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    Presentation of the research by Masafumi Iwanaga at ACM Hypertext 2025

    2025年9月18日
    Presentation of the research by Masafumi Iwanaga at ACM Hypertext 2025

    We presented our research findings at the ACM Conference on Hypertext and Social Media 2025. This research focuses on investigating whether friend recommendation in social media accelerates the formation of echo chambers. In a simulation starting from a subgraph of the actual X (formerly Twitter) follow graph, we compared four types of friend recommendation methods: Friend recommendation based on the similarity of followees’ topics (CM) Friend recommendation based on Most-Common-Neighbors…
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    Masafumi Iwanaga, Keishi Tajima

    Analysis of Echo Chamber Formation by Friend Recommendation

    Proc. of 36th ACM Conference on Hypertext and Social Meda,
    pp.38-42, ACM Press, September 2025 (ACM DL)

    research announcement
    Students gave presentation at DEIM2025

    2025年3月19日
    Students gave presentation at DEIM2025

    Three students from the lab gave presentations on their research at DEIM2025 (a domestic forum without peer-review). This year, the following three students gave presentation. Liuyun Ling: “Identifying Accounts Corresponding to Hashtags on Social Media through User Graphs” Souta Ashikaga: “Software Library Recommendation Based on Relevance Estimation to Domain Specific Categories Using Metadata Similarity and Co-occurrence” Kenta Taniguchi: “Predicting player churn by taking into account other gameplay patterns” DEIM of…
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    research announcement
    Presentation of the research by Masafumi Iwanaga at IEEE BigData 2024

    2024年12月18日
    Presentation of the research by Masafumi Iwanaga at IEEE BigData 2024

    This presentation was about a method of suggesting the topic to SNS users. However, it is not about topic recommendations to the orginary users, but rather about suggesting the next topic for users who act as influencers. For example, a user who has gained a steady number of followers through game streaming can’t just keep playing the same game forever to maintain their audience. They eventually need to shift to…
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    Masafumi Iwanaga, Keishi Tajima, Yoko Yamakata

    Next Topic Recommendation for Influencers on Social Media

    Proc. of IEEE International Conference on BigData,
    pp.723-728, IEEE Computer Society Press, December 2024 (IEEE XploreIEEE CS DL)

    research announcement
    Presentation of the research by Mamoru Yamakawa at ACM HT 2023

    2024年9月6日
    Presentation of the research by Mamoru Yamakawa at ACM HT 2023

    Makoto Yamakawa presented his research findings at the ACM Conference on Hypertext and Social Media. This year, the conference was held in Rome. The current route from Japan to Europe looks like this because we can’t fly over Russia. This is one of the entrances to the conference venue. (Although we used a different entrance for this conference.) It is located right next to Piazza di Spagna and is sometimes…
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    research announcement
    Presentation by Hirotaka Nagashima at WWW Conference 2024

    2024年5月17日
    Presentation by Hirotaka Nagashima at WWW Conference 2024

    Hirotaka Nagashima from our group gave a presentation at The Web Conference 2024. The presentation was about identification of descriptions that indicate the “expiration time of information value.” For example, suppose a text includes phrases like those below. “Please submit application by 17:00 tomorrow. “Live streaming starting 19:00 tonight!” The informational value of such a text must largely decrease after the time described in these descriptions. Therefore, if we can…
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