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The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases.
Decision Making --- Risk Assessment --- social network analysis --- Spatial Epidemiology --- disease surveillance --- Decision Making --- Risk Assessment --- social network analysis --- Spatial Epidemiology --- disease surveillance
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This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key
Internet -- Social aspects. --- Social network analysis. --- Social network. --- Social networks. --- Interpersonal relations. --- Human relations --- Interpersonal relationships --- Personal relations --- Relations, Interpersonal --- Relationships, Interpersonal --- Social behavior --- Social psychology --- Object relations (Psychoanalysis) --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Social sciences --- Network analysis. --- Network analysis (Social sciences) --- SNA (Social network analysis) --- Social network analysis --- System analysis --- Methodology
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This book explores the co-development of political, social, economic, and artistic networks of Florentines in the Kingdom of Hungary during the reign of Sigismund of Luxembourg. Analyzing the social network of these politicians, merchants, artisans, royal officers, dignitaries of the Church, and noblemen is the primary objective of this book. The study addresses both descriptively the patterns of connectivity and causally the impacts of this complex network on cultural exchanges of various types, among these migration, commerce, diplomacy, and artistic exchange. In the setting of a case study, this monograph should best be thought of as an attempt to cross the boundaries that divide political, economic, social, and art history so that they simultaneously figure into a single integrated story of Florentine history and development.
Italians --- History. --- Florence (Italy) --- Ethnology --- Florence, Hungary, social network, Renaissance, migration.
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triple helix --- social network analysis --- east and southeast asia --- internet research
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Fraud and manipulation in prediction markets are systematic results of incentive incompatibility, which, if present, have to be detected and balanced. ""Manipulations in Prediction Markets"" gives a critical insight into manipulations that are most likely to occur in prediction markets. In a general approach the book discusses the issue of incentives in markets and the breakdown of the incentive system. On this basis a new way of detecting irregular trading behaviour is introduced.
Wisdom of Crowds --- Social Network Analysis --- Manipulations --- Incentive Systems --- Prediction Markets
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The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases.
Decision Making --- Risk Assessment --- social network analysis --- Spatial Epidemiology --- disease surveillance
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The repertoire of quantitative analytical techniques in disciplines such as ecology, decision science, and evolutionary biology has grown, in part enabled by the development and increased availability of computational resources. Integration of cutting-edge, quantitative tools into veterinary epidemiology that have been borrowed from such disciplines has offered opportunities to advance the study of disease dynamics in animal populations, to improve and guide decision-making related to disease prevention, control, or eradication. Furthermore, the need to explore new analytical methods for veterinary epidemiology has been driven by the increasing availability and complexity of animal disease data. The objective of this e-book is to contribute to current methods in epidemiology by 1) presenting and discussing novel analytical tools that help advance our understanding of epidemiology; and 2) demonstrating how inferences emerging from the application of novel analytical tools can be incorporated into decision-making related to animal health. The e-book constitutes a collection of articles that explore the applications of a variety of analytical methods such as machine learning, Bayesian risk assessment and an advanced form of social network analysis in the modern epidemiologic study of animal diseases.
Decision Making --- Risk Assessment --- social network analysis --- Spatial Epidemiology --- disease surveillance
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Around the turn of the decade, when the popularity of social media sites was really beginning to take off, few people noticed a secretly burgeoning trend -- some users were artificially inflating the number of followers they had on social media to reap financial benefits. Even fewer noticed that organizations such as the Internet Research Agency were exploiting these new techniques for political gain. Only when this innovation in information warfare was deployed against Ukraine in 2014 did the world finally become aware of a practice that has now exploded into federal indictments, congressional hearings, and a European Union Code of Practice on Disinformation.
Computer network resources --- Electronic information resource literacy. --- Internet fraud. --- Internet searching. --- Security. --- Social network. --- Evaluation.
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Computational model --- collaborative systems --- Social applications --- Social network analysis --- computational model --- social applications --- social network analysis --- Information technology --- Information society --- Computer science --- Social aspects --- Sociology --- Information superhighway --- IT (Information technology) --- Technology --- Telematics --- Knowledge management
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Doelstellingen: In deze masterproef wordt er onderzocht hoe leerkrachten Sociale Media op een succesvolle wijze kunnen gebruiken in het onderwijs. Specifiek wordt er onderzocht in welke mate toekomstige leerkrachten in hun opleiding hierop voorbereid worden. In deze studie wordt er verondersteld dat Sociale Media effectief een meerwaarde kunnen bieden aan het onderwijs, als ze op een efficiënte en correcte manier gebruikt worden in de klas en leerkrachten hun studenten hierin voldoende kunnen begeleiden. Leerkrachten moeten voldoende kennis hebben hierover en een duidelijke strategie bedenken vooraleer ze deze media gebruiken in de klas. Middelen of methode: In deze masterproef wordt er het theoretisch kader eerst een stand van zaken opgesteld. Dit gebeurt op basis van de meest recente bevindingen in verband met Sociale Media in het onderwijs. Ook de voor – en nadelen, die uit eerder onderzoek zijn gebleken, zullen worden besproken. Daarnaast werd er ook een enquête verspreid onder leerkrachten in opleiding via de Sociale Netwerk Site Facebook, om inzicht te krijgen in hun gebruik, kennis en mening betreffende Sociale Media in het onderwijs. Op die manier wordt er specifiek onderzocht in welke mate zij in hun opleiding voorbereid worden op het gebruik van Sociale Media in de klas. Resultaten: Uit de resultaten van de online enquête blijkt dat het grootste deel van de respondenten gelooft in de voordelen en het potentieel van Sociale Media in het onderwijs. Bovendien blijkt de meerderheid ook interesse te hebben om in de toekomst deze media te gebruiken in de klas. Volgens de meeste toekomstige leerkrachten wordt er echter te weinig aandacht geschonken hieraan in hun opleiding. Bovendien kan er uit de enquête geconcludeerd worden dat toekomstige leerkrachten slechts in beperkte mate opgeleid worden in het gebruik van Sociale Media in onderwijs. Hoewel er reeds een aantal respondenten een theorie vak hebben gekregen over Sociale Media en reeds hierover kennis hebben, wil de grote meerderheid meer bijscholing hierover. Dit kan bijgevolg een reden zijn waarom ongeveer de helft van de respondenten nog nooit Sociale Media gebruikt heeft om les te geven in de klas. Verder is het ook opmerkelijk dat de meerderheid bezorgd is om hun privacy en bijgevolg vreest dat de grens tussen persoonlijk en professioneel gebruik van Sociale Media zal vervagen.
E-learning. --- H360-vreemde-talenonderwijs. --- Leerkrachten. --- Onderwijs. --- Social Media. --- Social Network Sites. --- Studie in de meertalige communicatie. --- Web 2.0.
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