Paper Info
Title
An Innovative Framework for Effectively and Efficiently Supporting Big Data Analytics over Geo-Located Mobile Social Media.
Abstract
Mobile Social Media are gaining momentum in the broader context of Big Data Analytics, where the main issue is represented by the problem of extracting interesting and actionable knowledge from big data repositories. Mobile social media sources like Twitter and Instagram are indeed producing massive amounts of data (namely, posts) that represent a very rich source of knowledge for predictive analytics. In line with this emerging trend, this paper proposes an innovative approach for effectively and efficiently supporting big data analytics over geo-localized mobile social media, with particular emphasis with the context of modern tourist information systems. In this context, the innovative FollowMe suite, which implements the proposed methodology, is also described in details. We complement our analytical contribution with a real-life case study focusing on the EXPO 2015 event in Milan, Italy which clearly shows benefits and potentialities of our proposed big data analytics framework.
Year
DOI
Venue
2016
10.1145/2938503.2938517
IDEAS
Field
DocType
Citations 
Data science,Information system,Data mining,Suite,Computer science,Cultural analytics,Analytics,World Wide Web,Social media,Predictive analytics,Semantic analytics,Big data,Database
Conference
2
PageRank 
References 
Authors
0.37
22
3
Name
Order
Citations
PageRank
Alfredo Cuzzocrea11751200.90
Giuseppe Psaila2722192.45
Maurizio Toccu320.71