Paper Info
Title
Knowledge Discovery from Geo-Located Tweets for Supporting Advanced Big Data Analytics: A Real-Life Experience.
Abstract
Tourists are an important asset for the economy of the regions they visit. The answer to the question \"where do tourists actually go?\" could be really useful for public administrators and local governments. In particular, they need to understand what tourists actually visit, where they actually spend nights, and so on and so forth. In this paper, we introduce an original approach that exploits geo-located messages posted by Twitter users through their smartphones when they travel. Tools developed within the FollowMe suite track movements of Twitter users that post tweets in an airport and reconstruct their trips within an observed area. To illustrate the potentiality of our method, we present a simple case study in which trips are traced on the map through KML layers shown in Google Earth based on different analysis dimensions.
Year
DOI
Venue
2015
10.1007/978-3-319-23781-7_23
MEDI
Field
DocType
Volume
World Wide Web,Suite,Computer science,Exploit,Knowledge extraction,TRIPS architecture,Big data
Conference
9344
ISSN
Citations 
PageRank 
0302-9743
4
0.59
References 
Authors
10
3
Name
Order
Citations
PageRank
Alfredo Cuzzocrea11751200.90
Giuseppe Psaila2722192.45
Maurizio Toccu362.70