論文・発表リスト


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プレプリント

  1. Kazuki Nakajima, Masanao Kodakari, and Masaki Aida.
    Sampling nodes and hyperedges via random walks on large hypergraphs.
    [arXiv]

査読有り論文誌

  1. Kazuki Nakajima, Takeaki Uno.
    Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models.
    Social Network Analysis and Mining. Vol. 15, No. 5 (2025).
    [paper] [arXiv] [code]
    メモ 都立大助教の時の論文です．ノードに属性情報がついたハイパーグラフのコミュニティ構造を推定する手法と可視化する手法を調べた論文です．JST ACT-X の研究プロジェクトの成果です．

  2. Takumi Sakiyama, Kazuki Nakajima, Masaki Aida.
    Efficient intervention in the spread of misinformation in social networks.
    IEEE Access. Vol. 12, pp. 133489-133498 (2024).
    [paper]
    メモ 都立大助教の時の論文です．誤情報と訂正情報がソーシャルネットワーク上で同時に拡散する場合に誤情報の拡散を抑制する手法を提案した論文です．グラフの参照モデルを使って分析した点がお気に入りポイントです．第一著者は都立大会田研究室の学生さんです．

  3. Kazuki Nakajima, Ruodan Liu, Kazuyuki Shudo, Naoki Masuda.
    Quantifying gender imbalance in East Asian academia: Research career and citation practice.
    Journal of Informetrics. Vol. 17, Article No. 101460 (2023).
    [paper] [arXiv] [プレスリリース（神戸大学）] [朝日新聞デジタル] [ITMedia NEWS]
    メモ SUNY Buffalo 滞在時のポスドクの時の成果です．日中韓の学術界の性差を調べた論文です．お気に入りの論文です．

  4. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Higher-order rich-club phenomenon in collaborative research grant networks.
    Scientometrics. Vol. 128, pp. 2429–2446 (2023).
    [paper] [arXiv] [code]
    メモ SUNY Buffalo 滞在時の成果です．米国の共同研究助成ネットワークのリッチ・クラブ構造を調べた論文です．コードを公開しています．

  5. Kazuki Nakajima, Kazuyuki Shudo.
    Random walk sampling in social networks involving private nodes.
    ACM Transactions on Knowledge Discovery from Data. Vol. 17, Article No. 51 (2022).
    [paper] [arXiv]
    メモ 東工大博士課程の時の成果です．隣接情報が非公開のノードが存在するソーシャル・ネットワークの特徴量推定手法を提案した論文です．KDD 2020 論文の拡張版です．

  6. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Randomizing hypergraphs preserving degree correlation and local clustering.
    IEEE Transactions on Network Science and Engineering. Vol. 9, pp. 1139–1153 (2022).
    [paper] [arXiv] [code]
    メモ SUNY Buffalo 滞在時の成果です．現実のハイパーグラフの構造やダイナミクスを特徴付ける上で役立つ参照モデルを提案した論文です．ハイパーグラフ分析研究の記念すべき1本目の論文です．コード を公開しています．

  7. Mei Fukuda, Kazuki Nakajima, Kazuyuki Shudo.
    Estimating the Bot Population on Twitter via Random Walk Based Sampling.
    IEEE Access. Vol. 10, pp. 17201–17211 (2022).
    [paper]

  8. Kazuki Nakajima, Kazuyuki Shudo.
    Measurement Error of Network Clustering Coefficients Under Randomly Missing Nodes.
    Scientific Reports. Vol. 11, Article No. 2815 (2021).
    [paper]
    メモ 東工大博士課程の時の成果です．元のネットワークのノードがランダムに欠落していた場合のクラスタ係数の測定誤差を解析的に調べた論文です．KDD 2020 論文の解析方法を応用しました．

  9. Kazuki Nakajima, Kazuyuki Shudo.
    Estimating High Betweenness Centrality Nodes via Random walk in Social Networks.
    Journal of Information Processing. Vol. 28, pp. 436–444 (2020).
    [paper]
    メモ 東工大修士課程の時の成果です．IEEE SocialCom 論文の拡張版です．

査読有り国際会議論文

  1. Kazuki Nakajima, Takeaki Uno.
    Inference and visualization of community structure in grant collaboration hypergraphs.
    The 13th International Conference on Complex Networks and Their Applications. (2024). To appear.
    メモ 都立大助教の時の成果です．米国の共同研究助成ネットワークのコミュニティ構造の推定と可視化に関する論文です．

  2. Masanao Kodakari, Kazuki Nakajima, and Masaki Aida.
    Estimating hyperedge size distribution via random walk on hypergraphs.
    The 13th International Conference on Complex Networks and Their Applications. (2024). To appear.

  3. Masaki Aida, Kazuki Nakajima, and Chisa Takano.
    Early detection of user dynamics overheating through frequency analysis of time-series data.
    The 22nd IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2024) Workshop. (2024). To appear.

  4. Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, and George Fletcher.
    Quantifying gendered citation imbalance in computer science conferences.
    7th AAAI Conference on AI, Ethics, and Society (AIES 2024). pp. 1011-1022 (2024).
    Out of 468 submissions, 32.1% of the papers were accepted.
    [paper] [arXiv]
    メモ 都立大助教の時の成果です．情報科学分野の国際会議論文の引用の性差を調べた論文です．JST ASPIRE の研究プロジェクトの成果です．

  5. Yu Usui, Kazuki Nakajima, Chisa Takano, Masaki Aida.
    Perturbation Theory of Online User Dynamics with Respect to Change in Social Network Structures.
    Proceedings of the IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC 2023). pp. 0401-0407 (2023).
    [paper]

  6. Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo.
    Random Hypergraph Model Preserving Two-Mode Clustering Coefficient.
    Proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2023). pp. 191–196 (2023).
    [paper]

  7. Kazuki Nakajima, Kazuyuki Shudo.
    Social Graph Restoration via Random Walk Sampling.
    Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE 2022). pp. 806–819 (2022).
    Full research paper. Out of 780 submissions, 27.1% of the papers were accepted.
    [paper] [arXiv] [code]
    メモ 東工大博士課程の時の成果です．ソーシャル・グラフの一部のデータをサンプリングして全体のグラフ構造を復元する手法を提案した論文です．2本目のトップ会議論文です．

  8. Kazuki Nakajima, Kazuyuki Shudo.
    Estimating Properties of Social Networks via Random Walk considering Private Nodes.
    Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020). pp. 720–730 (2020).
    Full research paper. Out of 1,279 submissions, 17.0% of the papers were accepted.
    [paper] [arXiv] [code]
    メモ 東工大博士課程の時の成果です．隣接情報が非公開のノードが存在するソーシャル・ネットワークの特徴量推定手法を提案した論文です．トップ会議に初めて採択された論文です．論文のページに行くと，私の拙い英語発表の動画を見ることが出来ます．

  9. Kazuki Nakajima, Kenta Iwasaki, Toshiki Matsumura, Kazuyuki Shudo.
    Estimating Top-k Betweenness Centrality Nodes in Online Social Networks.
    Proceedings of the 11th IEEE International Conference on Social Computing and Networking (SocialCom 2018). pp. 1128–1135 (2018).
    Full research paper.
    [paper]
    メモ 東工大修士課程の時の成果です．研究者デビュー論文です．

国際会議・国際ワークショップでの研究発表

  1. Kazuki Nakajima, Masanao Kodakari, and Masaki Aida.
    Hypergraph sampling via random walk and its application to OpenAlex database.
    WAW 2025. June-July 2025.

  2. Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, and George Fletcher.
    Quantitative analysis of citation imbalance in computer science using reference models.
    NetSci 2025. June 2025.
    Oral presentation.

  3. Masanao Kodakari, Kazuki Nakajima, and Masaki Aida.
    Estimating node degree distribution via random walk in hypergraphs.
    NOLTA 2024. December 2024.
    Oral presentation.

  4. Kazuki Nakajima, Takeaki Uno.
    Non-strong community structure in collaborative research grant hypergraphs.
    CCS 2024. September 2024.
    Poster presentation.

  5. Kazuki Nakajima, Yuya Sasaki.
    Quantifying citation imbalance in computer science: Gender and conference tier.
    ICSSI 2024. July 2024.
    Poster presentation.

  6. Kazuki Nakajima, Takeaki Uno.
    HyperNEO: Inference of community structure in attributed hypergraphs.
    NetSci 2024. June 2024.
    Oral presentation.

  7. Kazuki Nakajima, Takeaki Uno.
    HyperNEO: Inferring community structure in attributed hypergraphs.
    The 5th International Workshop on Machine Learning on Graphs (MLoG). March 2024.
    Poster presentation.

  8. Ryusei Yamamoto, Kazuki Nakajima, Masaki Aida.
    Exploring a model of interaction between structural change in online social networks and user dynamics.
    The 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences 2024 (KJCCS 2024). January 2024.
    Poster presentation.

  9. Takumi Sakiyama, Kazuki Nakajima, Masaki Aida.
    Intervention Strategies to Minimize the Spread of Misinformation.
    The 12th International Conference on Complex Networks and Their Applications. November 2023.
    Poster presentation.

  10. Ryusei Yamamoto, Kazuki Nakajima, Masaki Aida.
    Impact of Structural Changes in Networks induced by the Altered SIS Model on Online User Dynamics.
    The 12th International Conference on Complex Networks and Their Applications. November 2023.
    Poster presentation.

  11. Kazuki Nakajima, Ruodan Liu, Kazuyuki Shudo, Naoki Masuda.
    Quantitative analysis of gender imbalance in East Asian academia.
    The 2nd International Conference on the Science of Science and Innovation (ICSSI 2023). June 2023.
    Poster presentation.

  12. Rikuya Miyashita, Kazuki Nakajima, Mei Fukuda, Kazuyuki Shudo.
    Randomizing Hypergraphs Preserving Two-mode Clustering Coefficient.
    The 2023 IEEE International Conference on Big Data and Smart Computing (BigComp 2023). February 2023.
    Poster presentation.

  13. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Random hypergraph models preserving degree correlation and local clustering.
    The 11th International Conference on Complex Networks and Their Applications. November 2022.
    Oral presentation.

  14. Kazuki Nakajima.
    Higher-order rich-club phenomenon in collaborative research grant networks.
    Socioeconomic networks and network science workshop 2022. August 2022.
    Oral presentation.

  15. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Higher-order rich-club phenomenon in research funding.
    The fifth Northeast Regional Conference on Complex Systems (NERCCS 2022). March 2022.
    Oral presentation.

  16. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Configuration models for hypergraphs preserving local quantities of nodes and hyperedges.
    The fourth Northeast Regional Conference on Complex Systems (NERCCS 2021). March 2021.
    Poster presentation.

  17. Mei Fukuda, Kazuki Nakajima, Kazuyuki Shudo.
    Comparison of Graph Generation Models focusing on Accuracy and Variation.
    The 16th International Workshop on Mining and Learning with Graphs (MLG 2020). August 2020.
    Oral presentation.

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