology shocks induced by automation. Firms produce a homogeneous service by combining the outputs of tasks performed by workers while
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PROBABILISTIC FRAMEWORK FOR LOSS DISTRIBUTION OF SMART CONTRACT RISK Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-01 PETAR JEVTIĆ, NICOLAS LANCHIER
Smart contract risk can be defined as a financial risk of loss due to cyber attacks on or contagious failures of smart contracts. Its quantification is of paramount importance to technology platform providers as well as companies and individuals when considering the deployment of this new technology. That is why, as our primary contribution, we propose a structural framework of aggregate loss distribution
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COUNTERCYCLICAL CAPITAL BUFFERS, BANK CONCENTRATION AND MACROFINANCIAL STABILITY IN AN AGENT-BASED MACRO-FINANCIAL FRAMEWORK Adv. Complex Syst. (IF 0.4) Pub Date : 2022-07-01 MICHAEL NEUNER, CHRISTIAN R. PROAÑO, ALBERTO RUSSO
This paper examines the impact of countercyclical capital buffers (CCyBs) on financial stability and contributes to the discussion of CCyBs in an agent-based framework. The main focus of this work lies upon the question whether the implementation of CCyBs according to the Basel III framework improves financial stability unconditionally, or at the expense of unintended side effects. For this purpose
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OPTIMISM BRINGS ACCURATE PERCEPTION IN ITERATED PRISONER’S DILEMMA Adv. Complex Syst. (IF 0.4) Pub Date : 2022-06-29 ORHUN GORKEM, HALUK O. BINGOL
We analyze an extended model of the Iterated Prisoner’s Dilemma where agents decide to play based on the data from their limited memory or recommendations. The cooperators can decide whether to play with the matched opponent or not. The agents’ decisions are directly linked to their level of optimism since they decide to play if they believe the opponent has a high probability of cooperating. Optimism
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STUDY OF A MEASURE OF EFFICIENCY AS A TOOL FOR APPLYING THE PRINCIPLE OF LEAST EFFORT TO THE DERIVATION OF THE ZIPF AND THE PARETO LAWS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-06-27 A. EL KAABOUCHI, F. X. MACHU, J. COCKS, R. WANG, Y. Y. ZHU, Q. A. WANG
The principle of least effort (PLE) is believed to be a universal rule for living systems. Its application to the derivation of the power law probability distributions of living systems has long been challenging. Recently, a measure of efficiency was proposed as a tool of deriving Zipf’s and Pareto’s laws directly from the PLE. This work is a further investigation of this efficiency measure from a
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DETECTING AND MEASURING FINANCIAL CYCLES IN HETEROGENEOUS AGENTS MODELS: AN EMPIRICAL ANALYSIS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-06-22 FILIPPO GUSELLA
This paper proposes a macroeconometric analysis to depict and measure possible financial cycles that emerge due to the dynamic interaction between heterogeneous market participants. We consider two-type heterogeneous speculative agents: Trend followers tend to follow the price trend while contrarians go against the wind. As agents’ beliefs are unobserved variables, we construct a state-space model
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STRATEGICALLY BIASED LEARNING IN MARKET INTERACTIONS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-06-13 GIULIO BOTTAZZI, DANIELE GIACHINI
We consider a market economy where two rational agents are able to learn the distribution of future events. In this context, we study whether moving away from the standard Bayesian belief updating, in the sense of under-reaction to some degree to new information, may be strategically convenient for traders. We show that, in equilibrium, strong under-reaction occurs, thus rational agents may strategically
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THE ROLE OF NETWORK EMBEDDEDNESS ON THE SELECTION OF COLLABORATION PARTNERS: AN AGENT-BASED MODEL WITH EMPIRICAL VALIDATION Adv. Complex Syst. (IF 0.4) Pub Date : 2022-05-25 FRANK SCHWEITZER, ANTONIOS GARAS, MARIO V. TOMASELLO, GIACOMO VACCARIO, LUCA VERGINER
We use a data-driven agent-based model to study the core–periphery structure of two collaboration networks, R&D alliances between firms and co-authorship relations between scientists. To characterize the network embeddedness of agents, we introduce a coreness value obtained from a weighted k-core decomposition. We study the change of these coreness values when collaborations with newcomers or established
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ENTROPIC ANALYSIS OF PUBLIC TRANSPORT SYSTEM STRIKES Adv. Complex Syst. (IF 0.4) Pub Date : 2022-03-03 MARCOS E. GAUDIANO, CARLOS M. LUCCA, JORGE A. REVELLI
In this work, we study the hierarchical properties observed in temporal patterns of public transport strike records of Córdoba city, Argentina. We show how a previously developed entropy-based methodology can be applied here to unveil different strike regimes, to which particular political uncontrollability degrees can be naturally associated. From data analysis, a successive increment in the uncontrollability
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USE OF GAUSSIAN PROCESS TO MODEL, PREDICT AND EXPLAIN HUMAN EMOTIONAL RESPONSE TO CHINESE TRADITIONAL MUSIC Adv. Complex Syst. (IF 0.4) Pub Date : 2022-02-25 JUN SU, PENG ZHOU
Music listening is one of the most enigmatic of human mental phenomena; it not only triggers emotions but also changes our behavior. During the music session many people are observed to exhibit varying emotional response, which can be influenced by diverse factors such as music genre and instrument as well as the personal attributes of audiences. In this study, we assume that there is an intrinsic
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PEDESTRIAN DYNAMICS IN SINGLE-FILE MOVEMENT UNDER BACKGROUND MUSIC WITH DIFFERENT TEMPOS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-02-24 GUANG ZENG, JUN ZHANG, RUI YE, ANDREAS SCHADSCHNEIDER, SHUCHAO CAO, QIAO WANG, WEIGUO SONG
Large crowds are challenging the comfort and safety level of big cities, while music may be a potential method to improve pedestrian flow. This paper focuses on the influence of different tempos and types of background music on pedestrian dynamics. Three tempos (90beats/min (BPM), 120BPM and 150BPM) and two types (pure music and metronome stimuli) of music are considered. It is found that more frequent
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Optimal Prediction of User Mobility based on Spatio-Temporal Matching Adv. Complex Syst. (IF 0.4) Pub Date : 2022-01-18 A. Jinu,C. P. Maheswaran
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Modeling for Heterogeneous Objects based on X Language: A Modeling Method of Algorithm-hardware Adv. Complex Syst. (IF 0.4) Pub Date : 2022-01-18 Liu Yue,Zhao Chun
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THE GENERAL OWNERSHIP STRUCTURE OF THE EUROPEAN AEROSPACE INDUSTRY A STATISTICAL AND NETWORK ANALYSIS Adv. Complex Syst. (IF 0.4) Pub Date : 2022-01-07 LUCIO BIGGIERO, ROBERT MAGNUSZEWSKI
In this paper, we investigate the ownership structure of the 3143 EU28 aerospace companies in 2019, and extend the analysis to the 2428 neighbor partners outside EU28 and/or aerospace. Different from the previous studies, we consider all equity capital flows regardless of their size, and their monetary value instead of the corresponding ownership share. We further innovate by applying new methods to
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THE TALENT VERSUS LUCK MODEL AS AN ENSEMBLE OF ONE-DIMENSIONAL RANDOM WALKS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-12-29 RICARDO SIMÃO, FRANCISCO ROSENDO, LUCAS WARDIL
The role of luck on individual success is hard to be investigated empirically. Simplified mathematical models are often used to shed light on the subtle relations between success and luck. Recently, a simple model called “Talent versus Luck” showed that the most successful individual in a population can be just an average talented individual that is subjected to a very fortunate sequence of events
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DETECTING OPINION-BASED GROUPS AND POLARIZATION IN SURVEY-BASED ATTITUDE NETWORKS AND ESTIMATING QUESTION RELEVANCE Adv. Complex Syst. (IF 0.4) Pub Date : 2021-11-29 ALEJANDRO DINKELBERG, DAVID JP O’SULLIVAN, MICHAEL QUAYLE, PÁDRAIG MACCARRON
Networks, representing attitudinal survey data, expose the structure of opinion-based groups. We make use of these network projections to identify the groups reliably through community detection algorithms and to examine social-identity-based groups. Our goal is to present a method for revealing polarization and opinion-based groups in attitudinal surveys. This method can be broken down into the following
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EFFECTS OF HIDDEN OPINION MANIPULATION IN MICROBLOGGING PLATFORMS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-11-24 GIULIA BRAGHINI, FRANCESCO SALVARANI
This paper studies a model for describing opinions’ evolution in a community linked by microblogging directed network systems. The network can evolve in time by means of the creation and the deletion of some connections. When a connexion is created, the individuals have access to the whole history of posts written by the corresponding author and, when a connexion is destroyed, all the posts written
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ABM DOCUMENTATION AND ODD PROTOCOL IN ECONOMICS: A BIBLIOMETRIC ANALYSIS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-11-17 EMILIANO ALVAREZ, JUAN GABRIEL BRIDA, SILVIA LONDON
Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation
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REACHING TO THE TOP: THE GENDER EFFECT IN HIGHLY-RANKED ACADEMICS IN COMPUTER SCIENCE Adv. Complex Syst. (IF 0.4) Pub Date : 2021-11-11 ANA MARIA JARAMILLO, MARIANA MACEDO, RONALDO MENEZES
Science, Technology, Engineering and Mathematics (STEM) disciplines are notorious for gender imbalance favouring men. From these, Computer Science appears to among the worst. The imbalance comes despite the fact that, the proportion of women publishing impactful papers has increased over the last couple of decades. Here, we explore the potential gender differences in collaboration dynamics of leading
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STATISTICAL PROPERTIES OF RANKINGS IN SPORTS AND GAMES Adv. Complex Syst. (IF 0.4) Pub Date : 2021-10-22 JOSÉ ANTONIO MORALES, JORGE FLORES, CARLOS GERSHENSON, CARLOS PINEDA
Any collection can be ranked. Sports and games are common examples of ranked systems: players and teams are constantly ranked using different methods. The statistical properties of rankings have been studied for almost a century in a variety of fields. More recently, data availability has allowed us to study rank dynamics: how elements of a ranking change in time. Here, we study the rank distributions
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STATISTICAL PROPERTIES OF RANKINGS IN SPORTS AND GAMES Adv. Complex Syst. (IF 0.4) Pub Date : 2021-10-22 JOSÉ ANTONIO MORALES, JORGE FLORES, CARLOS GERSHENSON, CARLOS PINEDA
Any collection can be ranked. Sports and games are common examples of ranked systems: players and teams are constantly ranked using different methods. The statistical properties of rankings have been studied for almost a century in a variety of fields. More recently, data availability has allowed us to study rank dynamics: how elements of a ranking change in time. Here, we study the rank distributions
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ON THE SOCIAL AND COGNITIVE DIMENSIONS OF WICKED ENVIRONMENTAL PROBLEMS CHARACTERIZED BY CONCEPTUAL AND SOLUTION UNCERTAINTY Adv. Complex Syst. (IF 0.4) Pub Date : 2021-10-18 FELBER J. ARROYAVE, OSCAR YANDY ROMERO GOYENECHE, MEREDITH GORE, GASTON HEIMERIKS, JEFFREY JENKINS, ALEXANDER M. PETERSEN
We develop a quantitative framework for understanding the class of wicked problems that emerge at the intersections of natural, social, and technological complex systems. Wicked problems reflect our incomplete understanding of interdependent global systems and the systemic risk they pose; such problems escape solutions because they are often ill-defined, and thus mis-identified and under-appreciated
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GLOBAL CITIES IN INTERNATIONAL NETWORKS OF INNOVATORS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-10-13 S. EDET, P. PANZARASA, M. RICCABONI
Recent studies on international networks have investigated the role of global cities as catalysts of knowledge flows. In this paper, we examine global cities in transnational networks of innovators. To assess the likelihood of scientists and inventors from different cities to take part in international teams, we propose a measure based on 3-hyperedges in the collaboration network constructed from scientific
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MACROSCOPIC FUNDAMENTAL FLOW DIAGRAMS OF A SPIRITUALLY MOTIVATED CROWD Adv. Complex Syst. (IF 0.4) Pub Date : 2021-09-30 GAYATHRI HARIHARA SUBRAMANIAN, P.S. KARTHIKA, ASHISH VERMA
Managing and monitoring large crowds pose a challenge to the crowd management authorities. Understanding the crowd dynamics in terms of its macroscopic parameters and its application to assess the maximum number of people likely to gather at a location or the number of people to be allowed to pass a point can go a long way in preventing situations of crowd risk. This paper presents a comparison of
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FORMAN–RICCI CURVATURE FOR HYPERGRAPHS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-09-30 WILMER LEAL, GUILLERMO RESTREPO, PETER F. STADLER, JÜRGEN JOST
Hypergraphs serve as models of complex networks that capture more general structures than binary relations. For graphs, a wide array of statistics has been devised to gauge different aspects of their structures. Hypergraphs lack behind in this respect. The Forman–Ricci curvature is a statistics for graphs based on Riemannian geometry, which stresses the relational character of vertices in a network
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DESIGN OF CONTROLLABLE LEADER–FOLLOWER NETWORKS VIA MEMETIC ALGORITHMS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-09-25 SHAOPING XIAO, BAIKE SHE, SIDDHARTHA MEHTA, ZHEN KAN
In many engineered and natural networked systems, there has been great interest in leader selection and/or edge assignment during the optimal design of controllable networks. In this paper, we present our pioneering work in leader–follower network design via memetic algorithms, which focuses on minimizing the number of leaders or the amount of control energy while ensuring network controllability.
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NETWORK OF SCIENTIFIC CONCEPTS: EMPIRICAL ANALYSIS AND MODELING Adv. Complex Syst. (IF 0.4) Pub Date : 2021-09-17 VASYL PALCHYKOV, MARIANA KRASNYTSKA, OLESYA MRYGLOD, YURIJ HOLOVATCH
Concepts in a certain domain of science are linked via intrinsic connections reflecting the structure of knowledge. To get a qualitative insight and a quantitative description of this structure, we perform empirical analysis and modeling of the network of scientific concepts in the domain of physics. To this end, we use a collection of manuscripts submitted to the e-print repository arXiv and the vocabulary
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RISK AWARENESS TO EPIDEMIC INFORMATION AND SELF-RESTRICTED TRAVEL BEHAVIOR ON CONTAGION Adv. Complex Syst. (IF 0.4) Pub Date : 2021-08-11 WEN-JUAN XU, CHEN-YANG ZHONG, HUI-FEN YE, RONG-DA CHEN, TIAN QIU, FEI REN, LI-XIN ZHONG
By incorporating delayed epidemic information and self-restricted travel behavior into the SIS model, we have investigated the coupled effects of timely and accurate epidemic information and people’s sensitivity to the epidemic information on contagion. In the population with only local random movement, whether the epidemic information is delayed or not has no effect on the spread of the epidemic.
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SIMPLICITY FROM COMPLEXITY: ON THE SIMPLE AMPLITUDE DYNAMICS UNDERLYING COVID-19 OUTBREAKS IN CHINA Adv. Complex Syst. (IF 0.4) Pub Date : 2021-07-15 T. D. FRANK
COVID-19 confronts societies and individuals with unprecedented challenges. It is advocated that complex systems theory, in general, and synergetics, in particular, provide a valuable and comprehensive repertoire of tools and concepts such as the concept of amplitude equations and order parameters to study the spread of COVID-19 in human populations. Specifically, within the framework of SIR and SEIR
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THE “HIGHER” STATUS LANGUAGE DOES NOT ALWAYS WIN: THE FALL OF ENGLISH IN INDIA AND THE RISE OF HINDI Adv. Complex Syst. (IF 0.4) Pub Date : 2021-07-02 KUSHANI DE SILVA, ALADEEN BASHEER, KWADWO ANTWI-FORDJOUR, MATTHEW A. BEAUREGARD, VINEETA CHAND, RANA D. PARSHAD
Classical language dynamics explain language shift as a process in which speakers adopt a higher status language in lieu of a lower status language. This is well documented with English having out-competed languages such as Scottish Gaelic, Welsh, and Mandarin. The 1961–1991 Indian censuses report a sharper increase in Hindi/English Bilinguals compared to Monolingual Hindi speakers, suggesting that
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DESIGNING SYSTEMS BOTTOM UP: FACETS AND PROBLEMS Adv. Complex Syst. (IF 0.4) Pub Date : 2021-06-26 FRANK SCHWEITZER
Systems design utilizes top-down and bottom-up approaches to influence social or economic systems such that a desired outcome is obtained. We characterize different approaches like network controllability, network interventions, nudging and mechanism design and discuss the problems involved. We argue that systems design cannot be reduced to solving complex optimization problems.
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AN EVOLUTION ANALYSIS ON THE DYNAMIC GAME OF TAX COMPLIANCE BEHAVIOR WITH CREDIT EVALUATION IN EWA LEARNING MODEL Adv. Complex Syst. (IF 0.4) Pub Date : 2021-06-26 QINGSONG YU, BIN WU, FENG CHEN
Tax credit management system (TCMS) implemented by the State Administration of Taxation (SAT) of China in 2014 is an innovative mechanism of tax collection and management. This paper attempts to incorporate the TCMS into the model of Allingham and Sandmo [Allingham, M. G. and Sandmo, A., Income tax evasion: A theoretical analysis, J. Public Econ. 1(3–4) (1972) 323–338], and then proposes an agent-based