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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 71  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, CQ, MIKA
(Joint)
2022-09-16
14:55
Hokkaido Hokkaido Citizens Actives Center
(Primary: On-site, Secondary: Online)
On the Effectiveness of Spreading Positive Influence for Limiting the Spread of Negative Influence on Multiplex Networks
Yumi Fujita, Sho Tsugawa (Univ. of Tsukuba)
 [more]
CQ 2022-07-22
09:30
Osaka Ritsumeikan Ibaraki Future Plaza Conference Hall
(Primary: On-site, Secondary: Online)
Evaluating the Effectiveness of Using Activity Records from Multiple Communities for Predicting Churn of Online Community Users
Masayoshi Matsumoto, Sho Tsugawa (Tsukuba Univ.) CQ2022-22
There have been proposed several methods for predicting users who are likely to leave a given online community. These me... [more] CQ2022-22
pp.30-35
CQ, CS
(Joint)
2022-05-12
09:50
Fukui Fukui (Fuku Pref.)
(Primary: On-site, Secondary: Online)
Analysing Relation between Influence of Twitter Business Accounts and their Ego Network Structure
Yuto Nakamitsu, Sho Tsugawa, Keiichirou Tsukamoto, Shintaro Igari () CQ2022-1
We exploratory investigate the relation between the influence of Twitter
users and the characteristics of their ego ne... [more]
CQ2022-1
pp.1-6
CQ, CS
(Joint)
2022-05-12
10:15
Fukui Fukui (Fuku Pref.)
(Primary: On-site, Secondary: Online)
A Study on the Effectiveness of of Using link Weights and Link Direction for Community Detection in Multilayer Networks
Daiki Suzuki, Sho Tsugawa (Univ. of Tsukuba) CQ2022-2
Multilayer networks are useful representations of real-world complex networks,
and community detection in multilayer ... [more]
CQ2022-2
pp.7-12
CQ, CBE
(Joint)
2022-01-28
11:20
Ishikawa Kanazawa(Ishikawa Pref.)
(Primary: On-site, Secondary: Online)
A Study on Identifying Influencer from Ego Network Using Graph Neural Network
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ), Keiichirou Tsukamoto, Shintaro Igari (KADOKAWA Connected) CQ2021-91
Identifying influencers on social media has been an important research topic. In this paper, we propose a method to pre... [more] CQ2021-91
pp.82-87
CQ, CBE
(Joint)
2022-01-28
14:40
Ishikawa Kanazawa(Ishikawa Pref.)
(Primary: On-site, Secondary: Online)
A Study on Finding Intermediate Spreaders in Social Networks
Sho Tsugawa (Univ. of Tsukuba), Kohei Watabe (Nagaoka Univ. of Technology) CQ2021-94
Identifying influencers in a given social network has been an important research problem. In the literature, several me... [more] CQ2021-94
pp.100-105
MIKA
(3rd)
2021-10-27
13:15
Okinawa
(Primary: On-site, Secondary: Online)
[Tutorial Lecture]
Sho Tsugawa (Univ. of Tsukuba)
 [more]
MIKA
(3rd)
2021-10-28
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Study on Influence Prediction on Social Networks Using Graph Neural Networks
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ), Keiichirou Tsukamoto, Shintaro Igari (KADOKAWA Connected)
Social media services such as Twitter and Facebook have been getting increased interest from many users, and therefore, ... [more]
MIKA
(3rd)
2021-10-29
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Study on the Differences in Interaction Locality within Communities between Layers in MultiLayer Social Networks
Daiki Suzuki, Sho Tsugawa (Univ. of Tsukuba)
In social networks, nodes in the same community communicate with each other more frequently than with nodes in different... [more]
MIKA
(3rd)
2021-10-29
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Analyzing the impact of Deleting Links in Social Networks for Suppressing Information Diffusion on Social Media
Shiori Furukawa, Sho Tsugawa (Univ. of Tsukuba)
The dissemination of harmful information such as fake news, and rumors has been a serious problem in the society. For su... [more]
CQ, MIKA
(Joint)
2021-09-09
11:35
Online Online On the Effectiveness of Breadth-First Search for Influence Maximization on Unknown Networks
Yuki Wakisaka, Ryotaro Matsuo (Kwansei Gakuin Univ.), Sho Tsugawa (Tsukuba Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2021-42
Recently, the influence maximization problem for unknown networks has received much attention. The problem aims to ident... [more] CQ2021-42
pp.29-34
CQ, MIKA
(Joint)
2021-09-10
15:30
Online Online Analyzing the Impact of Early-Career Collaboration of Junior Researchers in Japan on the Future Funding Success
Sho Tsugawa (Univ. of Tsukuba), Takuya Kanetsuki, Junichi Sugihara (BIOIMPACT) CQ2021-60
Since academia has becoming more and more competitive, especially for young scientists, it is important to understand fa... [more] CQ2021-60
pp.109-114
IN, NS
(Joint)
2021-03-05
14:20
Online Online A study of a tunable generative model for graph data using machine learning
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa (Nagaoka Univ. of Tech.), Sho Tsugawa (Tsukuba Univ.), Kohei Watabe (Nagaoka Univ. of Tech.) NS2020-159
In recent years, applications and simulations using graphs are becoming more important. The graph has various features, ... [more] NS2020-159
pp.214-219
CQ
(2nd)
2021-01-21
13:15
Online Online [Invited Lecture] On the Social Network Structure of Technical Committee on CQ
Sho Tsugawa (Univ. of Tsukuba)
 [more]
CQ, CBE
(Joint)
2021-01-20
13:25
Online Online A Study on the Impact of Deleting Links in a Twitter Social Network for Suppressing Information Diffusion
Shiori Furukawa, Sho Tsugawa (University of Tsukuba) CQ2020-67
While a lot of beneficial information are available on social media, spread of harmful information such as fake news has... [more] CQ2020-67
pp.38-42
CQ, CBE
(Joint)
2021-01-20
13:45
Online Online Evaluating the Robustness of Community Detection from Information Cascades under Imperfect Data
Daiki Suzuki, Sho Tsugawa (Univ. of Tsukuba) CQ2020-68
Community detection in a social network is an important topic
in the network science research field. In this paper,
... [more]
CQ2020-68
pp.43-48
MIKA
(3rd)
2020-10-09
14:45
Niigata
(Primary: On-site, Secondary: Online)
A Study on Identifying Influencers on Social Networks Using Node Embedding
Sho Tsugawa (Univ. of Tsukuba)
 [more]
CQ, CS
(Joint)
2020-06-25
13:30
Online Online Analysis of the Effects of Community Structure in Social Network on the Speed of Information Diffusion among Twitter Users
Nako Tsuda, Sho Tsugawa (Univ. of Tsukuba) CQ2020-6
Social media users can widely disseminate information, potentially affecting societal trends. Therefore, understanding f... [more] CQ2020-6
pp.31-36
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
14:20
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Analysis of the Time Evolution of Influence and Spreading Power of Twitter Users
Minami Uehara, Sho Tsugawa (Univ. of Tsukuba) CQ2019-154
For a successful viral marketing campaign on social media, it is important to spread information to many users. The siz... [more] CQ2019-154
pp.101-106
CQ, CBE
(Joint)
2020-01-16
10:30
Tokyo NHK Science & Technology Research Laboratories Evaluating the Effects of Node Sampling and Link Errors on the Effectiveness of Network Attack Strategies
Sho Tsugawa, Momoko Ohtsuka (Univ. of Tsukuba) CQ2019-111
 [more] CQ2019-111
pp.23-27
 Results 1 - 20 of 71  /  [Next]  
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