Robust Estimation of Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. - Sho Tsugawa; Kazuya Takahashi; Hiroyuki Ohsaki; Makoto Imase (SAINT, 2010)

Ambient Suite: enhancing communication among multiple participants. - Kazuyuki Fujita; Yuichi Itoh; Hiroyuki Ohsaki; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Sho Tsugawa; Kosuke Nakajima; Yusuke Hayashi; Fumio Kishino (Advances in Computer Entertainment Technology, 2011)

Quasi-realtime social network construction with heterogeneous sensors in ambient environment. - Sho Tsugawa; Hiroyuki Ohsaki; Yuichi Itoh; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Makoto Imase (Advances in Computer Entertainment Technology, 2011)

Lightweight Distributed Method for Connectivity-based Clustering Based on Schelling's Model. - Sho Tsugawa; Hiroyuki Ohsaki; Makoto Imase (AINA Workshops, 2012)

Ambient Suite: Room-shaped information environment for interpersonal communication. - Kazuyuki Fujita; Yuichi Itoh; Hiroyuki Ohsaki; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Sho Tsugawa; Kosuke Nakajima; Yusuke Hayashi; Fumio Kishino (VR, 2012)

Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. - Sho Tsugawa; Hiroyuki Ohsaki; Yuichi Itoh; Naoaki Ono; Keiichiro Kagawa; Kazuki Takashima; Makoto Imase (VR, 2012)

Lightweight and Distributed Connectivity-Based Clustering Derived from Schelling's Model. - Sho Tsugawa; Hiroyuki Ohsaki; Makoto Imase (IEICE Trans. Commun., 2012)

Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. - Sho Tsugawa; Hiroyuki Ohsaki; Makoto Imase (J. Inf. Process., 2012)

On the robustness of centrality measures against link weight quantization in real weighted social networks. - Masanori Ishino; Sho Tsugawa; Hiroyuki Ohsaki (VR, 2013)

On estimating depressive tendencies of Twitter users utilizing their tweet data. - Sho Tsugawa; Yukiko Mogi; Yusuke Kikuchi; Fumio Kishino; Kazuyuki Fujita; Yuichi Itoh; Hiroyuki Ohsaki (VR, 2013)

Emergence of Fractals in Social Networks: Analysis of Community Structure and Interaction Locality. - Sho Tsugawa; Hiroyuki Ohsaki (COMPSAC, 2014)

Analysis of Blacklist Update Frequency for Countering Malware Attacks on Websites. - Takeshi Yagi; Junichi Murayama; Takeo Hariu; Sho Tsugawa; Hiroyuki Ohsaki; Masayuki Murata 001 (IEICE Trans. Commun., 2014)

Influence Maximization Problem for Unknown Social Networks. - Shodai Mihara; Sho Tsugawa; Hiroyuki Ohsaki (ASONAM, 2015)

Recognizing Depression from Twitter Activity. - Sho Tsugawa; Yusuke Kikuchi; Fumio Kishino; Kosuke Nakajima; Yuichi Itoh; Hiroyuki Ohsaki (CHI, 2015)

Analysis of the Robustness of Degree Centrality against Random Errors in Graphs. - Sho Tsugawa; Hiroyuki Ohsaki (CompleNet, 2015)

Negative Messages Spread Rapidly and Widely on Social Media. - Sho Tsugawa; Hiroyuki Ohsaki (COSN, 2015)

On the robustness of centrality measures against link weight quantization in social networks. - Sho Tsugawa; Yukihiro Matsumoto 002; Hiroyuki Ohsaki (Comput. Math. Organ. Theory, 2015)

Community Structure and Interaction Locality in Social Networks. - Sho Tsugawa; Hiroyuki Ohsaki (J. Inf. Process., 2015)

Estimating influence of social media users from sampled social networks. - Kazuma Kimura; Sho Tsugawa (ASONAM, 2016)

Robustness of Networks with Skewed Degree Distributions under Strategic Node Protection. - Yui Kazawa; Sho Tsugawa (COMPSAC Workshops, 2016)

On the Robustness of Influence Maximization Algorithms against Non-Adversarial Perturbations. - Sho Tsugawa; Hiroyuki Ohsaki (ASONAM, 2017)

On the Effectiveness of Link Addition for Improving Robustness of Multiplex Networks against Layer Node-Based Attack. - Yui Kazawa; Sho Tsugawa (COMPSAC (1), 2017)

On the effectiveness of random jumps in an influence maximization algorithm for unknown graphs. - Shodai Mihara; Sho Tsugawa; Hiroyuki Ohsaki (ICOIN, 2017)

A Survey on Modeling of Human States in Communication Behavior. - Sumaru Niida; Sho Tsugawa; Mutsumi Suganuma; Naoki Wakamiya (IEICE Trans. Commun., 2017)

On the relation between message sentiment and its virality on social media. - Sho Tsugawa; Hiroyuki Ohsaki (Soc. Netw. Anal. Min., 2017)

The impact of social network structure on the growth and survival of online communities. - Sho Tsugawa; Sumaru Niida (ASONAM, 2019)

Analysis of the Evolution of the Influence of Central Nodes in a Twitter Social Network. - Minami Uehara; Sho Tsugawa (COMPSAC (1), 2019)

Empirical Analysis of the Relation between Community Structure and Cascading Retweet Diffusion. - Sho Tsugawa (ICWSM, 2019)

Effects of Truss Structure of Social Network on Information Diffusion Among Twitter Users. - Nako Tsuda; Sho Tsugawa (INCoS, 2019)

A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking. - Sho Tsugawa (IEICE Trans. Commun., 2019)

Robustness of Influence Maximization Against Non-adversarial Perturbations. - Sho Tsugawa; Hiroyuki Ohsaki (Influence and Behavior Analysis in Social Networks and Social Media, 2019)

Effects of Community Structure in Social Networks on Speed of Information Diffusion. - Nako Tsuda; Sho Tsugawa (COMPLEX NETWORKS (1), 2020)

On the Effectiveness of Random Node Sampling in Influence Maximization on Unknown Graph. - Yuki Wakisaka; Kazuyuki Yamashita; Sho Tsugawa; Hiroyuki Ohsaki (COMPSAC, 2020)

Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set. - Sho Tsugawa; Hiroyuki Ohsaki (IEEE Access, 2020)

Limitations of link deletion for suppressing real information diffusion on social media. - Shiori Furukawa; Sho Tsugawa (ASONAM, 2021)

Effectiveness of a Data-based Influence Maximization Algorithm Using Information Diffusion Cascades. - Takuya Nagase; Sho Tsugawa (COMPSAC, 2021)

Poster: A Tunable Model for Graph Generation Using LSTM and Conditional VAE. - Shohei Nakazawa; Yoshiki Sato; Kenji Nakagawa; Sho Tsugawa; Kohei Watabe (ICDCS, 2021)

A Tunable Model for Graph Generation Using LSTM and Conditional VAE. - Shohei Nakazawa; Yoshiki Sato; Kenji Nakagawa; Sho Tsugawa; Kohei Watabe (CoRR, 2021)

Analyzing the Effects of Social Network Structure on the Growth and Survival of Online Communities in Reddit. - Sho Tsugawa; Sumaru Niida (IEICE Trans. Commun., 2021)

On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks. - Daiki Suzuki; Sho Tsugawa (COMPLEX NETWORKS (1), 2022)

Effects of Random Errors on Graph Convolutional Networks. - Shinnosuke Ando; Sho Tsugawa (HICSS, 2022)

Empirical evaluation of link deletion methods for limiting information diffusion on social media. - Shiori Furukawa; Sho Tsugawa (Soc. Netw. Anal. Min., 2022)

Limiting the Spread of Misinformation on Multiplex Social Networks. - Yumi Fujita; Sho Tsugawa (COMPSAC, 2023)

On the Effectiveness of Features for Predicting User Churn in Reddit Communities. - Masayoshi Matsumoto; Sho Tsugawa (COMPSAC, 2023)

An Accurate Graph Generative Model with Tunable Features. - Takahiro Yokoyama; Yoshiki Sato; Sho Tsugawa; Kohei Watabe (ICCCN, 2023)

Identifying Influential Brokers on Social Media from Social Network Structure. - Sho Tsugawa; Kohei Watabe (ICWSM, 2023)

GraphTune: A Learning-Based Graph Generative Model With Tunable Structural Features. - Kohei Watabe; Shohei Nakazawa; Yoshiki Sato; Sho Tsugawa; Kenji Nakagawa (IEEE Trans. Netw. Sci. Eng., 2023)

Evaluating Community Detection Algorithms for Multilayer Networks: Effectiveness of Link Weights and Link Direction. - Daiki Suzuki; Sho Tsugawa (Complex Syst., 2023)

Analyzing Characteristics of Nontrivial Information Diffusion via Implicit Links on Social Media. - Yuto Tamura; Sho Tsugawa; Kohei Watabe (ASONAM (3), 2024)

Evaluation of Transformer-Based Encoder on Conditional Graph Generation. - Thamila E. H. Abeywickrama; Sho Tsugawa; Akiko Manada; Kohei Watabe (COMPSAC, 2024)

Effect of Retraining Graph Generative Models with Generated Graphs. - Takeru Inada; Sho Tsugawa; Akiko Manada; Kohei Watabe (COMPSAC, 2024)

Analyzing the Characteristics of Ego-Network Structures of Influential Twitter Users. - Yuto Nakamitsu; Sho Tsugawa; Keiichiro Tsukamoto; Shintaro Igari (COMPSAC, 2024)

Impact of Graph-to-Sequence Conversion Methods on the Accuracy of Graph Generation for Network Simulations. - Kazuhiro Yasuda; Sho Tsugawa; Kohei Watabe (NOMS, 2024)

Do Large Language Models Defend Inferentialist Semantics?: On the Logical Expressivism and Anti-Representationalism of LLMs. - Yuzuki Arai; Sho Tsugawa (CoRR, 2024)

Exploring Unknown Social Networks for Discovering Hidden Nodes. - Sho Tsugawa; Hiroyuki Ohsaki (ICWSM, 2025)

A Feedback-Enhanced Graph Generative Model With Tunable Features. - Takahiro Yokoyama; Yoshiki Sato; Sho Tsugawa; Kohei Watabe (IEEE Access, 2025)

Revisiting Information Diffusion Beyond Explicit Social Ties: A Study of Implicit-Link Diffusion on Twitter. - Yuto Tamura; Sho Tsugawa; Kohei Watabe (CoRR, 2025)

Contrastive Cascade Graph Learning for Classifying Real and Synthetic Information Diffusion Patterns. - Naoki Shibao; Sho Tsugawa (CoRR, 2025)