2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)最新文献_第6页

Content Characteristics and Transmission Strategies of Social Media Rumors in China: Big Data Analysis of WeChat Rumors 中国社交媒体谣言的内容特征及传播策略——微信谣言的大数据分析

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963026

Lingnan He, Jing Gu, Dan Li, Kaisheng Lai

{"title":"Content Characteristics and Transmission Strategies of Social Media Rumors in China: Big Data Analysis of WeChat Rumors","authors":"Lingnan He, Jing Gu, Dan Li, Kaisheng Lai","doi":"10.1109/BESC48373.2019.8963026","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963026","url":null,"abstract":"Understanding the characteristics and patterns of rumors on social media has become one of the key issues of rumor governance. However, there is some empirical evidence about the characteristics of rumors on WeChat, the most popular social media platform in China with more than 800 million users. To investigate the content characteristics and transmission strategies of rumors on WeChat, we collected 2175 rumor articles from WeChat from April 2015 to March 2016. It was found that political and societal rumors accounted for the highest proportion of rumors on WeChat. The proportion of positive emotional words found in the most popular rumors was significantly higher than that in the least popular rumors. Further analysis of rumor transmission strategies indicated that nearly one-third of the rumors have the interactive characteristics of induced sharing. Rumor articles on WeChat were mostly published around people's leisure time and holidays. Most articles were published in the front positions at each instance of time. However, the headline rumor articles did not receive the highest number of views and likes. Our findings can be beneficial for the scientific allocation of rumor regulatory resources and rumor intervention.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272448","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 hypergraph matching based on CCRP 基于CCRP的超图匹配

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963517

Jun Zhou, Tao Wang, Yi Jin

引用次数: 0

Domain-Camera Adaptation for Unsupervised Person Re-Identification 无监督人再识别的域相机自适应

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963072

Jiajie Tian, Zhu Teng, Yan Li, Rui Li, Yi Wu, Jianping Fan

{"title":"Domain-Camera Adaptation for Unsupervised Person Re-Identification","authors":"Jiajie Tian, Zhu Teng, Yan Li, Rui Li, Yi Wu, Jianping Fan","doi":"10.1109/BESC48373.2019.8963072","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963072","url":null,"abstract":"Although supervised person re-identification (Re-ID) performance has been significantly improved in recent years, it is still a challenge for unsupervised person Re-Iddue to its absence of labels across disjoint camera views. On the other hand, Re-Idmodels trained on source domain usually offer poor performance when they are tested on target domain due to inter-domain bias e.g. different classes and intra-domain difference e.g camera variance. To overcome this problem, given a labeled source training domain and an unlabeled target training domain, we propose an unsupervised transfer method, Domain-Camera Adaptation model, to generate a pseudo target domain by bridging inter-domain bias and intra-domain difference. The idea is to fill the absence of labels in target domain by transferring labeled images of source domain to target domain across cameras. Then we propose a cross-domain classification loss to extract discriminative representation across domains. The intuition is to think of unsupervised learning as semi-supervised learning in target domain. We evaluate our deep model on Market-1501 and DukeMTMC-reID and the results show our model outperforms the state-of-art unsupervised Re-ID methods by large margins.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692067","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

Protecting Privacy in Digital Era on Cloud Architecture for Banking and Financial Services Industry 数字时代银行金融服务行业的云架构隐私保护

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963459

Abhishek Mahalle, J. Yong, Xiaohui Tao

{"title":"Protecting Privacy in Digital Era on Cloud Architecture for Banking and Financial Services Industry","authors":"Abhishek Mahalle, J. Yong, Xiaohui Tao","doi":"10.1109/BESC48373.2019.8963459","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963459","url":null,"abstract":"With an intention to provide easy to use and convenience to customers, Banking and Financial Services Corporations have enabled key services over handheld and wearable digital devices. With use of these devices on everyday basis for several other purpose along with financial transaction, customers are leaving digital foot prints. This digital data can be collected, stored, analysed and used to learn consumer behaviour, location, taste & preferences and monetary spending habits. Based on historical information collected from several areas (social media, transaction analytics, cloud services utilized) and developing suggestions for customer for better choices available in everyday life is where Banking and Financial Services Corporations are competing and willing to provide personalized experience. The use of data to make prediction is through consent from customer, however, not all customer would like their data being collected or used or both. The user or customer consent form over digital application comes with a “take it or leave it” approach. This is where the customer needs and their privacy related aspects are concerned and compromised. In this paper, we have identified the way digitization is breaching customer privacy, changes required over digital platform and data collection frequency to preserve customer's (an individual's) right of being let alone. This paper covers the methods to collect private data, methods to use private data for marketing of goods & services, harm to an individual due these unauthorized promotional activities and solution to protect an individual's privacy.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"51 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134475763","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

UHF RFID Information Security Transmission Technology and Application Based on Domestic Cryptographic Algorithm 基于国产密码算法的超高频RFID信息安全传输技术及应用

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963038

Mengfan Tian, Junpeng Qi, Rui Ma

引用次数: 0

The Multi-product Newsvendor Problem: Review and Extensions 多产品报贩问题:审查和扩展

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8962977

Mengting Mu, Junlin Chen, Yu Yang, Jian Guo

引用次数: 1

How do the personality traits affect observational behaviors when judging whether smiles are genuine or not? 在判断微笑是否真实时，人格特征是如何影响观察行为的?

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963457

Kuangzhe Xu, Hiyori Tagami, Toshihiko Matsuka

{"title":"How do the personality traits affect observational behaviors when judging whether smiles are genuine or not?","authors":"Kuangzhe Xu, Hiyori Tagami, Toshihiko Matsuka","doi":"10.1109/BESC48373.2019.8963457","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963457","url":null,"abstract":"Humans' ability to discriminate a Duchenne (genuine) smile from non-Duchenne (“presented”) smile attracted scientific interests among various types of smiles. To better understand humans' capability and its mechanisms to discriminate Duchenne and non-Duchenne smiles, we examined people's observational behaviors during Duchenne/non-Duchenne discrimination tasks using an eye-tracker. In so doing, we also collected data on participants' personality traits as some previous studies showed that observational behaviors are strongly influenced by the personality traits of observers. With two Experiment, we found differences in observational behaviors between correct and incorrect discrimination, and that different personality traits were associated with different observational behaviors. However, we did not found any significant relationship between observers' personality traits and judgment accuracies. Thus, although we found differential observational behaviors for correct and incorrect respondents, it seems that these differences were nothing to do with participants' personality traits.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125191839","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

WeaGAN:Generative Adversarial Network for Weather Translation of Image among Multi-domain 基于生成对抗网络的多域气象图像翻译

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963257

Yating Lin, Yidong Li, Haidong Cui, Z. Feng

{"title":"WeaGAN:Generative Adversarial Network for Weather Translation of Image among Multi-domain","authors":"Yating Lin, Yidong Li, Haidong Cui, Z. Feng","doi":"10.1109/BESC48373.2019.8963257","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963257","url":null,"abstract":"Weather translation of image refers to the task of changing the weather of an input image to desired weather while preserving the structure of the image's content, which belongs to a task of image-to-image translation. Recent works have made great process in image-to-image translation between two domains and some works have even achieved multi-domain translation within a single model. However, existing works have limited robustness in handling weather translation among multi-domain, since bad weather produces a loud noise and it is challenging to process scene images without fixed pattern in a unified model. In this paper, we propose WeaGAN based on encoder-decoder architecture and generative adversarial training process to translate the weather of image among multi-domain. In particular, We employ SE block in generator and combine adversarial loss, classification loss and content loss for visually detailed and realistic result. Experience in qualitative and quantitative aspect on synthetic dataset and real dataset show the effectiveness and competitiveness of our method compared with state-of-the-art works.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128786919","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: 4

Research and Analysis of User Behavior Fingerprint on Security Situational Awareness Based on DNS Log 基于DNS日志的安全态势感知用户行为指纹研究与分析

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963120

Zhuosheng Jia, Zhen Han

引用次数: 3

The Dynamic Factors of Guangdong's Economic Growth from the Perspective of Supply-side Reform 从供给侧改革看广东经济增长的动力因素

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963393

Ziyu Xu, Jin Wu

引用次数: 0