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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 67  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
14:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers
Kota Tahara, Sho Tsugawa (UT) CQ2023-76
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] CQ2023-76
pp.32-37
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more]
CQ, MIKA
(Joint)
2023-09-01
09:50
Fukushima Tenjin-Misaki Sports Park [Invited Lecture] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou, Shintaro Igari (KDX) CQ2023-35
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more] CQ2023-35
pp.54-58
CQ, MIKA
(Joint)
(2nd)
2023-08-30
15:00
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more]
CQ, MIKA
(Joint)
(2nd)
2023-08-30
16:20
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou Tsukamoto, Shintaro Igari (KDX)
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more]
CQ 2023-07-12
14:50
Hokkaido
(Primary: On-site, Secondary: Online)
A Study on Influencer Prediction Methods Applicable to Dfferent Domains
Kota Tahara, Sho Tsugawa (ITF) CQ2023-12
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] CQ2023-12
pp.24-29
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
HIP, HCS, HI-SIGCOASTER [detail] 2023-05-15
14:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Quantitative Study on Lifestyle Influences from Instagrammers in the Fashion Sector
Maki Ishii, Arisa Miyauchi, Yurina Miyauchi, Yoshinori Hijikata (KGU) HCS2023-14 HIP2023-14
Among social networking services, Instagram is one of the most popular among young people because of its photo-centered ... [more] HCS2023-14 HIP2023-14
pp.62-66
NLP, MSS 2023-03-17
10:20
Nagasaki
(Primary: On-site, Secondary: Online)
A method of suppressing false information diffusion in OSN
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2022-95 NLP2022-140
The diffusion of false information in online social networks is a serious problem.Despite various countermeasures, it is... [more] MSS2022-95 NLP2022-140
pp.156-159
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
MIKA
(3rd)
2022-10-14
10:40
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Preliminary Investigation on the Generalizability of Influencer Detection Methods based on Machine Learning Approaches
Kota Tahara, Sho Tsugawa (ITF)
In social media, identifying influencers who can spread information to many other users is one of the important research... [more]
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) CQ2022-44
To limit the spread of misinformation, the dissemination of messages countering the misinformation has been shown to be ... [more] CQ2022-44
pp.109-114
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, 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
IN, IA
(Joint)
2021-12-17
09:00
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
An influencer selecting method based on SNS engagement
Yuuki Okamoto, Motoi Iwashita (CIT) IN2021-18
Currently, an increasing number of companies are starting influencer marketing that can effectively raise awareness of p... [more] IN2021-18
pp.1-6
EMCJ, IEE-EMC, IEE-SPC 2021-12-08
15:20
Aichi
(Primary: On-site, Secondary: Online)
Noise Source Estimation Method using the Cross Spectrum
Ichiro Akahori, Daichi Sugiura (DENSO EMCES) EMCJ2021-59
We assume that emission noise radiated and conducted from electronic device with multiple noise sources can be expressed... [more] EMCJ2021-59
pp.28-33
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]
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
NLP, MSS
(Joint)
2021-03-16
13:00
Online Online On Maximizing Utility of Information Diffusion in Social Networks
Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.) MSS2020-52
A purpose of information diffusion performed by information providers is to maximize the total utility of users, such as... [more] MSS2020-52
pp.43-46
 Results 1 - 20 of 67  /  [Next]  
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