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  1. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (WebKDD/SNA-KDD '07)
  2. Why we twitter: understanding microblogging usage and communities
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Learning to rank typed graph walks: local and global approaches
Exploiting time-varying relationships in statistical relational models
Community detection in large-scale social networks
Node roles and community structure in networks
Inferring agent dynamics from social communication network
Dynamics of collaborative document rating systems
Why we twitter: understanding microblogging usage and communities
Looking for great ideas: analyzing the innovation jam
DBconnect: mining research community on DBLP data
Spectral clustering in telephone call graphs
Applying link-based classification to label blogs
A recommender system based on local random walks and spectral methods
Automated social hierarchy detection through email network analysis

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Why we twitter: understanding microblogging usage and communities

Content Provider ACM Digital Library
Author Finin, Tim Tseng, Belle Song, Xiaodan Java, Akshay
Abstract Microblogging is a new form of communication in which users can describe their current status in short posts distributed by instant messages, mobile phones, email or the Web. Twitter, a popular microblogging tool has seen a lot of growth since it launched in October, 2006. In this paper, we present our observations of the microblogging phenomena by studying the topological and geographical properties of Twitter's social network. We find that people use microblogging to talk about their daily activities and to seek or share information. Finally, we analyze the user intentions associated at a community level and show how users with similar intentions connect with each other.
Starting Page 56
Ending Page 65
Page Count 10
File Format PDF
ISBN 9781595938480
DOI 10.1145/1348549.1348556
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-08-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Microblogging Social network analysis Social media User intent
Content Type Text
Resource Type Article
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