Finding effectors in social networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Rumors in a Network: Who's the Culprit?
IEEE Transactions on Information Theory
Spotting Culprits in Epidemics: How Many and Which Ones?
ICDM '12 Proceedings of the 2012 IEEE 12th International Conference on Data Mining
A tool for collecting provenance data in social media
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Seeking provenance of information using social media
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Provenance Data in Social Media
Provenance Data in Social Media
Seeking provenance of information using social media
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In recent years, social media sites are witnessing an information explosion. Determining the reliability of such a large amount of information is a major area of research. Information provenance (aka, sources or origin) provides a way to measure the reliability of information in social networks. The main challenge in seeking provenance is the availability of suitable data consisting of sufficient unique propagation paths. Knowledge of the actual propagation paths for a piece of information will be a valuable asset in provenance search. This paper presents a tool for capturing the propagation network of a given tweet or URL (Uniform Resource Locator) in the Twitter network. Researchers can use this tool to collect information propagation data, design effective strategies for determining the provenance, and gain information about the tweet such as impact, growth rate and users influencing the spread. Two case studies are presented to demonstrate the effectiveness of the system for seeking provenance information.