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ORCIDSho Tsugawa
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2020 – today
- 2024
[c37]Takeru Inada, Sho Tsugawa, Akiko Manada, Kohei Watabe:
Effect of Retraining Graph Generative Models with Generated Graphs. COMPSAC 2024: 1512-1513- [c36]Thamila E. H. Abeywickrama, Sho Tsugawa, Akiko Manada, Kohei Watabe:
Evaluation of Transformer-Based Encoder on Conditional Graph Generation. COMPSAC 2024: 1526-1527 - [c35]Yuto Nakamitsu, Sho Tsugawa, Keiichiro Tsukamoto, Shintaro Igari:
Analyzing the Characteristics of Ego-Network Structures of Influential Twitter Users. COMPSAC 2024: 1776-1781 - [c34]Kazuhiro Yasuda, Sho Tsugawa, Kohei Watabe:
Impact of Graph-to-Sequence Conversion Methods on the Accuracy of Graph Generation for Network Simulations. NOMS 2024: 1-5 - 2023
- [j13]Daiki Suzuki, Sho Tsugawa:
Evaluating Community Detection Algorithms for Multilayer Networks: Effectiveness of Link Weights and Link Direction. Complex Syst. 32(2): 211-228 (2023) - [j12]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): 2226-2238 (2023) - [c33]Yumi Fujita, Sho Tsugawa:
Limiting the Spread of Misinformation on Multiplex Social Networks. COMPSAC 2023: 406-411 - [c32]Masayoshi Matsumoto, Sho Tsugawa:
On the Effectiveness of Features for Predicting User Churn in Reddit Communities. COMPSAC 2023: 1173-1178 - [c31]Takahiro Yokoyama, Yoshiki Sato, Sho Tsugawa, Kohei Watabe:
An Accurate Graph Generative Model with Tunable Features. ICCCN 2023: 1-2 - [c30]Sho Tsugawa, Kohei Watabe:
Identifying Influential Brokers on Social Media from Social Network Structure. ICWSM 2023: 842-853 - [i4]Takahiro Yokoyama, Yoshiki Sato, Sho Tsugawa, Kohei Watabe:
An Accurate Graph Generative Model with Tunable Features. CoRR abs/2309.01158 (2023) - 2022
- [j11]Shiori Furukawa, Sho Tsugawa:
Empirical evaluation of link deletion methods for limiting information diffusion on social media. Soc. Netw. Anal. Min. 12(1): 169 (2022) - [c29]Daiki Suzuki, Sho Tsugawa:
On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks. COMPLEX NETWORKS (1) 2022: 638-649 - [c28]Shinnosuke Ando, Sho Tsugawa:
Effects of Random Errors on Graph Convolutional Networks. HICSS 2022: 1-10 - [i3]Shohei Nakazawa, Yoshiki Sato, Sho Tsugawa, Kenji Nakagawa, Kohei Watabe:
GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features. CoRR abs/2201.11494 (2022) - [i2]Sho Tsugawa, Kohei Watabe:
Identifying Influential Brokers on Social Media from Social Network Structure. CoRR abs/2208.00630 (2022) - 2021
- [c27]Shiori Furukawa, Sho Tsugawa:
Limitations of link deletion for suppressing real information diffusion on social media. ASONAM 2021: 111-115 - [c26]Takuya Nagase, Sho Tsugawa:
Effectiveness of a Data-based Influence Maximization Algorithm Using Information Diffusion Cascades. COMPSAC 2021: 396-401 - [c25]Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe:
Poster: A Tunable Model for Graph Generation Using LSTM and Conditional VAE. ICDCS 2021: 1126-1127 - [i1]Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe:
A Tunable Model for Graph Generation Using LSTM and Conditional VAE. CoRR abs/2104.09304 (2021) - 2020
- [j10]Sho Tsugawa, Hiroyuki Ohsaki:
Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set. IEEE Access 8: 75370-75380 (2020) - [c24]Nako Tsuda, Sho Tsugawa:
Effects of Community Structure in Social Networks on Speed of Information Diffusion. COMPLEX NETWORKS (1) 2020: 51-61 - [c23]Yuki Wakisaka, Kazuyuki Yamashita, Sho Tsugawa, Hiroyuki Ohsaki:
On the Effectiveness of Random Node Sampling in Influence Maximization on Unknown Graph. COMPSAC 2020: 613-618
2010 – 2019
- 2019
- [j9]Sho Tsugawa:
A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking. IEICE Trans. Commun. 102-B(1): 17-39 (2019) - [c22]Sho Tsugawa, Sumaru Niida:
The impact of social network structure on the growth and survival of online communities. ASONAM 2019: 1112-1119 - [c21]Minami Uehara, Sho Tsugawa:
Analysis of the Evolution of the Influence of Central Nodes in a Twitter Social Network. COMPSAC (1) 2019: 892-895 - [c20]Sho Tsugawa:
Empirical Analysis of the Relation between Community Structure and Cascading Retweet Diffusion. ICWSM 2019: 493-504 - [c19]Nako Tsuda, Sho Tsugawa:
Effects of Truss Structure of Social Network on Information Diffusion Among Twitter Users. INCoS 2019: 306-315 - [p1]Sho Tsugawa, Hiroyuki Ohsaki:
Robustness of Influence Maximization Against Non-adversarial Perturbations. Influence and Behavior Analysis in Social Networks and Social Media 2019: 193-210 - 2017
- [j8]Sumaru Niida, Sho Tsugawa, Mutsumi Suganuma, Naoki Wakamiya:
A Survey on Modeling of Human States in Communication Behavior. IEICE Trans. Commun. 100-B(9): 1538-1546 (2017) - [j7]Sho Tsugawa, Hiroyuki Ohsaki:
On the relation between message sentiment and its virality on social media. Soc. Netw. Anal. Min. 7(1): 19:1-19:14 (2017) - [c18]Sho Tsugawa, Hiroyuki Ohsaki:
On the Robustness of Influence Maximization Algorithms against Non-Adversarial Perturbations. ASONAM 2017: 91-94 - [c17]Yui Kazawa, Sho Tsugawa:
On the Effectiveness of Link Addition for Improving Robustness of Multiplex Networks against Layer Node-Based Attack. COMPSAC (1) 2017: 697-700 - [c16]Shodai Mihara, Sho Tsugawa, Hiroyuki Ohsaki:
On the effectiveness of random jumps in an influence maximization algorithm for unknown graphs. ICOIN 2017: 395-400 - 2016
- [c15]Kazuma Kimura, Sho Tsugawa:
Estimating influence of social media users from sampled social networks. ASONAM 2016: 1302-1308 - [c14]Yui Kazawa, Sho Tsugawa:
Robustness of Networks with Skewed Degree Distributions under Strategic Node Protection. COMPSAC Workshops 2016: 14-19 - 2015
- [j6]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): 318-339 (2015) - [j5]Sho Tsugawa, Hiroyuki Ohsaki:
Community Structure and Interaction Locality in Social Networks. J. Inf. Process. 23(4): 402-410 (2015) - [c13]Shodai Mihara, Sho Tsugawa, Hiroyuki Ohsaki:
Influence Maximization Problem for Unknown Social Networks. ASONAM 2015: 1539-1546 - [c12]Sho Tsugawa, Yusuke Kikuchi, Fumio Kishino, Kosuke Nakajima, Yuichi Itoh, Hiroyuki Ohsaki:
Recognizing Depression from Twitter Activity. CHI 2015: 3187-3196 - [c11]Sho Tsugawa, Hiroyuki Ohsaki:
Analysis of the Robustness of Degree Centrality against Random Errors in Graphs. CompleNet 2015: 25-36 - [c10]Sho Tsugawa, Hiroyuki Ohsaki:
Negative Messages Spread Rapidly and Widely on Social Media. COSN 2015: 151-160 - 2014
- [j4]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. 97-B(1): 76-86 (2014) - [c9]Sho Tsugawa, Hiroyuki Ohsaki:
Emergence of Fractals in Social Networks: Analysis of Community Structure and Interaction Locality. COMPSAC 2014: 568-575 - 2013
- [c8]Masanori Ishino, Sho Tsugawa, Hiroyuki Ohsaki:
On the robustness of centrality measures against link weight quantization in real weighted social networks. VR 2013: 1-4 - [c7]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: 1-4 - 2012
- [j3]Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase:
Lightweight and Distributed Connectivity-Based Clustering Derived from Schelling's Model. IEICE Trans. Commun. 95-B(8): 2549-2557 (2012) - [j2]Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase:
Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. Inf. Media Technol. 7(3): 1073-1082 (2012) - [j1]Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase:
Estimating Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. J. Inf. Process. 20(3): 796-805 (2012) - [c6]Sho Tsugawa, Hiroyuki Ohsaki, Makoto Imase:
Lightweight Distributed Method for Connectivity-based Clustering Based on Schelling's Model. AINA Workshops 2012: 1137-1142 - [c5]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: 1-4 - [c4]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: 1-2 - 2011
- [c3]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: 25 - [c2]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: 75 - 2010
- [c1]Sho Tsugawa, Kazuya Takahashi, Hiroyuki Ohsaki, Makoto Imase:
Robust Estimation of Message Importance Using Inferred Inter-recipient Trust for Supporting Email Triage. SAINT 2010: 177-180
Coauthor Index
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