Incentive-rewarding mechanism to stimulate activities in social networking services

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

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

We have developed an incentive-rewarding mechanism that stimulates activities in social networking services (SNSs), including content uploading and link establishment. We particularly focus on changing the reward assignment ratio based on the different risks users perceive when uploading content with different privacy settings: public-open and friend-limited. Learning-based simulation allowed us to observe that SNS activity, which we measured as the amount of browsed content within a certain period, can be controlled by a rewarding assignment ratio. We then analyzed how the amount of uploaded content and the increase of established links affect SNS activity. Results suggested that the optimal reward assignment ratio to maximize SNS activity changes depending on the total amount of available reward resources.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalInternational Journal of Network Management
Volume22
Issue number1
DOIs
Publication statusPublished - 2012 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

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