A system for extracting structural information from Social Network accounts
Author:
Affiliation:
1. DIIES; University ‘Mediterranea’ of Reggio Calabria; Via Graziella, Località Feo di Vito 89122 Reggio Calabria Italy
Publisher
Wiley
Subject
Software
Reference45 articles.
1. OFCOM The independent regulator and competition authority for the UK communications industries Social Networking: A quantitative and qualitative research report into attitudes, behaviours and use 2009 http://stakeholders.ofcom.org.uk/binaries/research/media-literacy/report1.pdf
2. Bridge analysis in a social internetworking scenario;Buccafurri;Information Sciences,2013
3. Moving from social networks to social internetworking scenarios: the crawling perspective;Buccafurri;Information Sciences,2014
4. Bröcheler M Pugliese A Subrahmanian VS Probabilistic subgraph matching on huge social networks Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) 2011 271 278
5. Chen W Wang Y Yang S Efficient influence maximization in social networks Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009) 2009 199 208
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Intelligent Behavioural Analysis of Social Network Data for the Purposes of Accounting and Control;2022 12th International Conference on Advanced Computer Information Technologies (ACIT);2022-09-26
2. Social Network Analysis of Twitter Tweets;2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2021-12-17
3. Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity;Journal of Information Science;2020-12-20
4. A Novel Query Language for Data Extraction from Social Networks;Proceedings of the 15th International Conference on Web Information Systems and Technologies;2019
5. Unified domain-specific language for collecting and processing data of social media;Journal of Intelligent Information Systems;2018-05-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3