Paper Info
Title
TUCAN: Twitter user centric ANalyzer
Abstract
Twitter has attracted millions of users that generate a humongous flow of information at constant pace. The research community has thus started proposing tools to extract meaningful information from tweets. In this paper, we take a different angle from the mainstream of previous works: we explicitly target the analysis of the timeline of tweets from "single users". We define a framework - named TUCAN - to compare information offered by the target users over time, and to pinpoint recurrent topics or topics of interest. First, tweets belonging to the same time window are aggregated into "bird songs". Several filtering procedures can be selected to remove stop-words and reduce noise. Then, each pair of bird songs is compared using a similarity score to automatically highlight the most common terms, thus highlighting recurrent or persistent topics. TUCAN can be naturally applied to compare bird song pairs generated from timelines of different users. By showing actual results for both public profiles and anonymous users, we show how TUCAN is useful to highlight meaningful information from a target user's Twitter timeline.
Year
DOI
Venue
2013
10.1007/978-3-319-13590-8_4
Online Social Media Analysis and Visualization
Keywords
Field
DocType
twitter user centric,meaningful information,actual result,different angle,bird song pair,target user,time window,recurrent topic,different user,twitter timeline,bird song,user interfaces,information retrieval
Data mining,Information flow (information theory),World Wide Web,Social media,Web mining,Computer science,Microblogging,Social network analysis,Timeline,Topic model,User interface,User-centered design
Conference
ISSN
Citations 
PageRank 
2190-5428
1
0.35
References 
Authors
15
5
Name
Order
Citations
PageRank
Luigi Grimaudo1687.86
Han Song210.35
Mario Baldi320.91
Marco Mellia42748204.65
Maurizio M. Munafò546429.47