Proceedings of the 4th International Conference on Crowd Science and Engineering最新文献_第3页

Analysis of Knowledge Providers' Learning Behavior: A Case Study of Zhihu Live 知识提供者学习行为分析——以知乎生活为例

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371252

Tuotuo Qi, Yanlin Ma, Tianmei Wang, Nuo Chen

引用次数: 1

Which kinds of online reviews predict the online purchase behavior? 哪些在线评论预测了在线购买行为?

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371260

Jinghuan Zhang, Wenfeng Zheng, Yukang Su, Xiaoye Xu

{"title":"Which kinds of online reviews predict the online purchase behavior?","authors":"Jinghuan Zhang, Wenfeng Zheng, Yukang Su, Xiaoye Xu","doi":"10.1145/3371238.3371260","DOIUrl":"https://doi.org/10.1145/3371238.3371260","url":null,"abstract":"As the continuous growth of online shopping, the massive data behind this are valuable sources for website to study and adjust marketing strategies. Therefore, it is of great significance to scrutinize the consumers ' purchase behaviours and the related factors that have major effects on purchase intention or behaviour. This study analysed the data from laboratory setting first, then the online sales data from Taobao.com to explore how the influential factors, such as online reviews (positive vs. negative mainly), risk perception (higher vs. lower) and product types (experiencing vs. searching), interacted on the online purchase intention or online purchase behaviour. The results showed that: (1) in the laboratory setting, the online purchase intention was greatly affected by the online reviews and the interaction between the reviews and the product types. In particular, the purchase intention was higher presented with positive reviews than negative ones, especially for experiencing products. Furthermore, stronger purchase intention was found for experiencing goods with lower risk perception and positive reviews. (2) For the real online transaction data, interestingly, the positive reviews had no effects on purchase, but the neural/negative reviews may negatively affect the purchase behaviour for products with higher risk perception. In addition, these findings were discussed from theories and practice perspectives respectively.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127088554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Influencing Factors of Public Opinion Diffusion Behavior in Public Emergencies: Moderate Role of Government Information Publishing Strategy 突发公共事件中舆论传播行为的影响因素:政府信息发布策略的调节作用

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371249

Xinxue Zhou, Yuning Zhao, Tianmei Wang, Lin-Zhi Guo, Wa Niu

{"title":"The Influencing Factors of Public Opinion Diffusion Behavior in Public Emergencies: Moderate Role of Government Information Publishing Strategy","authors":"Xinxue Zhou, Yuning Zhao, Tianmei Wang, Lin-Zhi Guo, Wa Niu","doi":"10.1145/3371238.3371249","DOIUrl":"https://doi.org/10.1145/3371238.3371249","url":null,"abstract":"This research studies the online public opinion diffusion behavior influencing factors of public emergencies from the perspective of government information disclosure. Based on the online public opinion filed and theory of reasoned action, this paper constructed the public opinion diffusion behavior model of public emergencies, and introduced the government information publishing strategy as a moderator. Investigating the influence mechanism of different government information publishing strategies on media information and personal perception relationships is the key focus of this paper. The results showed that the source credibility and information popularity affect the people's psychological perception (perceived opinion of leaders, flow experience, perceived risk, emotional attitude), which ultimately affects the public opinion diffusion behavior. At the same time, comparisons of translucent and opaque government information, the degree of government information disclosure, negatively affects the influence of source credibility on individual perception, and the influence of information on the immersive experience and the perceived opinion of the leader.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"45 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114128994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The General Model of Atom-type Simulation Members in Crowd Network 群体网络中原子型仿真成员的一般模型

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371263

Zhaoyu Han, Hongbo Sun, Baode Fan, Yongguang Zhao

引用次数: 2

The Key Considerations In Building A Crowd-testing Platform For Software Developers 为软件开发人员构建群体测试平台的关键考虑因素

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371247

Qamar Naith, F. Ciravegna

{"title":"The Key Considerations In Building A Crowd-testing Platform For Software Developers","authors":"Qamar Naith, F. Ciravegna","doi":"10.1145/3371238.3371247","DOIUrl":"https://doi.org/10.1145/3371238.3371247","url":null,"abstract":"External testing of mobile software on a larger number of mobile devices by several users is often needed to ensure quality. Currently, the evidence as to what extent developers accept large-scale crowd-testing is limited. This paper aims to (1) gauge developers' perspectives with respect to the participation of the public and anonymous crowd testers, with varied experiences; (2) gather the developers' needs that could reduce their concerns of dealing with the public crowd testers and increase the opportunity of using the crowd-testing platforms. An online exploratory survey, conducted to included 50 Android and iOS developers from different countries with diverse experiences. This paper revealed several findings including the information that must be provided by developers and crowd testers for achieving effective crowd-testing process; the factors that can ensure the reliability and accuracy of the results provided by the public crowd testers. The findings conclude that (90%) of developers are potentially willing to perform testing via the public crowd testers worldwide. This on condition that several fundamental features were available which enable them to perform more realistic tests without artificial environments on large numbers of devices. The results also demonstrated that a group of developers does not consider testing as a serious job that they have to pay for, which can affect the gig-economy and global market. We aim at helping the individual or small development teams who have limited resources to perform large-scale testing of their products.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128138262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimizing Information Sharing in Crowd Networks based on Reinforcement Learning 基于强化学习的人群网络信息共享优化

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371240

Xiaoni Wang, Zhiwen Pan, Zhouxia Li, Yifan Du, Yuanlin Zhu, Wen Ji, Feng Yang

引用次数: 0

A Method of Acquiring Accurate Information from Fuzzy Demand 一种从模糊需求中获取准确信息的方法

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371242

Yadong Huang, Y. Chai, Yi Liu, Anting Zhang

引用次数: 0

Analysis of Industrial Internet Firm Size Based on Transaction Efficiency 基于交易效率的工业互联网企业规模分析

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371255

Li Wang

引用次数: 0

Comprehensive Data Management and Analytics for General Society Survey Dataset 综合社会调查数据集的综合数据管理与分析

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371269

Zhiwen Pan, S. Zhao, J. Pacheco, Yu-xin Zhang, Xiaofan Song, Yiqiang Chen, L. Dai, Jun Zhang

{"title":"Comprehensive Data Management and Analytics for General Society Survey Dataset","authors":"Zhiwen Pan, S. Zhao, J. Pacheco, Yu-xin Zhang, Xiaofan Song, Yiqiang Chen, L. Dai, Jun Zhang","doi":"10.1145/3371238.3371269","DOIUrl":"https://doi.org/10.1145/3371238.3371269","url":null,"abstract":"The General Society Survey(GSS) is a kind of government-funded survey which aims at examining the Socio-economic status, quality of life, and structure of contemporary society. GSS dataset is regarded as one of the authoritative source for the government and organization practitioners to make data-driven policies. The previous analytic approaches for GSS dataset are designed by combining expert knowledges and simple statistics. In this paper, we proposed a comprehensive data management and data mining approach for GSS datasets. The approach is designed to be operated in a two-phase manner: a data management phase which can improve the quality of GSS data by performing attribute preprocessing and filter-based attribute selection; a data mining phase which can extract hidden knowledges from the dataset by performing data mining analysis including prediction analysis, classification analysis, association analysis and clustering analysis. By leveraging the power of data mining techniques, our proposed approach can explore knowledges in a fine-grained manner with minimum human interference. Experiments on Chinese General Social Survey dataset are conducted at the end to evaluate the performance of our approach.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"79 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116475269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Environmental Monitoring System Based on Blockchain 基于区块链的环境监测系统

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371245

Jing Yan, Fan Zhang, Jun-chun Ma, Xinxin An, Yuan Li, Yadong Huang

引用次数: 5