ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Inferring networks of diffusion and influence
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Outtweeting the twitterers - predicting information cascades in microblogs
WOSN'10 Proceedings of the 3rd conference on Online social networks
Modeling Information Diffusion in Implicit Networks
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Discovering Emerging Topics in Social Streams via Link Anomaly Detection
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
A predictive model for the temporal dynamics of information diffusion in online social networks
Proceedings of the 21st international conference companion on World Wide Web
Structure and dynamics of information pathways in online media
Proceedings of the sixth ACM international conference on Web search and data mining
SONDY: an open source platform for social dynamics mining and analysis
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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Online social networks play a major role in the spread of information at very large scale and it becomes essential to provide means to analyze this phenomenon. Analyzing information diffusion proves to be a challenging task since the raw data produced by users of these networks are a flood of ideas, recommendations, opinions, etc. The aim of this PhD work is to help in the understanding of this phenomenon. So far, our contributions are the following: (i) a survey of developments in the field; (ii) T-BaSIC, a graph-based model for information diffusion prediction; (iii) SONDY, an open source platform that helps understanding social network users' interests and activity by providing emerging topics and events detection as well as network analysis functionalities.