Paper Info
Title
Model of computer architecture for online social networks flexible data analysis: The case of Twitter data.
Abstract
Since several years, there is an increasing interest for new services based on the analysis of data coming from online social networks. Such services can, for example, provide the e-reputation of a product or a company, detect new trends in a commercial, social or political context, etc. The huge quantity of data is an opportunity in term of representativeness but is also difficult to manage. Within Twitter, for example, it appears that the huge stream of data is, most of the time, incompatible with a flexible analysis unless to have high computer resources. The only practical solution is often to observe in a static way a limited portion of a phenomenon in a limited time slot. This paper is devoted to the study of necessary conditions to provide an equilibrium between the computer architecture complexity and the analysis flexibility.
Year
DOI
Venue
2016
10.5555/3192424.3192553
ASONAM '16: Advances in Social Networks Analysis and Mining 2016 Davis California August, 2016
Field
DocType
ISBN
Data science,Data mining,Data architecture,Social network,Data analysis,Computer science,Representativeness heuristic,Artificial intelligence,Phenomenon,Distributed database,Market research,World Wide Web,Computer architecture,User interface,Machine learning
Conference
978-1-5090-2846-7
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Romain Giovanetti100.68
Luigi Lancieri23812.90