Whom should we sense in “social sensing” - analyzing which users work best for social media now-casting
Open Access
- 30 November 2015
- journal article
- Published by Springer Science and Business Media LLC in EPJ Data Science
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Demographic research with non-representative internet dataInternational Journal of Manpower, 2015
- The Parable of Google Flu: Traps in Big Data AnalysisScience, 2014
- Assessing the bias in samples of large online networksSocial Networks, 2014
- Language independent gender classification on TwitterPublished by Association for Computing Machinery (ACM) ,2013
- Social SensingPublished by Springer Science and Business Media LLC ,2012
- No, You Cannot Predict Elections with TwitterIEEE Internet Computing, 2012
- Web Search Queries Can Predict Stock Market VolumesPLOS ONE, 2012
- Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messagesLanguage Resources and Evaluation, 2012
- Inferring the Location of Twitter Messages Based on User RelationshipsTransactions in GIS, 2011
- Detecting influenza epidemics using search engine query dataNature, 2009