A reliable and evolutive web application to detect social capitalists
| العنوان: | A reliable and evolutive web application to detect social capitalists |
|---|---|
| المؤلفون: | Simon Munier, Amelie Daviau, Hugo Durbano, Maximilien Danisch, Tennessy Kolubako, Nicolas Dugué, Anthony Perez, Florian Bridoux |
| المساهمون: | Laboratoire d'Informatique Fondamentale d'Orléans (LIFO), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), ComplexNetworks, Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Dugue, Nicolas |
| المصدر: | ASONAM 2015 ASONAM 2015, Aug 2015, Paris, France ASONAM |
| بيانات النشر: | HAL CCSD, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], influence, [INFO.INFO-WB] Computer Science [cs]/Web, Computer science, business.industry, [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], Twitter, [INFO.INFO-WB]Computer Science [cs]/Web, web application, Data science, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], World Wide Web, Data visualization, classification, Order (business), Web application, Relevance (information retrieval), social capitalism, Tag cloud, social media analysis, business, Classifier (UML), Social capital |
| الوصف: | International audience; —On Twitter, social capitalists use dedicated hashtags and mutual subscriptions to each other in order to gain followers and to be retweeted. Their methods are successful enough to make them appear as influent users. Indeed, applications dedicated to the influence measurement such as Klout and Kred give high scores to most of these users. Meanwhile, their high number of retweets and followers are not due to the relevance of the content they tweet, but to their social capitalism techniques. In order to be able to detect these users, we train a classifier using a dataset of social capitalists and regular users. We then implement this classifier in a web application that we call DDP. DDP allows users to test whether a Twitter account is a social capitalist or not and to visualize the data we use to make the prediction. DDP allows administrator to crawl data from a lot of users automatically. Furthermore, administrators can manually label Twitter accounts as social capitalists or regular users to add them into the dataset. Finally, administrators can train new classifiers in order to take into account the new Twitter accounts added to the dataset, and thus making evolve the classifier with these new recently collected data. The web application is thus a way to collect data, make evolve the knowledge about social capitalists and to keep detecting them efficiently. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::958e9e40bbf0f179d9ba5a5a7d375de8 https://hal.science/hal-01165487/document |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....958e9e40bbf0f179d9ba5a5a7d375de8 |
| قاعدة البيانات: | OpenAIRE |
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