Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Why we search: visualizing and predicting user behavior
Proceedings of the 16th international conference on World Wide Web
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Proceedings of the first workshop on Online social networks
Beyond Microblogging: Conversation and Collaboration via Twitter
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Conversational tagging in twitter
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Outtweeting the twitterers - predicting information cascades in microblogs
WOSN'10 Proceedings of the 3rd conference on Online social networks
Traffic in Social Media II: Modeling Bursty Popularity
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Patterns of temporal variation in online media
Proceedings of the fourth ACM international conference on Web search and data mining
The tube over time: characterizing popularity growth of youtube videos
Proceedings of the fourth ACM international conference on Web search and data mining
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Truthy: mapping the spread of astroturf in microblog streams
Proceedings of the 20th international conference companion on World wide web
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Proceedings of the 20th international conference on World wide web
Who says what to whom on twitter
Proceedings of the 20th international conference on World wide web
Twitter under crisis: can we trust what we RT?
Proceedings of the First Workshop on Social Media Analytics
Hip and trendy: Characterizing emerging trends on Twitter
Journal of the American Society for Information Science and Technology
Will this #hashtag be popular tomorrow?
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
On recommending hashtags in twitter networks
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
There is no deadline: time evolution of Wikipedia discussions
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Studying page life patterns in dynamical web
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Clustering memes in social media
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Mining users' activity on large Twitter text data
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Identifying dynamics and collective behaviors in microblogging traces
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Spatio-temporal and events based analysis of topic popularity in twitter
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Traveling trends: social butterflies or frequent fliers?
Proceedings of the first ACM conference on Online social networks
Characterizing the life cycle of online news stories using social media reactions
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Proceedings of the 7th ACM international conference on Web search and data mining
A time-based collective factorization for topic discovery and monitoring in news
Proceedings of the 23rd international conference on World wide web
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Micro-blogging systems such as Twitter expose digital traces of social discourse with an unprecedented degree of resolution of individual behaviors. They offer an opportunity to investigate how a large-scale social system responds to exogenous or endogenous stimuli, and to disentangle the temporal, spatial and topical aspects of users' activity. Here we focus on spikes of collective attention in Twitter, and specifically on peaks in the popularity of hashtags. Users employ hashtags as a form of social annotation, to define a shared context for a specific event, topic, or meme. We analyze a large-scale record of Twitter activity and find that the evolution of hashtag popularity over time defines discrete classes of hashtags. We link these dynamical classes to the events the hashtags represent and use text mining techniques to provide a semantic characterization of the hashtag classes. Moreover, we track the propagation of hashtags in the Twitter social network and find that epidemic spreading plays a minor role in hashtag popularity, which is mostly driven by exogenous factors.