{"title":"机器学习算法在社交网络用户自动分类中的应用","authors":"Bruno Vicente Alves de Lima, V. Machado","doi":"10.1109/CASoN.2012.6412378","DOIUrl":null,"url":null,"abstract":"This work shows the results of an analysis of machine learning algorithms applied in automatic classification for the users of the social network called Scientia.Net. The tests were done using a database with 2000 users. The analysis identifies which algorithm performs better in automatic classification of users within a social network. The algorithms tested were Multilayer Perceptron, Support Vector Machine, Kohonen Network and K-means Algorithm.","PeriodicalId":431370,"journal":{"name":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Machine learning algorithms applied in automatic classification of social network users\",\"authors\":\"Bruno Vicente Alves de Lima, V. Machado\",\"doi\":\"10.1109/CASoN.2012.6412378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work shows the results of an analysis of machine learning algorithms applied in automatic classification for the users of the social network called Scientia.Net. The tests were done using a database with 2000 users. The analysis identifies which algorithm performs better in automatic classification of users within a social network. The algorithms tested were Multilayer Perceptron, Support Vector Machine, Kohonen Network and K-means Algorithm.\",\"PeriodicalId\":431370,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASoN.2012.6412378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASoN.2012.6412378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine learning algorithms applied in automatic classification of social network users
This work shows the results of an analysis of machine learning algorithms applied in automatic classification for the users of the social network called Scientia.Net. The tests were done using a database with 2000 users. The analysis identifies which algorithm performs better in automatic classification of users within a social network. The algorithms tested were Multilayer Perceptron, Support Vector Machine, Kohonen Network and K-means Algorithm.
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