Y
Yuto Yamaguchi
Researcher at University of Tsukuba
Publications - 33
Citations - 527
Yuto Yamaguchi is an academic researcher from University of Tsukuba. The author has contributed to research in topics: Social media & Microblogging. The author has an hindex of 10, co-authored 33 publications receiving 480 citations. Previous affiliations of Yuto Yamaguchi include IBM & National Institute of Advanced Industrial Science and Technology.
Papers
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Book ChapterDOI
TURank: twitter user ranking based on user-tweet graph analysis
TL;DR: In this paper, TURank (Twitter User Rank), which is an algorithm for evaluating users' authority scores in Twitter based on link analysis, is proposed, and experimental results show that the proposed algorithm outperforms existing algorithms.
Proceedings ArticleDOI
RSC: Mining and Modeling Temporal Activity in Social Media
TL;DR: This paper analyzes time-stamp data from social media services and finds that the distribution of postings inter-arrival times (IAT) is characterized by four patterns: positive correlation between consecutive IATs, heavy tails, periodic spikes and bimodal distribution.
Proceedings ArticleDOI
Tag-based User Topic Discovery Using Twitter Lists
TL;DR: This paper proposes a method to discover appropriate topics for a user by using Twitter list, and exploits the relationship among lists, tags extracted from the list names, and list members.
Proceedings ArticleDOI
Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams
TL;DR: An online location inference method over social streams that exploits the spatiotemporal correlation between contents and locations is proposed, achieving continuous updates with low computational and storage costs, and better inference accuracy than that of existing methods.
Proceedings ArticleDOI
Landmark-based user location inference in social media
TL;DR: This paper introduces a novel concept of landmarks, which are defined as users with a lot of friends who live in a small region, and proposes a landmark mixture model (LMM) to infer users' location.