目录
摘要Ⅱ
关键词Ⅱ
AbstractⅢ
引言
引言1
一、国内外研究现状1
（一）文献综述1
（二）现有问题和解决方案2
二、研究假设及概念模型2
（一）研究假设2
1．个人因素2
2．环境因素3
3．平台因素3
4．信息因素4
（二）概念模型4
三、研究设计与结果分析5
（一）问卷设计与问卷结构5
（二）数据收集6
（三）信度效度分析7
（四）多元回归分析9
（五）基本信息个体差异检验12
（六）假设验证结果13
四、研究结果讨论14
五、建议和展望15
致谢16
参考文献17
附录：问卷17
图21社交网络用户信息偶遇影响因素模型5
图31 旋转成分矩阵8
图32 多元逐步回归分析显著性检验10
图33 回归方程拟合优度11
图34 回归方程方差分析结果12
表31样本基本资料统计6
表32 信度Cronbach α值7
表33 基本信息个体差异检验表13
表34 假设检验结果汇总14
社交网络中信息偶遇的影响因素研究
摘 要
信息偶遇作为一种被动的信息获取方式，已逐渐成为社交网络用户获取信息的一个重要途径，要如何利用好信息偶遇这一信息行为，充分发挥其价值，成了许许多多信息发布者眼中的一道难题。此调研正是针对如何利用好信息偶遇这一问题，综合了现有的国内外关于信息偶遇的研究成果，加以分析后提出自己关于社交网络中信息偶遇影响因素的假设。通过问卷调查收集数据并使用excel、SPSS等工具进行分析，先根据信效度检验排除不适用于分析的调查结果，再经过差异性检验与多元回归分析来验证这些假设的正确性，将没有显著影响的假设排除，留下对信息偶遇确实产生了显著影响的假设，找出提高信息偶遇概率的方法，进而为信息发布者能更好地利用 *51今日免费论文网|www.51jrft.com +Q: ￥351916072$ 
社交网络中的信息偶遇提供参考。调研结果表明信息偶遇状况受到用户的兴趣爱好与情绪状态、发生时的时间状态、信息发布平台的知名度、信息的有用性与娱乐性的显著正向影响，同时用户的年龄会对信息的有用性产生显著正向影响。信息发布者在发布信息之前综合考虑这些因素将会有效提升信息偶遇的发生概率，对于让更多人关注到信息有着重要意义。
Research on the influencing factors of information encountering in social network
ABSTRACT
As a passive way of information acquisition, information encounter has gradually become an important way for social network users to acquire information. How to make good use of this information behavior and give full play to its value has become a problem in the eyes of many information publishers. This research aims at the problem of how to make good use of information encounter, and combines the existing research results about information encounter at home and abroad. After analyzing, it puts forward its own hypothesis about the influencing factors of information encounter in social networks. The data were collected by questionnaire and analyzed by using Excel, SPSS and other tools. First, the survey results that were not suitable for analysis were excluded according to the reliability and validity test, and then the correctness of these hypotheses was verified through the difference test and multiple regression analysis. The hypotheses that had no significant impact were excluded, and the hypotheses that did have a significant impact on the information encounter were left, and the probability of improving the information encounter was found The method of rate provides a reference for information publishers to make better use of information encounter in social networks. The results show that information encounter is positively affected by users interests and emotions, time state when it occurs, popularity of information publishing platform, usefulness and entertainment of information, and users age will have a significant positive impact on the usefulness of information. Considering these factors before releasing information, information publishers will effectively improve the probability of information encounter, which is of great significance for more people to pay attention to information.

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