Search results for "Complex network"

showing 10 items of 131 documents

Persistence in complex systems

2022

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature r…

fractal dimensionFOS: Computer and information sciencesComplex systemsRenewable energyglobal solar-radiationsystems' statesComplex networksGeneral Physics and AstronomyFOS: Physical scienceslong-term and short-term methodsadaptationzero-temperature dynamicsDynamical Systems (math.DS)Physics - GeophysicsneurosciencememoryMethodology (stat.ME)PersistenceOptimization and planningMemoryMachine learningearthquake magnitude seriesFOS: MathematicsAtmosphere and climateMathematics - Dynamical SystemsAdaptationcomplex systemslow-visibility eventstime-seriesStatistics - Methodologyinflation persistenceLong-term and short-term methodsdetrended fluctuation analysislong-range correlationspersistencecomplex networksSystems’ statesEconomyneural networksrenewable energyGeophysics (physics.geo-ph)atmosphere and climateeconomymachine learningoptimization and planningNeural networkswind-speedNeuroscience
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The migration–tourism nexus in the EU28

2020

This study explores the nexus between tourism and migration on an intra-European scale over the period 2000–2015. Complex-network analysis and gravity models were the investigation methods preferred. For each year under study, we built two country-to-country networks to map and reveal the connections between states as shaped by migration stocks and tourism flows, respectively. Then, the main determinants of the correlation patterns between the two networks were investigated by several econometric analysis. Results point to a quite similar topological structure for the tourism and migration networks as well as to a significant and reciprocal direct influence between tourism and migration mo…

gravity model05 social sciencesGeography Planning and Developmentcomplex network analysismigrationSettore SECS-P/06 - Economia ApplicataEconometric modelInvestigation methodsSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Gravity model of tradeTourism Leisure and Hospitality ManagementPolitical scienceScale (social sciences)0502 economics and businesstourismmedia_common.cataloged_instance050211 marketingEuropean UnionEconomic geographyEuropean unionNexus (standard)Complex network analysis050212 sport leisure & tourismTourismmedia_commonTourism Economics
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Transitions out of unemployment: The role of social networks' topology and firms' recruitment strategies

2011

In this paper we study the effects of job contact networks on out-of-unemployment transitions. We find that social connections produce sizable increases in upward mobility from unemployment and, caeteris paribus, symmetric network topologies perform better than asymmetric ones. Furthermore, in scale-free networks the probability of transitions out of unemployment increases in the exponent of the power-law degree distribution, but its value is much lower than the one attainable in Poisson random networks. In addition, and most interestingly, these results strongly depends on the different hypotheses on the firms' recruitment strategy.

job contact networks complex networks network symmetry transitions out of unemployment rms' recruitment strategiesSettore SECS-P/01 - Economia Politica
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Structural Dynamics of Interfirm Knowledge Networks

2016

In this chapter, we investigate the drivers of interfirm network structural dynamics and their influence on knowledge creation and diffusion processes that occur in such networks over time. Interfirm knowledge networks are complex webs of linkages connecting a variety of idiosyncratic firms within and across industries. Aimed to contribute to answer the recent calls for a more dynamic and multilevel view to understand network structures and processes, we leverage the complex network research to formulate a multilevel theoretical framework that clarifies the structural dynamics and knowledge creation and diffusion potential of interfirm networks.

knowledgeKnowledge managementOperations researchbusiness.industryNetwork structureComplex networkDegree distributionstructural dynamicsAverage path lengthVariety (cybernetics)Knowledge creationLeverage (negotiation)Dynamics (music)Interfirm networkSociologybusinessSettore SECS-P/08 - Economia E Gestione Delle Imprese
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The Role of Asymptomatic Individuals in the COVID-19 Pandemic <i>via</i> Complex Networks

2020

Background: Recent seroprevalence studies have tried to estimate the real number of asymptomatic cases affected by COVID-19. It is of paramount importance to understand the impact of these infections in order to prevent a second wave. This study aims to model the interactions in the population by means of a complex network and to shed some light on the effectiveness of localised control measures in Italy in relation to the school opening in mid-September.}  Methods: The formulation of an epidemiological predictive model is given: the advantage of using this model lies in that it discriminates between asymptomatic and symptomatic cases of COVID-19 as the interactions with these two categorie…

medicine.medical_specialtyeducation.field_of_studyActuarial sciencePublic healthPopulationDeclarationComplex networkAsymptomaticOrder (exchange)EpidemiologyPandemicmedicinemedicine.symptomeducationPsychologySSRN Electronic Journal
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Science of success: An introduction

2019

Performance and success are often used as synonyms to express individual accomplishment. However, from a scientific perspective they cover very different concepts: performance is about individual effort, while success is a collective quantity capturing the community's acknowledgment of effort and performance. In these notes, we investigate the quantitative rules that govern both, trying to model their interdependence within the framework of complex systems. We explore different fields, ranging from online crowdfunding platforms to academia, with the idea of applying scientifically sound methods to uncover the universal laws that determine the allocation of merit in science and society.

science of science social physics complex networksSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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A bibliometric analysis of cultural heritage research in the humanities: The Web of Science as a tool of knowledge management

2023

AbstractSubstantial research on the topic of cultural heritage has been conducted over the past two decades. At the same time, the overall output volume of journals and citation metrics have become important parameters in assessing and ranking researchers’ performance. Even though the scholarly interest in cultural heritage has recently increased world-wide, a comprehensive analysis of the publication output volume and its correlation to the shift in the cultural heritage regime starting in 2003 is still lacking. The article aims to understand the role of Web of Science (WOS) as a tool of knowledge management in academia by drawing on the scholarly output volume, the patterns displayed by t…

sociologyGeneral Arts and Humanitieskansainvälinen yhteistyötiedonhallintaGeneral Social Sciencescomplex networksGeneral Economics Econometrics and FinanceGeneral Business Management and AccountingGeneral PsychologykulttuuriperintöbibliometriikkaHumanities and Social Sciences Communications
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The Role of Leadership in Complex Strategic Networks: Enabling Effect Versus Emergence

2013

In today's knowledge-based economy, the sources of competitive advantage lie more and more in webs of interactions among a variety of actors (such as firms, universities, research organizations, government institutions and so on), that over time originate the emergence of strategic networks. The paper aims to shed light on the determinants of network interaction and the ensuing processes of knowledge and resource transfer and circulation, on which the networkbased sources of competitive advantage are rooted. Accordingly, by means of the adoption of the complexity system perspective, on the one hand, we underscore the emergent nature of network interactions stemming from the self-organizing …

strategic network complex adaptive system emergence complex network leadership enabling leadership effectsSettore SECS-P/08 - Economia E Gestione Delle Imprese
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Value Creation and Evolution of a Value Network: A Longitudinal Case Study on a Platform-as-a-Service Provider

2014

Current research on cloud computing emphasizes the important role of Platform-as-a-Service (PaaS) providers. However, little is known about how PaaS providers can offer value to the content providers and firms operating the platform. The findings demonstrate how a small PaaS provider in the cloud gaming market was able to develop a strong position in the value network by offering direct and indirect value to its partners. The findings also reveal how the firm developed its value network over fourteen years, from a complex network with several actors to a very simple value network which included only partners of prime importance. peerReviewed

ta113Knowledge managementSIMPLE (military communications protocol)business.industrySoftware as a serviceCloud computingBusiness valueComplex networkvalue crationPlatform-as-a-Servicevalue networkValue networkValue (economics)Position (finance)BusinessMarketing2014 47th Hawaii International Conference on System Sciences
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Complex Authority Network Interactions in the Common Information Sharing Environment

2019

European authorities collaborate as a community toward a coherent approach of situational understanding and open trust base information sharing. Innovation in multi-stakeholder collaboration networks involve complex collaboration between user community members, providing cross-sector, cross-border and cross-authority interaction and information sharing for collaborative situation awareness, and cooperation to increase safety and security. This study analyses data consisting of elements of use cases, collected from EU funded innovation projects. These were placed in a table based on similarity, difference and relevance to produce a classification. The results of this study indicate that use …

verkostotKnowledge managementHigher educationSituation awarenessbusiness.industryInformation sharingviranomaisyhteistyökansainvälinen yhteistyötietojenvaihtoComplex networktilannekuvakompleksisuusinnovaatiotoimintamulti-stakeholder collaborationTable (database)Use caseRelevance (information retrieval)Situational ethicsbusinesscomplexityinformation sharing situational picture.tiedonkulku
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