Analysis of Rewards on Reward-Based Crowdfunding Platforms

被引：0
|
作者：
Lin, Yusan [1 ]
Lee, Wang-Chien [1 ]
Chang, Chung-Chou H. [2 ]
机构：
[1] Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA
[2] Univ Pittsburgh, Dept Med, Pittsburgh, PA 15213 USA
来源：
PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016 | 2016年
关键词：
CHOICE; TOO;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Today, crowdfunding has emerged as a popular means for fundraising. Among various crowdfunding platforms, reward-based ones are the most well received. However, to the best knowledge of the authors, little research has been performed on rewards. In this paper, we analyze a Kickstarter dataset, which consists of approximately 3K projects and 30K rewards. The analysis employs various statistical methods, including Pearson correlation tests, Kolmogorov-Smirnow test and Kaplan-Meier estimation, to study the relationships between various reward characteristics and project success. We find that projects with more rewards, with limited offerings and late-added rewards are more likely to succeed.
引用
收藏
页码：501 / 504
页数：4
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