Search results for "Network Theory"

showing 10 items of 47 documents

A virtual integration—The management control system in a multinational enterprise

2008

Abstract This paper draws on actor-network-theory, especially Law and Hassard [Law, J., Hassard, J. (Eds.), 1999. Actor Network Theory and After. Blackwell, Malden, MA] and Latour [Latour, B., 2005. Reassembling the Social. An Introduction to the Actor-Network-Theory. Oxford University Press, Oxford] to investigate how a division-wide management control system was created in a multinational enterprise. The empirical findings were gathered from different actors involved in the implementation of enterprise's ABC and ERP projects. Our study focuses on the ontological politics [Mol, A.-M., 1999. Ontological politics. A word and some questions. In: Law, J., Hassard, J. (Eds.), Actor Network Theo…

Enterprise systems engineeringInformation Systems and ManagementActor–network theorybusiness.industryEnterprise integrationEnterprise architectureManagementEpistemologyEnterprise life cycleAccountingSociologyEnterprise information systembusinessDigital firmFinanceEnterprise softwareManagement Accounting Research
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Entrepreneurs’ interpersonal communication competence in networking

2020

Modern international business calls for competencies that enable entrepreneurs to be creative, innovative, effective and capable of networking. Competencies in forming and developing networks are particularly valuable for organizations and companies in countries with small economies, such as Finland, that are dependent on export and profitable international business. The aim of this research is to build understanding of what kind of interpersonal communication competence (ICC) entrepreneurs need in networking.
 Since the classic work of Granovetter (1982) and others (see e.g. Håkansson, 1982; Håkansson & Snehota, 2000), network theory and network analysis have become popular when t…

EntrepreneurshipKnowledge managementyrittäjätbusiness.industryverkostoituminenMindsetInterpersonal communicationInternational businessNetwork theoryentrepreneurshipviestintätaidotinterpersonal communication competencekeskinäisviestintänetworksBehavioral communicationPharmacology (medical)SociologyArtikkelitThematic analysisbusinessCompetence (human resources)Interpersonal communication competence entrepreneurship networks
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Core of communities in bipartite networks

2017

We use the information present in a bipartite network to detect cores of communities of each set of the bipartite system. Cores of communities are found by investigating statistically validated projected networks obtained using information present in the bipartite network. Cores of communities are highly informative and robust with respect to the presence of errors or missing entries in the bipartite network. We assess the statistical robustness of cores by investigating an artificial benchmark network, the co-authorship network, and the actor-movie network. The accuracy and precision of the partition obtained with respect to the reference partition are measured in terms of the adjusted Ran…

FOS: Computer and information sciencesAccuracy and precisionPhysics - Physics and SocietyBipartite systemRand indexFOS: Physical sciencesPhysics and Society (physics.soc-ph)computer.software_genre01 natural sciences010104 statistics & probabilityRobustness (computer science)0103 physical sciences01.02. Számítás- és információtudomány0101 mathematics010306 general physicsMathematicsSocial and Information Networks (cs.SI)Probability and statisticsComputer Science - Social and Information NetworksSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)network theory community detectionPhysics - Data Analysis Statistics and ProbabilityBipartite graphData miningcomputerData Analysis Statistics and Probability (physics.data-an)
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The network of global corporate control.

2011

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy make…

FOS: Computer and information sciencesInternationalityFinancial ManagementEconomicsFinancial intermediarylcsh:MedicineNetwork theorySocial and Behavioral Sciences01 natural sciences010305 fluids & plasmasMicroeconomics050207 economicslcsh:ScienceMutual fundIndustrial organizationProfessional CorporationsMultidisciplinaryCorporate governanceApplied MathematicsPhysics05 social sciencesCommerceComputer Science - Social and Information NetworksComplex SystemsSocial Control PoliciesCore (game theory)Interdisciplinary PhysicsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceResearch ArticlePhysics - Physics and SocietyControl (management)FOS: Physical sciencesSpatial Economic AnalysisPhysics and Society (physics.soc-ph)BiologyStatistical MechanicsFOS: Economics and businessFinancial management0502 economics and business0103 physical sciencesownership corporate control network theoryStructure of MarketsSocial and Information Networks (cs.SI)business.industryFinancial marketlcsh:RIndustrial Organizationlcsh:QbusinessMathematicsPloS one
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Centrality measures for networks with community structure

2016

Understanding the network structure, and finding out the influential nodes is a challenging issue in the large networks. Identifying the most influential nodes in the network can be useful in many applications like immunization of nodes in case of epidemic spreading, during intentional attacks on complex networks. A lot of research is done to devise centrality measures which could efficiently identify the most influential nodes in the network. There are two major approaches to the problem: On one hand, deterministic strategies that exploit knowledge about the overall network topology in order to find the influential nodes, while on the other end, random strategies are completely agnostic ab…

FOS: Computer and information sciencesStatistics and ProbabilityPhysics - Physics and SocietyExploitComplex networksFOS: Physical sciencesNetwork sciencePhysics and Society (physics.soc-ph)Network theoryMachine learningcomputer.software_genreNetwork topologyImmunization strategies01 natural sciences010305 fluids & plasmas0103 physical sciences010306 general physicsMathematicsSocial and Information Networks (cs.SI)Structure (mathematical logic)[PHYS.PHYS]Physics [physics]/Physics [physics]business.industryCommunity structureComputer Science - Social and Information NetworksComplex networkEpidemic dynamicsCondensed Matter Physics[ PHYS.PHYS ] Physics [physics]/Physics [physics]Community structureArtificial intelligenceData miningbusinessCentralitycomputer
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The multiplex structure of interbank networks

2013

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topological properties and persistence over time. The presence of a link in a layer is not a good predictor of the presence of the same link in other layers. Maximum entropy models reveal different unexpected substructures, such as network motifs, in different layers. Using the total interbank network or focusing on a specific layer as representative of the other layers provides a po…

Financial economicsComputer scienceNetwork theoryjel:C4901 natural sciencesjel:G21FOS: Economics and businessInterbank marketInterbank network0502 economics and business0103 physical sciencesSystemic riskSystemic riskEconometrics050207 economicsLayer (object-oriented design)010306 general physicsjel:E51Principle of maximum entropy05 social sciencesRepresentation (systemics)Maturity (finance)interbank market network theory systemic riskNetwork theoryInterbank lending marketGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceGeneral Economics Econometrics and FinanceFinance
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Predicting Heuristic Search Performance with PageRank Centrality in Local Optima Networks

2015

Previous studies have used statistical analysis of fitness landscapes such as ruggedness and deceptiveness in order to predict the expected quality of heuristic search methods. Novel approaches for predicting the performance of heuristic search are based on the analysis of local optima networks (LONs). A LON is a compressed stochastic model of a fitness landscape's basin transitions. Recent literature has suggested using various LON network measurements as predictors for local search performance.In this study, we suggest PageRank centrality as a new measure for predicting the performance of heuristic search methods using local search. PageRank centrality is a variant of Eigenvector centrali…

Fitness landscapebusiness.industryNetwork theoryMachine learningcomputer.software_genrelaw.inventionLocal optimumPageRanklawShortest path problemSimulated annealingLocal search (optimization)Artificial intelligenceCentralitybusinesscomputerMathematicsProceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation
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Exploring social media network landscape of post-Soviet space

2019

The “post-Soviet space” consists of countries with a substantial fraction of the world’s population; however, unlike many other regions, its social media network landscape is still somewhat under-explored. This paper aims at filling this gap. To this purpose, we use anonymized data on user friendships at VK.com (also known as VKontakte and, informally, as “Russian Facebook”), which is the largest and most popular social media portal in the post-Soviet space with hundreds of millions of user accounts. Using the VK network snapshots from October 2015 to December 2016, we conduct a “multiscale” empirical study of this network by considering conn…

General Computer SciencePopulationsosiaalinen mediaContext (language use)010501 environmental sciencesSpace (commercial competition)01 natural sciencesEmpirical researchbig data0502 economics and businessSocial network servicesGeneral Materials ScienceSocial mediaEconomic geographyeducationsovellukset (tietotekniikka)0105 earth and related environmental sciencesta113verkostoteducation.field_of_studyModularity (networks)big data applicationsData collection05 social sciencesGeneral Engineeringnetwork theory (graphs)Scale (social sciences)lcsh:Electrical engineering. Electronics. Nuclear engineeringsocial network serviceslcsh:TK1-9971050203 business & management
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Happy Aged People Are All Alike, While Every Unhappy Aged Person Is Unhappy in Its Own Way

2011

Aging of the world’s population represents one of the most remarkable success stories of medicine and of humankind, but it is also a source of various challenges. The aim of the collaborative cross-cultural European study of adult well being (ESAW) is to frame the concept of aging successfully within a causal model that embraces physical health and functional status, cognitive efficacy, material security, social support resources, and life activity. Within the framework of this project, we show here that the degree of heterogeneity among people who view aging in a positive light is significantly lower than the degree of heterogeneity of those who hold a negative perception of aging. We base…

GerontologyAgingDatabases FactualHappinesslcsh:MedicineSocial PolicySocial and Behavioral SciencesEngineeringSociologySurveys and QuestionnairesMedicineData MiningCluster AnalysisCooperative Behaviorlcsh:Sciencemedia_commonCausal modelAged 80 and overeducation.field_of_studyMultidisciplinaryPhysicsMiddle AgedSocial NetworksInterdisciplinary PhysicsMedicinePsychological resilienceSocial psychologyResearch Articlemedia_common.quotation_subjectPopulationStatistical MechanicsSocial supportLife ExpectancyHumanseducationDemographyAgedbusiness.industryPerspective (graphical)lcsh:RReproducibility of ResultsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)GeriatricsComputational SociologyWell-beingSignal ProcessingHappinessLife expectancylcsh:QbusinessNetwork Theory Statistical Physics GeriatricsPLoS ONE
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Dominating Clasp of the Financial Sector Revealed by Partial Correlation Analysis of the Stock Market

2010

What are the dominant stocks which drive the correlations present among stocks traded in a stock market? Can a correlation analysis provide an answer to this question? In the past, correlation based networks have been proposed as a tool to uncover the underlying backbone of the market. Correlation based networks represent the stocks and their relationships, which are then investigated using different network theory methodologies. Here we introduce a new concept to tackle the above question--the partial correlation network. Partial correlation is a measure of how the correlation between two variables, e.g., stock returns, is affected by a third variable. By using it we define a proxy of stoc…

INFORMATIONEconomicsPORTFOLIO OPTIMIZATIONEconomic Modelslcsh:MedicineNetwork theorySocial and Behavioral SciencesFinancial correlationStock exchangeMicroeconomicsEconometricsEconomicslcsh:ScienceMathematical ComputingMarketingMultidisciplinarySystems BiologyApplied MathematicsPhysicsStatisticsComplex SystemsMathematical EconomicsModels EconomicInterdisciplinary PhysicsAlgorithmsResearch ArticleCORRELATION-BASED NETWORKS; PORTFOLIO OPTIMIZATION; CORRELATION-MATRICES; TIME-SERIES; INFORMATIONNew YorkTIME-SERIESHumansInvestmentsStatistical MethodsCorrelation swapBiologyStructure of MarketsStock (geology)Partial correlationCORRELATION-BASED NETWORKSRegulatory NetworksModels Statisticallcsh:RFinancial marketComputational BiologyIndustrial OrganizationModels TheoreticalCORRELATION-MATRICESlcsh:QStock marketMathematicsForecasting
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