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科技导报
|专题论文
2018
, 36
(8) :
31
-39
基于神经网络的社交网络用户动机与行为关系研究
全屏
罗智霞1,2 , 安景文2 , 吴竹南2
作者信息
1. 燕京理工学院, 三河 065201;
2. 中国矿业大学(北京)管理学院, 北京 100083
作者简介:
罗智霞,博士,研究方向为企业管理,电子信箱:zxluo11@163.com
The relationship between user motivations and behaviors of SNS based on neural network
LUO Zhixia1,2 , AN Jingwen2 , WU Zhunan2
Affiliations
1. Yanching Institute of Technology, Sanhe 065201, China;
2. School of Management, China University of Mining and Technology(Beijing), Beijing 100083, China
出版时间: 2018-04-28
doi: 10.3981/j.issn.1000-7857.2018.08.003
文章导航
以社交网络用户为研究对象,扩充了用户的“获利性”动机和“社交获利”行为,通过调研问卷,利用神经网络模型分析社交网络用户动机与行为的关系。结果表明,不同动机对不同行为的影响程度不同,动机对行为的整体贡献度呈现出有用性 > 自我呈现 > 娱乐性 > 易用性 > 获利性 > 从众性 > 社交性的趋势。建议管理人员持续完善网站的社交和娱乐功能,从用户心理出发构建品牌辨识度高、有特色的社交网络。
社交网络
/
用户动机
/
用户行为
/
神经网络
Following a literature review, based on the "profitability" motivation and "social profitability" behavior, this paper studies the user's behavior of SNS. A research questionnaire is designed, the reliability and the validity of the scale are assessed, and the Neural Network is used to analyze the contribution of the users' motivation to the behavior of SNS. It is shown that different motivations have different effects on different behaviors. Various motivations contribute differently to the behaviors and a general tendency is seen as:usefulness > self-presentation > recreation > accessibility > profitability > conformity > sociability. Finally, some recommendations are proposed to run the SNS based on the analysis of the motivation and the users' behavior.
SNS (social network site)
/
user motivation
/
user behavior
/
neural network
罗智霞, 安景文, 吴竹南.
基于神经网络的社交网络用户动机与行为关系研究.
科技导报,
2018
, 36
(8)
: 31
-39
.
DOI: 10.3981/j.issn.1000-7857.2018.08.003
LUO Zhixia, AN Jingwen, WU Zhunan.
The relationship between user motivations and behaviors of SNS based on neural network[J].
Science & Technology Review ,
2018
, 36
(8)
: 31
-39
.
DOI: 10.3981/j.issn.1000-7857.2018.08.003
2018年第36卷第8期
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文章信息
doi: 10.3981/j.issn.1000-7857.2018.08.003
接收时间:2018-03-10
首发时间:2018-04-27
出版时间:2018-04-28
收稿日期:2018-03-10
修回日期:2018-04-04
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2018.08.003
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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