Sho Tsugawa

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 32

Top Topics

Generative Model

Community Structure

Social Networks

Degree Distribution

Top Venues

IEICE Trans. Commun.

Publications

Kazuhiro Yasuda, Sho Tsugawa, Kohei Watabe
Impact of Graph-to-Sequence Conversion Methods on the Accuracy of Graph Generation for Network Simulations. NOMS (2024)
Takahiro Yokoyama, Yoshiki Sato, Sho Tsugawa, Kohei Watabe
An Accurate Graph Generative Model with Tunable Features. CoRR (2023)
Masayoshi Matsumoto, Sho Tsugawa
On the Effectiveness of Features for Predicting User Churn in Reddit Communities. COMPSAC (2023)
Kohei Watabe, Shohei Nakazawa, Yoshiki Sato, Sho Tsugawa, Kenji Nakagawa
GraphTune: A Learning-Based Graph Generative Model With Tunable Structural Features. IEEE Trans. Netw. Sci. Eng. 10 (4) (2023)
Sho Tsugawa, Kohei Watabe
Identifying Influential Brokers on Social Media from Social Network Structure. ICWSM (2023)
Takahiro Yokoyama, Yoshiki Sato, Sho Tsugawa, Kohei Watabe
An Accurate Graph Generative Model with Tunable Features. ICCCN (2023)
Yumi Fujita, Sho Tsugawa
Limiting the Spread of Misinformation on Multiplex Social Networks. COMPSAC (2023)
Daiki Suzuki, Sho Tsugawa
Evaluating Community Detection Algorithms for Multilayer Networks: Effectiveness of Link Weights and Link Direction. Complex Syst. 32 (2) (2023)
Sho Tsugawa, Kohei Watabe
Identifying Influential Brokers on Social Media from Social Network Structure. CoRR (2022)
Shiori Furukawa, Sho Tsugawa
Empirical evaluation of link deletion methods for limiting information diffusion on social media. Soc. Netw. Anal. Min. 12 (1) (2022)
Shinnosuke Ando, Sho Tsugawa
Effects of Random Errors on Graph Convolutional Networks. HICSS (2022)
Shohei Nakazawa, Yoshiki Sato, Sho Tsugawa, Kenji Nakagawa, Kohei Watabe
GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features. CoRR (2022)
Daiki Suzuki, Sho Tsugawa
On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks. COMPLEX NETWORKS (1) (2022)
Shiori Furukawa, Sho Tsugawa
Limitations of link deletion for suppressing real information diffusion on social media. ASONAM (2021)
Takuya Nagase, Sho Tsugawa
Effectiveness of a Data-based Influence Maximization Algorithm Using Information Diffusion Cascades. COMPSAC (2021)
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe
A Tunable Model for Graph Generation Using LSTM and Conditional VAE. CoRR (2021)
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe
Poster: A Tunable Model for Graph Generation Using LSTM and Conditional VAE. ICDCS (2021)
Sho Tsugawa, Hiroyuki Ohsaki
Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set. IEEE Access 8 (2020)
Yuki Wakisaka, Kazuyuki Yamashita, Sho Tsugawa, Hiroyuki Ohsaki
On the Effectiveness of Random Node Sampling in Influence Maximization on Unknown Graph. COMPSAC (2020)
Nako Tsuda, Sho Tsugawa
Effects of Community Structure in Social Networks on Speed of Information Diffusion. COMPLEX NETWORKS (1) (2020)
Sho Tsugawa
Empirical Analysis of the Relation between Community Structure and Cascading Retweet Diffusion. ICWSM (2019)
Nako Tsuda, Sho Tsugawa
Effects of Truss Structure of Social Network on Information Diffusion Among Twitter Users. INCoS (2019)
Sho Tsugawa, Sumaru Niida
The impact of social network structure on the growth and survival of online communities. ASONAM (2019)
Minami Uehara, Sho Tsugawa
Analysis of the Evolution of the Influence of Central Nodes in a Twitter Social Network. COMPSAC (1) (2019)
Sho Tsugawa
A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking. IEICE Trans. Commun. (1) (2019)
Sho Tsugawa, Hiroyuki Ohsaki
On the Robustness of Influence Maximization Algorithms against Non-Adversarial Perturbations. ASONAM (2017)
Yui Kazawa, Sho Tsugawa
On the Effectiveness of Link Addition for Improving Robustness of Multiplex Networks against Layer Node-Based Attack. COMPSAC (1) (2017)
Sumaru Niida, Sho Tsugawa, Mutsumi Suganuma, Naoki Wakamiya
A Survey on Modeling of Human States in Communication Behavior. IEICE Trans. Commun. (9) (2017)
Sho Tsugawa, Hiroyuki Ohsaki
On the relation between message sentiment and its virality on social media. Soc. Netw. Anal. Min. 7 (1) (2017)
Shodai Mihara, Sho Tsugawa, Hiroyuki Ohsaki
On the effectiveness of random jumps in an influence maximization algorithm for unknown graphs. ICOIN (2017)
Kazuma Kimura, Sho Tsugawa
Estimating influence of social media users from sampled social networks. ASONAM (2016)
Yui Kazawa, Sho Tsugawa
Robustness of Networks with Skewed Degree Distributions under Strategic Node Protection. COMPSAC Workshops (2016)
Sho Tsugawa, Yukihiro Matsumoto, Hiroyuki Ohsaki
On the robustness of centrality measures against link weight quantization in social networks. Comput. Math. Organ. Theory 21 (3) (2015)
Sho Tsugawa, Hiroyuki Ohsaki
Analysis of the Robustness of Degree Centrality against Random Errors in Graphs. CompleNet (2015)
Sho Tsugawa, Hiroyuki Ohsaki
Community Structure and Interaction Locality in Social Networks. J. Inf. Process. 23 (4) (2015)
Shodai Mihara, Sho Tsugawa, Hiroyuki Ohsaki
Influence Maximization Problem for Unknown Social Networks. ASONAM (2015)
Sho Tsugawa, Yusuke Kikuchi, Fumio Kishino, Kosuke Nakajima, Yuichi Itoh, Hiroyuki Ohsaki
Recognizing Depression from Twitter Activity. CHI (2015)
Sho Tsugawa, Hiroyuki Ohsaki
Negative Messages Spread Rapidly and Widely on Social Media. COSN (2015)
Takeshi Yagi, Junichi Murayama, Takeo Hariu, Sho Tsugawa, Hiroyuki Ohsaki, Masayuki Murata
Analysis of Blacklist Update Frequency for Countering Malware Attacks on Websites. IEICE Trans. Commun. (1) (2014)
Sho Tsugawa, Hiroyuki Ohsaki
Emergence of Fractals in Social Networks: Analysis of Community Structure and Interaction Locality. COMPSAC (2014)
Masanori Ishino, Sho Tsugawa, Hiroyuki Ohsaki
On the robustness of centrality measures against link weight quantization in real weighted social networks. VR (2013)
Sho Tsugawa, Yukiko Mogi, Yusuke Kikuchi, Fumio Kishino, Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki
On estimating depressive tendencies of Twitter users utilizing their tweet data. VR (2013)
Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase
Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. Inf. Media Technol. 7 (3) (2012)
Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Sho Tsugawa, Kosuke Nakajima, Yusuke Hayashi, Fumio Kishino
Ambient Suite: Room-shaped information environment for interpersonal communication. VR (2012)
Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase
Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. J. Inf. Process. 20 (3) (2012)
Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Makoto Imase
Toward large-scale and dynamic social network analysis with heterogeneous sensors in ambient environment. VR (2012)
Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase
Lightweight Distributed Method for Connectivity-based Clustering Based on Schelling's Model. AINA Workshops (2012)
Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase
Lightweight and Distributed Connectivity-Based Clustering Derived from Schelling's Model. IEICE Trans. Commun. (8) (2012)
Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Sho Tsugawa, Kosuke Nakajima, Yusuke Hayashi, Fumio Kishino
Ambient Suite: enhancing communication among multiple participants. Advances in Computer Entertainment Technology (2011)
Sho Tsugawa, Hiroyuki Ohsaki, Yuichi Itoh, Naoaki Ono, Keiichiro Kagawa, Kazuki Takashima, Makoto Imase
Quasi-realtime social network construction with heterogeneous sensors in ambient environment. Advances in Computer Entertainment Technology (2011)
Sho Tsugawa, Kazuya Takahashi, Hiroyuki Ohsaki, Makoto Imase
Robust Estimation of Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. SAINT (2010)