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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2022-03-27 09:50 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Dividing Effect in Online Social Network Caused by Damping Effect in the Oscillation Model Ryusei Yamamoto, Masaki Aida (TMU)  CCS2021-38 |
The spread of social networking services (SNS) has dramatically activated communication between users, but it has also b... [more] | CCS2021-38 pp.13-18 |
| IA, SITE, IPSJ-IOT [detail] | 2022-03-07 11:35 |
Kyoto | Kyoto University, Yoshida Campus (Primary: On-site, Secondary: Online) |
Characteristic Analysis of Socially-Aware Information-Centric Networking Kodai Honda, Ryo Nakamura (Fukuoka Univ.), Noriaki Kamiyama (Ritsumeikan Univ.) SITE2021-51 IA2021-64 |
In recent years, with the rapid growth of SNS (Social Networking Service), e.g., Twitter and Facebook, the amount of use... [more] | SITE2021-51 IA2021-64 pp.31-36 |
| ICSS, IPSJ-SPT | 2022-03-08 13:40 |
Online | Online | A study of a decentralized reputation-based trust evaluation system Iifan Tyou (NTT), Takahito Tanabe, Akinori Matsuo (msi) ICSS2021-78 |
In order to evaluate the reputation of an unknown party, such as a new purchase or new contact, it is common to collect ... [more] | ICSS2021-78 pp.117-122 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:30 |
Online | Online | What Kind of Images to Post on Instagram? Image Recommendation for Marketing Yiwei Zhang, Toshihiko Yamasaki (UTokyo) ITS2021-53 IE2021-62 |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] | ITS2021-53 IE2021-62 pp.167-172 |
| CQ, CBE (Joint) |
2022-01-28 10:45 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
A study of suppressing the information diffusion by focusing on authenticity assessment Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2021-90 |
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] | CQ2021-90 pp.76-81 |
| 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 |
| NS, NWS (Joint) |
2022-01-28 11:15 |
Online | Online | A Note on Prioritized Task Assignment Schemes for Mobile Crowdsourcing Katsuyuki Takenaka, Kazuya Sakai (TMU) NS2021-117 |
In crowdsourcing, many task assignment algorithms which consider the success rate of tasks are proposed. How- ever, the ... [more] | NS2021-117 pp.42-45 |
| NS, NWS (Joint) |
2022-01-28 11:40 |
Online | Online | A Note on Caching Algorithm for Dynamic Mobile Social Networks Takeshi Kitamura, Kazuya Sakai (TMU) NS2021-118 |
In the mobile social networks, several algorithms for choosing caching nodes are proposed in order to achieve fast data ... [more] | NS2021-118 pp.46-49 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Trend Factor Analysis based on the Relationship between Post Text and Images and the Number of Likes Reishi Amitani, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Tokushima Univ.) |
The purpose of this study is to investigate the trends of social media and propose an analysis method to explore the fac... [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]
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] | |
| ICTSSL, IEE-SMF, IN | 2021-10-22 10:15 |
Online | Online | Proposal of Twitter Classification and Visualization System by Sentiment Analysis
-- Development of "Twi-Pass" as A Prototype System -- Taira Miyazaki, Munenari Inoguchi (Univ. of Toyama) ICTSSL2021-25 |
In recent years, almost people use SNS (social network media) due to the spread of the Internet. This caused that slande... [more] | ICTSSL2021-25 pp.42-47 |
| CAS, NLP | 2021-10-14 13:00 |
Online | Online | Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation Hiromichi Furuya, Toshikazu Samura (Yamaguchi Univ) CAS2021-22 NLP2021-20 |
A Liquid State Machine (LSM) realizes information processing by retaining past information in its recursive structure. T... [more] | CAS2021-22 NLP2021-20 pp.29-34 |
| CQ, MIKA (Joint) |
2021-09-09 10:55 |
Online | Online | Proposal of an Improving Method for the Laplacian Anomaly Detection of Temporal Networks Eriko Segawa, Toyoaki Taniguchi, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2021-40 |
Many networks in the real world are dynamic and temporal wherein relationships among nodes change with time. Technologie... [more] | CQ2021-40 pp.17-22 |
| 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 |
| IN, CCS (Joint) |
2021-08-05 14:00 |
Online | Online | A Spectral-based Model of Polarization in Online Social Networks Tomoya Kinoshita, Masaki Aida (Tokyo Metropolitan Univ.) CCS2021-15 |
The phenomenon known as ``polarization,'' in which a social group splits into two or more groups, can hurt social activi... [more] | CCS2021-15 pp.1-6 |
| DE | 2021-07-24 10:20 |
Kanagawa | KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
[Short Paper]
COVID-19 and biased information dissemination on Twitter Gefei Li (AIST/Waseda Univ.), Yijun Duan, Taehoon Kim, Kyoungsook Kim (AIST) DE2021-4 |
This study aims to examine if Twitter users with a higher level of similarity would have a more similar distribution of ... [more] | DE2021-4 pp.18-21 |
| BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2021-07-19 15:25 |
Online | Online | [Invited Talk]
Data science practice from a legal and ethical perspective
-- A case study of an avatar community application -- Soichiro Morishita (CA) ISEC2021-19 SITE2021-13 BioX2021-20 HWS2021-19 ICSS2021-24 EMM2021-24 |
In social networking services, messages may be monitored before and after with valid consent obtained from the user in o... [more] | ISEC2021-19 SITE2021-13 BioX2021-20 HWS2021-19 ICSS2021-24 EMM2021-24 pp.56-59 |
| CS | 2021-07-15 17:05 |
Online | Online | A basic study on collective effects of online user dynamics under the influence of mass media Mio Harada, Masaki Aida (Tokyo Metropolitan Univ.) CS2021-24 |
With the spread of social networking services (SNS), information from the mass media immediately influences users on onl... [more] | CS2021-24 pp.40-45 |
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