Differentiated incentive rewarding for social networking services

Kazufumi Yogo, Ryoichi Shinkuma, Tatsuro Takahashi, Taku Konishi, Satoko Itaya, Shinichi Doi, Keiji Yamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Our ultimate goal is to develop an information diffusion system where individuals are motivated to create content and share it with public. As our first step, in this paper, we present an incentive-rewarding mechanism for social networking services and focus particularly on changing reward assignment ratio considering different risks users perceive when uploading content with different privacy settings: publicopen and friend-limited. Our learning-based simulation allowed us to observe enlargement of social networks with different rewarding ratio. The result also suggested that there is an optimal reward assignment ratio to maximize social networks.

Original languageEnglish
Title of host publicationProceedings - 2010 10th Annual International Symposium on Applications and the Internet, SAINT 2010
Pages169-172
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 10th Annual International Symposium on Applications and the Internet, SAINT 2010 - Seoul, Korea, Republic of
Duration: 2010 Jul 192010 Jul 23

Publication series

NameProceedings - 2010 10th Annual International Symposium on Applications and the Internet, SAINT 2010

Conference

Conference2010 10th Annual International Symposium on Applications and the Internet, SAINT 2010
Country/TerritoryKorea, Republic of
CitySeoul
Period10/7/1910/7/23

Keywords

  • Incentive
  • Perceived risk
  • Privacy setting
  • Social graph
  • Social networking service

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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