NDLI: Enhanced Reputation-based Tit-for-Tat Strategy for Collaborative Social Applications

Content Provider	IEEE Xplore Digital Library
Author	Al-Dhanhani, A. Otrok, H. Mizouni, R. Al-Rubaie, A.
Copyright Year	2013
Description	Author affiliation: Khalifa Univ. of Sci., Technol. & Res., Abu Dhabi, United Arab Emirates (Otrok, H.; Mizouni, R.) \|\| Etisalat BT Innovation Centre, Abu Dhabi, United Arab Emirates (Al-Dhanhani, A.; Al-Rubaie, A.)
Abstract	One known problem that can impact the sustainability of collaborative social applications is the presence of selfish users. In the literature, repeated non-cooperative game theory was introduced as a solution where several strategies were introduced to identify selfish users. However, such strategies do not differentiate between selfish learners and cooperative learners who are reluctant to answer others requests either due to lack of knowledge or confidence. In this paper, we show that educational and collaborative groups need to distinguish between those types of users and put in place mechanisms to encourage non contributing cooperative learners to participate rather than punishing them and excluding them from the group. An enhanced reputation-based Tit-for-Tat strategy is proposed as a solution that will enhance the group activity and overall gain.
Starting Page	192
Ending Page	197
File Size	340155
Page Count	6
File Format	PDF
ISBN	9781479901531
DOI	10.1109/ICL.2013.6644569
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-25
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Game Theory Collaboration Social Applications Free Riding Games Tit-for-Tat Educational institutions Collaborative work Thin film transistors Collaborative Learning Mathematical model Equations
Content Type	Text
Resource Type	Article

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