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- W2055446587 abstract "Social network services (SNSs) serve numerous users with large amounts of information of different kinds. On an SNS, information will propagate on a user network, which is represented as a complex network in general but can be reformed as a tree by using the direction of propagation and allowing duplication. Our goal in this study was to show the propagation of a particular kind of information on an SNS, as well as the clustering of a similar propagation scheme for each user. For this goal, we used elastic tree pattern matching to calculate the similarity of two tree structures. A set of users are propagated from source to destination in the same or similar way, and these users are given information from a similar source. We also aimed to find the high-influence person who is at the start of the same or similar propagation, which will indicate that she/he is the moderator of a topic. We used tumblr data for the experiment. Findings indicated that the similar part of each information propagation tree on tumblr was too small for the clustering propagation pattern." @default.
- W2055446587 created "2016-06-24" @default.
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- W2055446587 date "2014-12-01" @default.
- W2055446587 modified "2023-09-26" @default.
- W2055446587 title "Information flow clustering via similarity of a propagation tree" @default.
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- W2055446587 doi "https://doi.org/10.1109/scis-isis.2014.7044773" @default.
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