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- W1965408265 abstract "Social networking websites have become a vital means of communication that can provide information on various topics. The real time nature of the information published on social networking websites coupled with their accessibility as a publishing platform make them a powerful tool for information gathering. Furthermore, many individuals utilize these sorts of platforms to share their knowledge and opinions with others. While this information is useful, there exist a number of challenges to effectively use social networks to gather information about a topic. We propose a methodology that automatically detects sub-topics and groups the social networking messages accordingly." @default.
- W1965408265 created "2016-06-24" @default.
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- W1965408265 date "2011-10-01" @default.
- W1965408265 modified "2023-09-26" @default.
- W1965408265 title "From Earthquakes to #morecowbell: Identifying Sub-topics in Social Network Communications" @default.
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- W1965408265 doi "https://doi.org/10.1109/passat/socialcom.2011.114" @default.
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