2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)最新文献_第4页

Revisit hemline index theory: Forecasting daily trading of short skirts by stock market in China 回顾裙摆指数理论:预测中国股市短裙的日交易量

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 2016-11-01 DOI: 10.1109/BESC.2016.7804479

Hao Chen, Ying-hong Dong, Kaisheng Lai

{"title":"Revisit hemline index theory: Forecasting daily trading of short skirts by stock market in China","authors":"Hao Chen, Ying-hong Dong, Kaisheng Lai","doi":"10.1109/BESC.2016.7804479","DOIUrl":"https://doi.org/10.1109/BESC.2016.7804479","url":null,"abstract":"There are many similarities on fluctuations between clothing styles and finance so that many theorists approach to analyze the relationship of them, the best known of which is the Hemline Index Theory. When the economy is flourishing, hemlines increase, and when the economic situation is deteriorating, the hemlines drop, perhaps even to the floor. In contrast with measuring the illustrations from the fashion magazines of monthly publication traditionally, we collected daily time series of the hemline indicator using the searching volume and trading volume of short skirts on Taobao Index website. Then we evaluated it against the closing price of Shanghai Composite Index by Granger causality analysis and liner regression model during the period of March 1, 2013 to November 30, 2013. The main finding is that the closing price of stock market is the Granger causality of the searching volume and trading volume of short skirts. The rising of closing price in stock market can predict the more searching volume and purchase of short skirts one day later which verifies the hemline index theory on daily basis. Further confirmation based on different data resources and fashion measures is needed.","PeriodicalId":225942,"journal":{"name":"2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462890","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

Simulation analysis of immunization policy diffusion in social network with ABM approach 基于ABM方法的免疫政策在社会网络中的扩散仿真分析

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 2016-11-01 DOI: 10.1109/BESC.2016.7804489

Jiao Xue, T. Terano, H. Deguchi, M. Ichikawa

引用次数: 4

Human motion retargeting with trajectory constraints 基于轨迹约束的人体运动重定向

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 2016-11-01 DOI: 10.1109/BESC.2016.7804483

Weilan Luo

引用次数: 0

Coupled behavioral analysis for user preference-based email spamming 基于用户偏好的垃圾邮件耦合行为分析

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 1900-01-01 DOI: 10.1109/BESC.2016.7804482

F. Jiang, Jin Gan, Yuanyuan Xu, Guandong Xu

{"title":"Coupled behavioral analysis for user preference-based email spamming","authors":"F. Jiang, Jin Gan, Yuanyuan Xu, Guandong Xu","doi":"10.1109/BESC.2016.7804482","DOIUrl":"https://doi.org/10.1109/BESC.2016.7804482","url":null,"abstract":"In this paper, we develop and implement a new email spamming system leveraged by coupled text similarity analysis on user preference and a virtual meta-layer user-based email network, we take the social networks or campus LAN networks as the spam social network scenario. Fewer current practices exploit social networking initiatives to assist in spam filtering. Social network has essentially a large number of accounts features and attributes to be considered. Instead of considering large amount of users accounts features, we construct a new model called meta-layer email network which can reduce these features by only considering individual user's actions as an indicator of user preference, these common user actions are considered to construct a social behavior-based email network. With the further analytic results from text similarity measurements for each individual email contents, the behavior-based virtual email network can be improved with much higher accuracy on user preferences. Further, a coupled selection model is developed for this email network, we are able to consider all relevant factors/features in a whole and recommend the emails practically to the user individually. The experimental results show the new approach can achieve higher precision and accuracy with better email ranking in favor of personalised preference.","PeriodicalId":225942,"journal":{"name":"2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814633","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

BESC 2016 program committee BESC 2016项目委员会

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 1900-01-01 DOI: 10.1109/besc.2016.7804507

Guandong Xu

引用次数: 0

BESC 2016 organizing committee BESC 2016组委会

2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC) Pub Date : 1900-01-01 DOI: 10.1109/besc.2016.7804506

Paul Wang, Yang Zhao, User Modeling, Yidong Li, Beijing Jiaotong University, China, Sesssion Chair, Publications Chair, Frank Jiang

引用次数: 0