Themecrowds : multiresolution summaries of Twitter usage

Files in This Item:
File Description SizeFormat 
smucTR.pdf22.11 MBAdobe PDFDownload
Title: Themecrowds : multiresolution summaries of Twitter usage
Authors: Archambault, Daniel
Greene, Derek
Cunningham, Pádraig
Hurley, Neil J.
Permanent link: http://hdl.handle.net/10197/3320
Date: 28-Oct-2011
Abstract: Users of social media sites, such as Twitter, rapidly generate large volumes of text content on a daily basis. Visual summaries are needed to understand what groups of people are saying collectively in this unstructured text data. Users will typically discuss a wide variety of topics, where the number of authors talking about a specific topic can quickly grow or diminish over time, and what the collective is saying about the subject can shift as a situation develops. In this paper, we present a technique that summarises what collections of Twitter users are saying about certain topics over time. As the correct resolution for inspecting the data is unknown in advance, the users are clustered hierarchically over a fixed time interval based on the similarity of their posts. The visualisation technique takes this data structure as its input. Given a topic, it finds the correct resolution of users at each time interval and provides tags to summarise what the collective is discussing. The technique is tested on a large microblogging corpus, consisting of millions of tweets and over a million users.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2011 ACM
Keywords: Twitter;Multiresolution;Dynamic
Subject LCSH: User-generated content
Twitter
Visualization
Content analysis (Communication)
DOI: 10.1145/2065023.2065041
Language: en
Status of Item: Peer reviewed
Is part of: Cantador, I. et al. (eds.). SMUC '11 Proceedings of the 3rd international workshop on Search and mining user-generated contents
Conference Details: Paper presented at the 3rd International Workshop on Search and Mining User-generated Contents (SMUC 2011), 24th - 28th October 2011, Glasgow
Appears in Collections:Clique Research Collection

Show full item record

SCOPUSTM   
Citations 20

15
Last Week
1
Last month
checked on Jun 15, 2018

Page view(s) 10

214
checked on May 25, 2018

Download(s) 50

209
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.