Search results for "work analysis"

showing 10 items of 232 documents

Analysis of the German Commuter Network Period 2013 -2021

2023

Understanding the behavior of commuters is crucial as the number of commuters steadily rises, causing significant traffic congestion in many cities. Indeed, commuter behavior is vital in city and transport planning and policy-making. Previous studies have investigated various factors that may impact commuting decisions. Still, these studies are often limited by the scale of data examined, including time duration, space, and the number of commuters. To address this gap, we gathered large-scale inter-city commuting data in Germany and analyzed the weighted commuting network from 2013 to 2021. This work relies on publicly available data so that the results can be reproduced.

Spatial Data[INFO] Computer Science [cs]Commuter NetworkComplex Network Analysis
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Taking care of everyone’s business: interpreting Sicilian Mafia embedment through spatial network analysis

2022

Mafia-type organisations often have a strong geographical and cultural entrenchment in the territory they belong. However, their analysis as a spatially networked social structure is still missing. A combined socio-spatial network analysis is presented here, through the demise of a large police operation called Operazione Perseo in 2008. This approach is developed in two ways. At first, a visual representation of the social network of this large group of mafiosi embedded in a geographical space is presented. Three main salient territorial features of the network are thus highlighted. A high density of links in some neighbourhoods, as well as connections across different Mandamenti, the terr…

Spatial network analysis social networks organised crime Sicilian Mafia Cosa Nostra spatial regressionsSociology and Political SciencePolitical Science and International RelationsLaw
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Asthma control, severity and lung function impairment through network analysis in children

2015

Background: Achieving and maintaining asthma control in children is the primary goal recommended by current guidelines. Aim: To identify risk factors associated with Asthma control and severity, as well as their relative weight. Methods: Within a consecutive series of outpatients visited in a three years period at the IBIM pediatric clinic, we selected 128 persistent asthmatics. A standardized medical interview was carried out to collect information on environmental risk factors, symptoms and comorbidities. Spirometry was performed using Pony FX, Cosmed, Italy; spirometric values were expressed as %pred using GLI-2012equation. Statistical analyses were performed by using R. Results: The ide…

Spirometrymedicine.medical_specialtymedicine.diagnostic_testReceiver operating characteristicbusiness.industryRelative weightasthmamedicine.diseaseEnvironmental riskAsthma controlInternal medicineCovariatemedicineasthma network analysisbusinessnetwork analysisLung functionAsthma7.6 Paediatric Respiratory Epidemiology
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INTER-ORGANIZATIONAL NETWORKS FOR INNOVATIONS AND SUSTAINABILITY

2021

The present Thesis is structured as a collection of three essays linked by one core idea: contributing to research knowledge on inter-organizational network dynamics in the context of innovation and the promotion of sustainability. In this Thesis, the author takes a systemic perspective and analyses the interactions between diverse groups of stakeholders, aiming to identify and interpret the logic underlying the formation of inter-organizational partnerships to promote innovation and sustainability. The dynamics of inter-organizational networks are influenced by several internal and external factors, such as strategic cooperation with stakeholders, structural changes (such as an R&I policy …

StakeholdersFramework programPolicySustainabilityPath dependenceSustainable innovationHealthcare sectorNetwork analysisPublic-private partnershipsSettore SECS-P/08 - Economia E Gestione Delle ImpreseInter-organizational networksCoronavirus (COVID-19)
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Community detection algorithm evaluation with ground-truth data

2018

International audience; Community structure is of paramount importance for the understanding of complex networks. Consequently, there is a tremendous effort in order to develop efficient community detection algorithms. Unfortunately, the issue of a fair assessment of these algorithms is a thriving open question. If the ground-truth community structure is available, various clustering-based metrics are used in order to compare it versus the one discovered by these algorithms. However, these metrics defined at the node level are fairly insensitive to the variation of the overall community structure. To overcome these limitations, we propose to exploit the topological features of the ‘communit…

Statistics and ProbabilityComputer science‘Community-graph’Community structureVariation (game tree)[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]Complex networkCondensed Matter Physics01 natural sciencesGraph010305 fluids & plasmasCommunity structureSet (abstract data type)0103 physical sciencesNetwork analysis010306 general physicsCluster analysisAlgorithmNetwork analysis
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A network analysis of student mobility patterns from high school to master’s

2021

Human migration involves the movement of people from one place to another. An example of undirected migration is Italian student mobility where students move from the South to the Center-North. This kind of mobility has become of general interest, and this work explores student mobility from Sicily towards universities outside the island. The data used in this paper regards six cohorts of students, from 2008/09 to 2013/14. In particular, our goal is to study the 3-step migration path: the area of origin (Sicilian provinces), the regional university for the bachelor’s degree, and the regional university for the master’s. Our analysis is conducted by building a multipartite network with four …

Statistics and ProbabilityGeneral interestHuman migrationbusiness.industrymedia_common.quotation_subjectLink weightBachelorlanguage.human_languageGeographyMathematics educationlanguageMaster sHigher educationStatistics Probability and UncertaintyNetworksSet (psychology)businessStudents’ mobilitySicilianNetwork analysismedia_common
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Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners

2012

The availability of large volumes of protein-protein interaction data has allowed the study of biological networks to unveil the complex structure and organization in the cell. It has been recognized by biologists that proteins interacting with each other often participate in the same biological processes, and that protein modules may be often associated with specific biological functions. Thus the detection of protein complexes is an important research problem in systems biology. In this review, recent graph-based approaches to clustering protein interaction networks are described and classified with respect to common peculiarities. The goal is that of providing a useful guide and referenc…

Structure (mathematical logic)Computer scienceSystems biologyCellData ScienceNanotechnologyComputational biologyProtein protein interaction networkBioinformatics network analysismedicine.anatomical_structuremedicineGraph (abstract data type)Lecture Notes in Computer ScienceCluster analysisProtein modulesBiological network
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Social Networks as an Approach to Systematic review

2019

Whether we are in the process of designing a new empirical study or our interest lies in conducting a review study, a solid literature review is needed to acquire an accurate idea of the current state of affairs with regard to a phenomenon of interest. Even if we can find contributions to the literature by entering keywords in search engines, we need tools that can help us to structure all the contributions encountered in terms of their interrelations and impact. This article presents social network analysis as such a tool. Although social network analysis is commonly thought of as a method in a particular empirical study, where individuals and groups of participants are studied, we can vie…

Structure (mathematical logic)lcsh:R5-920Empirical researchComputer scienceProcess (engineering)Field (Bourdieu)State of affairsContext (language use)lcsh:Medicine (General)CitationSocial network analysisData scienceHealth Professions Education
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An Analysis of the Internal Organization of Facebook Groups

2019

With the rapid development and growth of online social networks (OSNs), researchers have been pushed forward to improve the knowledge of these complex networks by analyzing several aspects, such as the types of social media, the structural properties of the network, or the interaction patterns among users. In particular, a relevant effort has been devoted to the study and identification of cohesive groups of users in OSNs (also referred as communities) because they are the basic building block of each OSN. While several research works on groups in OSNs have mainly focused on identifying the types of groups and the contents created by their members, the analysis of internal organizations of …

Structure (mathematical logic)social networksExploitSettore INF/01 - InformaticaComputer science020206 networking & telecommunications02 engineering and technologyComplex networkData scienceGroup organization; network centrality; social networks; tie strengthHuman-Computer InteractionIdentification (information)tie strengthModeling and Simulation0202 electrical engineering electronic engineering information engineeringGroup organizationnetwork centrality020201 artificial intelligence & image processingSocial mediaUse casesocial networkSocial network analysisSocial Sciences (miscellaneous)Internal organization
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"Master-Slave" Biological Network Alignment

2010

Performing global alignment between protein-protein interaction (PPI) networks of different organisms is important to infer knowledge about conservation across species. Known methods that perform this task operate symmetrically, that is to say, they do not assign a distinct role to the input PPI networks. However, in most cases, the input networks are indeed distinguishable on the basis of how well the corresponding organism is biologically well-characterized. For well-characterized organisms the associated PPI network supposedly encode in a sound manner all the information about their proteins and associated interactions, which is far from being the case for not well characterized ones. He…

Theoretical computer scienceBasis (linear algebra)business.industryComputer scienceFingerprint (computing)Process (computing)Master/slaveENCODETask (computing)Bioinformatics network analysisArtificial intelligencebusinessBiological networkOrganism
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