Consumer generated media (CGM), such as social networking services rely on
the voluntary activity of users to prosper, garnering the psychological rewards
of feeling connected with other people through comments and reviews received
online. To attract more users, some CGM have introduced monetary rewards (MR)
for posting activity and quality articles and comments. However, the impact of
MR on the article posting strategies of users, especially frequency and
quality, has not been fully analyzed by previous studies, because they ignored
the difference in the standpoint in the CGM networks, such as how many
friends/followers they have, although we think that their strategies vary with
their standpoints. The purpose of this study is to investigate the impact of MR
on individual users by considering the differences in dominant strategies
regarding user standpoints. Using the game-theoretic model for CGM, we
experimentally show that a variety of realistic dominant strategies are evolved
depending on user standpoints in the CGM network, using multiple-world genetic
algorithm.

本研究旨在探讨在用户立场的差异下，Monetary Rewards 对文章发布策略的影响。我们使用多重世界遗传算法，通过 CGM 游戏理论模型的实验，证明了用户在 CGM 网络中会出现多种具有现实意义的主导策略。