Miyata Lab / 宮田研究室

Department of Information Science, College of Humanities and Sciences, Nihon University / 日本大学 文理学部 情報科学科

Response Analyzer

br_analyzer

Blog articles typically have fewer links and backlinks compared to regular web pages. Due to this, it has been challenging to identify influential blog articles. In this research, we aim to efficiently discover influential blog articles by conducting a multifaceted analysis and visualization of the communication patterns within the blogosphere.

Awards
  1. 2008.10 IADIS International Conference WWW/Internet 2008 Best Paper in the area of Web2.0: A Communication-based Approach for Detecting Influential Blog Entries (Akihiro Miyata, Harumi Kawashima and Hidenori Okuda).
Journal articles
  1. Akihiro Miyata, Harumi Kawashima, and Hidenori Okuda: A Communication-based Approach for Detecting Influential Blog Entries. IADIS Iinternational Journal on WWW/INTERNET, Vol.7, No.1, pp.1–12 (2009).
International conferences
  1. Akihiro Miyata, Harumi Kawashima, and Hidenori Okuda: A Communication-based Approach for Detecting Influential Blog Entries. Proceedings of the IADIS International Conference on WWW/Internet(WWW/Internet 2008), pp.235–242 (2008).
  2. Akihiro Miyata, Hisanobu Matsuoka, Shinichi Okano, Tomomi Ishiuchi, Noriyasu Arakawa, and Yasuhisa Kato: Response of a Blog Entry. Proceedings of Third International Conference on Collaboration Technologies(CollabTech 2007) (2007).

This project was conducted when Miyata worked for NTT Cyber Solutions Laboratories.

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