A Generic Approach to Evaluate the Success of Online Communities

被引:0
作者
Chebil, Raoudha [1 ]
Chaari, Wided Lejouad [1 ]
Cerri, Stefano A. [2 ]
机构
[1] Manouba Univ UMA, Natl Sch Comp Studies ENSI, Manouba, Tunisia
[2] UM, Natl Ctr Sci Res CNRS, Montpellier Lab Informat Robot & Microelect LIRMM, Montpellier, France
来源
COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2017, PT I | 2017年 / 10448卷
关键词
Online community; Success evaluation; Failure detection; Failure explanation; Social networks;
D O I
10.1007/978-3-319-67074-4_21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The success of online communities depends on different aspects and has been subject of several evaluation works. Most of the existing works in this scope are not generalizable due to their strong dependence to the considered community characteristics. Face to this finding, our aim is to propose a generic approach to evaluate and to improve the success of online communities. This paper starts by an identification of the success determinants of online communities including the participants, the technology as well as the common goal. After that, we propose a generic evaluation approach based on two levels. The first level consists in a failure detection based on a quantification of the success determinants. The second level focuses on a failure explanation and an identification of the most plausible causes of the detected failures. This approach was applied to evaluate the success of a social network-based community; it gave reliable results.
引用
收藏
页码:212 / 222
页数:11
相关论文
共 14 条