Presentation 2023-01-27
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,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiveness and community activation, the diffusion of false information has become a social problem. There have been studies on how to suppress the diffusion of false information by diffusing true information. Previous study defines suppressing the information diffusion as an optimization problem and conduct experiments. This paper shows verification of using the Greedy algorithm as an approximate solution method in solving the influence maximization problem for true information on the model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) online social networks / information diffusion / influence maximization problem / greedy algorithm
Paper # CQ2022-73
Date of Issue 2023-01-19 (CQ)

Conference Information
Committee CQ
Conference Date 2023/1/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Epochal Tsukuba International Congress Center
Topics (in Japanese) (See Japanese page)
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, Machine Learning, etc.
Chair Jun Okamoto(NTT)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.)
Assistant Kimiko Kawashima(NTT) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(岡山理科大)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Sub Title (in English)
Keyword(1) online social networks
Keyword(2) information diffusion
Keyword(3) influence maximization problem
Keyword(4) greedy algorithm
1st Author's Name Jodai Yoshiue
1st Author's Affiliation Soka University(Soka Univ.)
2nd Author's Name Atsushi Wakamatsu
2nd Author's Affiliation Soka University(Soka Univ.)
3rd Author's Name Msaaki Miyashita
3rd Author's Affiliation Soka University(Soka Univ.)
4th Author's Name Norihiko Shinomiya
4th Author's Affiliation Soka University(Soka Univ.)
Date 2023-01-27
Paper # CQ2022-73
Volume (vol) vol.122
Number (no) CQ-363
Page pp.pp.69-72(CQ),
#Pages 4
Date of Issue 2023-01-19 (CQ)