Search results for "Wikipedia"

showing 9 items of 9 documents

World Influence of Infectious Diseases from Wikipedia Network Analysis

2019

AbstractWe consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrat…

CheiRankComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_cause01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]law.invention03 medical and health sciencesPageRanklaw0103 physical sciencesGlobal networkmedicine010306 general physics030304 developmental biology0303 health sciencesInformation retrievalGoogle matrixMarkov processes[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]complex networksdata mining[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ranking (statistics)3. Good healthInfectious diseaseslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971Network analysisWikipedia
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Novel Version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network Using Social Impact

2020

International audience; Nowadays, information describing navigation behaviour of internet users are used in several fields, e-commerce, economy, sociology and data science. Such information can be extracted from different knowledge bases, including business-oriented ones. In this paper, we propose a new model for the PageRank, CheiRank and 2DRank algorithm based on the use of clickstream and pageviews data in the google matrix construction. We used data from Wikipedia and analysed links between over 20 million articles from 11 language editions. We extracted over 1.4 billion source-destination pairs of articles from SQL dumps and more than 700 million pairs from XML dumps. Additionally, we …

CheiRankPageRankSQLComputer sciencecomputer.internet_protocol01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]010305 fluids & plasmaslaw.inventionCheiRankPageRanklaw0103 physical sciencesCentrality measures010306 general physicsClickstreamcomputer.programming_languageInformation retrievalGoogle matrixGoogle matrixPageviewsSocial impactPage viewcomputerClickstreamXMLWikipedia
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La transición española : ¿qué sabe el alumnado de 1º de bachillerato?

2020

El presente artículo es el resultado del análisis de una encuesta realizada a 79 estudiantes de 1º de Bachillerato sobre la transición española. Mediante esta investigación se quiere acreditar, con metodología cuantitativa, los conocimientos e ideas que el alumnado encuestado tiene acerca de ese periodo histórico tras la realización de la Educación Secundaria. Para ello se ha realizado una encuesta con variedad de preguntas entre las cuales se han incluido algunas relacionadas entre sí para comprobar posibles contradicciones en las respuestas. La encuesta abarca diferentes cuestiones: desde personajes históricos hasta actores más globales como diferentes organizaciones o movilizaciones soci…

EncuestaConocimientosSecondary educationQuantitative methodologyTop 100 historical figures of WikipediaGeographyKnowledgeTransición españolaAlumnadoBachilleratoPedagogyPerformance artHigh school:PEDAGOGÍA [UNESCO]StudentsSurveyCartographyUNESCO::PEDAGOGÍAPeriod (music)Spanish transition
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Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship

2021

The increasing relevance of societal challenges has recently brought social entrepreneurship to the fore due to its capacity to leverage entrepreneurial processes to achieve social value while ensuring profits. In this study, we apply an experimental research method to analyse the concept of social entrepreneurship comprehensively. More specifically, we develop bibliometric analysis and web crawling techniques to gather information related to social entrepreneurship from Scopus and Wikipedia. We conduct a comparative network analysis of social entrepreneurship’s conceptual structure at academic and non-academic levels. This analysis has been performed considering scientific articles’ keywor…

EntrepreneurshipKnowledge managementScopusSocial entrepreneurshipSocial entrepreneurship Grand challenges Bibliometric analysis Web crawling Wikipedia Network analysisSocial entrepreneurshipArticleManagement Information SystemsSettore SECS-P/10 - Organizzazione AziendaleSettore SECS-P/07 - Economia AziendaleBibliometric analysisManagement of Technology and InnovationIvory towerSociologyGrand ChallengesGrand challengeComputingMilieux_THECOMPUTINGPROFESSIONbusiness.industryDigital transformationWeb crawlingNetwork analysiGrand challengesKnowledge baseBibliometric analysiNetwork analysisbusinessCentralityWikipediaInternational Entrepreneurship and Management Journal
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Zvaigžņotā Debess: 2006, Pavasaris

2006

Latvijas Zinātnes padome, Latvijas Universitāte

Krustvārdu mīklaVIRGOHI 21 – iespējama tumšās matērijas galaktikaJapānas starpplanētu zonde “Hayabusa” – asteroīda 1989ML Itokawa iežu paraugiPašu veidota enciklopēdija – WikipediaLatvijas atklātā matemātikas olimpiāde – uzdevumu atrisinājumiElga Kaupuša (Dreimane)Jupitera tumšās joslas un gaišās zonasAstronomijas vasaras skola "Norfa 2005"Zvaigžņu starojums un spektrsPolārzvaigzne – trīskārša zvaigžņu sistēmaGrozāmā zvaigžņu karte (φ = +57°)Zvaigžņotā debess 2006.gada pavasarīKarls Rāners. Visa radītā vienība un Cilvēka stāvoklis kosmosāAsteroīdu sadursme pirms 8.2 milj. gaduRīgas atklātā skolēnu astronomijas olimpiādeLatvijas astronomijas skolotāji ZviedrijāIgaunijas Riigikogu spīkere Ene Ergmā Astronomijas institūtāSaules un heliosfēras observatorijas SOHO desmitgadeOzona caurums 2005.gadāBretaņas megalītiskie Saules tempļi un kapenesSergejs BohanovsLokālā galaktiku grupaJaunatklāti Plutona pavadoņiŽurnāla „terra” pieci gadiNeformālā izglītība fizikā astronomijā un matemātikāŽurnāla “Foto Kvartāls” vēstuleMarss virsmas zondēšana – radaru novērojumiNeparasts Saulriets un varavīksnes mākoņiRīgas Akadēmiskā ģimnāzija – 375Kristus otrā atnākšana un debesu zīmesAstronomijas nometne "Ērgļa Omikrons”NASA kosmiskā zonde “Stardust” – putekļu paraugiCitplanētu HD 149026b un HD 189733b pāriešana savas zvaigznes diskamArturs Balklavs-Grīnhofs
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Wikipedia network analysis of cancer interactions and world influence

2019

AbstractWe apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers which has 60% and 70% overlaps with the top 10 cancers extracted from World Health Organization GLOBOCAN 2018 and Global Burden of Diseases Study 2017, respectively. The recently developed reduced Google matrix algorithm gives networks of interactions between cancers, drugs and countries taking into account all direct and indirect links between these selected 435 entities. These reduced n…

PageRankDatabases FactualComputer scienceSocial Sciences01 natural sciencesLung and Intrathoracic TumorsHematologic Cancers and Related Disorders0302 clinical medicineSociologyNeoplasmsBreast TumorsMedicine and Health SciencesComputingMilieux_MISCELLANEOUSNon-Hodgkin lymphoma0303 health sciencesMultidisciplinaryGoogle matrixApplied MathematicsSimulation and ModelingProstate Cancer[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]QRProstate DiseasesOnline EncyclopediasHematology[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciencesOvarian CancerOncology030220 oncology & carcinogenesisPhysical SciencesMedicineLymphomasCancersAlgorithmsNetwork analysisResearch ArticleScienceUrologyMEDLINEComplex networksAntineoplastic Agents[SDV.CAN]Life Sciences [q-bio]/CancerResearch and Analysis Methods[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]World Wide Web03 medical and health sciences0103 physical sciencesBreast CancerLeukemiasmedicineHumansMass Media010306 general physicsPagerank algorithm030304 developmental biologyGoogle matrixCancerCancers and NeoplasmsHyperlinkmedicine.diseaseData scienceCommunicationsGenitourinary Tract TumorsCancer drugsRankingEncyclopedias[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Gynecological TumorsMathematicsWikipedia
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Semantic sense extraction from Wikipedia pages

2010

This paper presents a technique aimed to extract structured information from unstructured Wikipedia contents related to a particular topic, and to arrange it in a semantic way inside an ontology. The general framework is the design of an artificial agent able to deliberate when increasing its domain knowledge. In particular, this cognitive agent acts as a dialogue manager in an Intelligent Tutoring System (ITS) already presented by the authors. Our approach is based on the definition of useful patterns able to extract and identify novel concepts and relations to be added to the knowledge base. We propose a method that uses information from the wiki page’s structure. We define different stra…

Semantic sense extraction Knowledge Acquisition WikipediaSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalRelation (database)business.industryComputer scienceOntology (information science)Knowledge acquisitionIntelligent tutoring systemWorld Wide WebKnowledge-based systemsKnowledge baseEncyclopediabusinessContent management
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Who cares about calling non-consensual sex "rape" in summaries of fictional narratives on Wikipedia? From a gender identity hypothesis to recurrent a…

2021

International audience; This presentation is based on a larger research project about novel and film summaries on Wikipedia where a recurrent dissensus as to which word summarizes best what happens in a fictional sex scene (typically seduction vs rape) was spotted by exporting and searching revision histories. The linguistic consistency and recurrence of such words shifts suggests these findings cannot be explained solely by interindividual subjective variation in interpretation and chance : can we predict whether a reader / contributor will make this type of discursive shift on the basis of their social identity, such as their gender ? A methodological difficulty is that identity online an…

[SHS.LITT] Humanities and Social Sciences/Literaturereceptionverbal hygieneonline activism[SHS.LITT]Humanities and Social Sciences/Literature[SHS.ART] Humanities and Social Sciences/Art and art historyrapesexual violence[SHS.ART]Humanities and Social Sciences/Art and art history[SHS.GENRE] Humanities and Social Sciences/Gender studies[SHS.GENRE]Humanities and Social Sciences/Gender studiesWikipedia
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Wikipedia-artikkeli tekstilajina : koheesion keinot tekstin rakentajina

2015

Tässä tutkimuksessa tarkastelin suomenkielisiä Wikipedia-artikkeleita tekstilajin näkökulmasta. Wikipedia on nykyisin erittäin merkittävä tiedonhaun väline. Se sisältää valtavan määrän yhteis-toiminnallisesti tuotettua tietoa ja poikkeaa kustannetuista tietosanakirjoista monin tavoin. Wik-pedialle on leimallista, että kaikki voivat vapaasti osallistua sen artikkelien kirjoittamiseen ja muokkaamiseen. Tutkimukseni teoreettisena viitekehyksenä toimi systeemis-funktionaalinen teoria. Pohjasin analyysini erityisesti M. A. K. Hallidayn ajatuksiin systeemis-funktionaalisesta tekstilajitutki-muksesta. Siinä kieltä tulkitaan sosio-kulttuurisessa kontekstissa. Teorian perusyksikkö on teks-ti: kieltä…

sidoksisuustietosanakirjatwikitkoheesiotekstilajitkoherenssiWikipediatekstintutkimus
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