What Does an Information Diffusion Model Tell about Social Network Structure?. - Takayasu Fushimi; Takashi Kawazoe; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (PKAW, 2008)

Finding Relation between PageRank and Voter Model. - Takayasu Fushimi; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda; Kouzou Ohara (PKAW, 2010)

Speeding Up Bipartite Graph Visualization Method. - Takayasu Fushimi; Yamato Kubota; Kazumi Saito; Masahiro Kimura; Kouzou Ohara; Hiroshi Motoda (Australasian Conference on Artificial Intelligence, 2011)

Extracting Communities in Networks Based on Functional Properties of Nodes. - Takayasu Fushimi; Kazumi Saito; Kazuhiro Kazama (PKAW, 2012)

Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. - Shoko Kato; Akihiro Koide; Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (PKAW, 2012)

Estimating Network Structure from Anonymous Ego-centric Information. - Takayasu Fushimi; Kazumi Saito; Kazuhiro Kazama (PKAW, 2014)

Similarity Search by Generating Pivots Based on Manhattan Distance. - Eri Kobayashi; Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda (PRICAI, 2014)

Comparison of influence measures on structural changes focused on node functions. - Takayasu Fushimi; Tetsuji Satoh; Kazumi Saito; Kazuhiro Kazama (iiWAS, 2015)

Functional cluster extraction from large spatial networks. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (ASONAM, 2016)

Extraction method of typical purchase patterns based on motif analysis of directed graphs. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (iiWAS, 2016)

Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights. - Takayasu Fushimi; Tetsuji Satoh; Kazumi Saito; Kazuhiro Kazama; Noriko Kando (SocInfo (2), 2016)

Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (COMPLEX NETWORKS, 2017)

Graph generation method based on relative value of neighbor edges. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (iiWAS, 2017)

Category reformation using purchase logs. - Kouga Kobayashi; Yuri Nozaki; Takayasu Fushimi; Tetsuji Satoh (iiWAS, 2017)

Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (ISMIS, 2017)

Constructing and visualizing topic forests for text streams. - Takayasu Fushimi; Tetsuji Satoh (WI, 2017)

Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (J. Inf. Process., 2017)

A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (COMPLEX NETWORKS (1), 2018)

Modeling Opinion Formation by Incorporating Users' Expertise and Friendshipness. - Takayasu Fushimi; Mio Ono (iiWAS, 2018)

Growth Analysis of Purchase History Graph Based on Relative Value of Edge Multiplicity. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (iiWAS, 2018)

High-Speed Clustering of Regional Photos Using Representative Photos of Different Regions. - Takayasu Fushimi; Ryota Mori (WI, 2018)

Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (Appl. Netw. Sci., 2018)

Extraction of user demands based on similar tweets graph. - Takayasu Fushimi; Kennichi Kanno (ASONAM, 2019)

Facility Location Problem on Network Based on Group Centrality Measure Considering Cooperation and Competition. - Takayasu Fushimi; Seiya Okubo; Kazumi Saito (COMPLEX NETWORKS (1), 2019)

Construction of Histogram with Variable Bin-Width Based on Change Point Detection. - Takayasu Fushimi; Kiyoto Iwasaki; Seiya Okubo; Kazumi Saito (DS, 2019)

Structural Transition Analysis of Dynamic Network Based on Roles of Adding Edges. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (iiWAS, 2019)

Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling. - Takayasu Fushimi; Kazumi Saito; Tetsuo Ikeda; Kazuhiro Kazama (Appl. Netw. Sci., 2019)

Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (ASONAM, 2020)

Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (IEEE BigData, 2020)

Stimulation Index of Cascading Transmission in Information Diffusion over Social Networks. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (COMPLEX NETWORKS (1), 2020)

Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. - Kouzou Ohara; Takayasu Fushimi; Kazumi Saito; Masahiro Kimura; Hiroshi Motoda (DS, 2020)

Fast Clustering of Hypergraphs Based on Bipartite-Edge Restoration and Node Reachability. - Shuta Ito; Takayasu Fushimi (iiWAS, 2020)

Multiple perspective centrality measures based on facility location problem under inter-group competitive environment. - Takayasu Fushimi; Seiya Okubo; Kazumi Saito (Appl. Netw. Sci., 2020)

Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (ASONAM, 2021)

High-Speed and Noise-Robust Embedding of Hypergraphs Based on Double-Centered Incidence Matrix. - Shuta Ito; Takayasu Fushimi (COMPLEX NETWORKS, 2021)

Motif-Role Extraction in Uncertain Graph Based on Efficient Ensembles. - Soshi Naito; Takayasu Fushimi (COMPLEX NETWORKS, 2021)

Efficient computation of target-oriented link criticalness centrality in uncertain graphs. - Kazumi Saito; Takayasu Fushimi; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Intell. Data Anal., 2021)

General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. - Takayasu Fushimi; Kazumi Saito; Kouzou Ohara; Masahiro Kimura; Hiroshi Motoda (Soc. Netw. Anal. Min., 2021)

Visualization and Extraction of Important Structural Changes via Dynamic Hypergraph Embedding. - Shuta Ito; Takayasu Fushimi (WI/IAT, 2022)

Comparative Analysis of Information Spreading Focused on Topics and Emotions via Temporal Point Process. - Kennosuke Yoshida; Takayasu Fushimi (WI/IAT, 2022)

Improving accuracy of expected frequency of uncertain roles based on efficient ensembling. - Soshi Naito; Takayasu Fushimi (Appl. Netw. Sci., 2022)

Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (Soc. Netw. Anal. Min., 2022)

Predicting stimulation index of information transmissions by local structural features in social networks. - Kazufumi Inafuku; Takayasu Fushimi; Tetsuji Satoh (Soc. Netw. Anal. Min., 2022)

Classification of Following Intentions Using Multi-layer Motif Analysis of Communication Density and Symmetry Among Users. - Takayasu Fushimi; Takumi Miyazaki (COMPLEX NETWORKS (3), 2023)

Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. - Takayasu Fushimi; Kazuki Sakamoto (DS, 2023)

A Method for Presenting Multiple Routes Considering Distance and Landscape Probability for Automotive Navigation Systems. - Takayasu Fushimi; Hayato Otaki (WI/IAT, 2023)

Visual Insights: Enhancing Online News Maps with Relevant Illustrations. - Taichi Nakajima; Takayasu Fushimi (WI/IAT, 2023)

Constructing outlier-free histograms with variable bin-width based on distance minimization. - Takayasu Fushimi; Kazumi Saito; Hiroshi Motoda (Intell. Data Anal., 2023)

Dynamic hypergraph embedding onto concentric hypersphere manifold intended for effective visualization. - Shuta Ito; Takayasu Fushimi (Appl. Netw. Sci., 2023)

Path2Vec: Representation Learning for Node Sequences Based on Contrastive Learning. - Takayasu Fushimi; Yuki Kawasaki (ASONAM (4), 2024)

Estimating Anime Sacred Sites Based on Geolocalization by Hybrid Model of Classification and Regression. - Weixiang Wang; Kaito Honda; Takayasu Fushimi (WI/IAT, 2024)

Extraction of Potential Regional Characteristics Based on Community Division Considering Both Positional and Semantic Cohesiveness. - Takayasu Fushimi; Emi Matsuo (New Gener. Comput., 2025)