| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2021-07-02 15:15 Analysis on Geographic Bias in Private Graphs on Twitter towards SNS Marketing Applications Takeshi Sakaki (Hottolink), Shogo Matsuno (Gunma Univ.), Yasuhiro Hino (Hottolink)  NLC2021-5 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In marketing, consumers with high homogeneity have been regarded as a cluster, and the cluster has been used to target a group of consumers for marketing communication and advertising distribution. Before the Web, demographic attributes such as gender, region, age, and occupation were used as the attributes of highly homogeneous consumers. On the other hand, with the advent of the Web, consumers have begun to take actions based on units different from these attributes. With this background, targeting based on social graphs is said to be effective in SNS marketing. As a typical approach, there is a hypothesis that it is effective to treat a group of users connected by a private graph as a cluster. This is based on two characteristics of private graphs: 1) users connected by private graphs are highly homogeneous, and 2) information is easily transmitted among users connected by private graphs. However, there are few studies that have verified the existence of private graphs. In this study, we will verify whether private graphs actually exist. In particular, we focus on the private graphs of users who live close to each other. We verified that users who are connected in social graphs on Twittter are geographically biased. Based on this result, we explore the possibility of effective marketing communication and advertisement distribution by treating users who are grouped by geographic units as a cluster. |
|
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | marketing / web maining / information diffusion / social network analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 82, NLC2021-5, pp. 25-30, July 2021. | |
| Paper # | NLC2021-5 | |
| Date of Issue | 2021-06-25 (NLC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2021-5 |
|
| Conference Information | |
| Committee | NLC IPSJ-ICS |
| Conference Date | 2021-07-02 - 2021-07-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Application of natural language processing and intelligent systems, and general topic of NLP |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2021-07-NLC-ICS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis on Geographic Bias in Private Graphs on Twitter towards SNS Marketing Applications |
| Sub Title (in English) | |
| Keyword(1) | marketing |
| Keyword(2) | web maining |
| Keyword(3) | information diffusion |
| Keyword(4) | social network analysis |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takeshi Sakaki |
| 1st Author's Affiliation | Hottolink, inc. (Hottolink) |
| 2nd Author's Name | Shogo Matsuno |
| 2nd Author's Affiliation | Gunma University (Gunma Univ.) |
| 3rd Author's Name | Yasuhiro Hino |
| 3rd Author's Affiliation | Hottolink, inc. (Hottolink) |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2021-07-02 15:15:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2021-5 |
| Volume (vol) | vol.121 |
| Number (no) | no.82 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2021-06-25 (NLC) |
[Return to Top Page]