”kazuki”

Kazuki Nakajima

Department of Mathematical and Computing Science
Tokyo Institute of Technology

CV

E-mail: nakajima.k.an (at) m.titech.ac.jp

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Publications


Journal Papers (Refereed)

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

  2. Kazuki Nakajima, Kazuyuki Shudo, Naoki Masuda.
    Randomizing hypergraphs preserving degree correlation and local clustering.
    IEEE Transactions on Network Science and Engineering (TNSE), accepted in December 2021.
    [paper] [arXiv] [code]

  3. Kazuki Nakajima, Kazuyuki Shudo.
    Measurement Error of Network Clustering Coefficients Under Randomly Missing Nodes.
    Scientific Reports, Vol. 11, No. 2815, February 2021.
    [paper]

  4. Kazuki Nakajima, Kazuyuki Shudo.
    Estimating High Betweenness Centrality Nodes via Random walk in Social Networks.
    Journal of Information Processing (JIP), Vol. 28, pp. 436-444, August 2020.
    [paper]

Conference Papers (Refereed)

  1. 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, May 2022.
    Research track, 211 papers were accepted out of 780 submissions.
    [arXiv]

  2. 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, August 2020.
    Research track, 217 papers were accepted out of 1279 submissions.
    [paper] [arXiv] [code] [slides] [poster video]

  3. 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, December 2018.
    [paper]

Conference Presentations (without refereed proceeding papers)

  1. 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)

  2. 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)

  3. 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. (in conjunction with KDD 2020) (Refereed,Oral presentation)


Last update: 2021/04/01