2020 7th International Conference on Behavioural and Social Computing (BESC)最新文献_第3页

Wireless EEG system for Sport Science: quantitative analysis of movement 运动科学无线脑电图系统:运动定量分析

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348300

M. Sultanov, K. İsmailova

{"title":"Wireless EEG system for Sport Science: quantitative analysis of movement","authors":"M. Sultanov, K. İsmailova","doi":"10.1109/BESC51023.2020.9348300","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348300","url":null,"abstract":"The study considered data from EEG rhythms in the eyes-closed at rest and the eyes-open condition during dynamic movements in real-time soccer training. EEG recorded from the orbitofrontal cortex using the NeuroSky single-channel wireless mobile system with pair dry non-contact sensors. The participants included professional male soccer players. Results from this study showed a reduction in the power spectrum of EEG rhythms during soccer training compared to the rest condition and demonstrated statistically significant differences $(pmb{p} < mathbf{0.03})$ between the rest and during dynamic movement conditions obtained as the summary value of bands in EEG power spectral estimates (1–50 Hz). The decrease the power spectrum in frontal areas associate with “neural efficiency” among team sports athletes and relationship to cognitive function as well. In addition, the findings are interpreted to suggest that delta rhythm is a plausible neurobiological index of physical fatigue during sport training among soccer players. These findings encourage the application of wireless portable EEG systems for studies of brain functions among sportspersons.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126284596","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: 2

A Deep Learning Model for Early Detection of Fake News on Social Media* 社交媒体虚假新闻早期检测的深度学习模型*

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348311

Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, J. Ouedraogo, Lin Li

{"title":"A Deep Learning Model for Early Detection of Fake News on Social Media*","authors":"Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, J. Ouedraogo, Lin Li","doi":"10.1109/BESC51023.2020.9348311","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348311","url":null,"abstract":"Fake news detection has recently become an important topic of research. This is due to the impact of fake news on the internet especially on social media. Numerous of the models proposed in the previous studies are based on supervised learning. Therefore, these models are unable to deal with the huge amount of unlabeled data about fake news. Few studies focused on early detection. In this study, we built a semi-supervised learning model to detect fake news on social media at an early stage. By using a semi-supervised learning, we make our model able to deal with the huge amount of unlabeled data on social media. We first built a model to extract users' opinion expressed in comments, then we used CredRank Algorithm to evaluate users' credibility and built a small network of users involved in the spread of a given news. The outputs of these three steps serve as inputs of our news classifier SSLNews. SSLNews is composed of three networks: a shared CNN, an unsupervised CNN and a supervised CNN. We used real world datasets to evaluate our model, Politifact and Gossipcop. When using 25% of labeled data, SSLNews reaches an accuracy of 72.25% on Politifact and 70.35% on Gossipcop. When using data produced in the first 10 minutes of the beginning of the spread of the news, SSLNews reaches an accuracy of 71.10% on Politifact and 68.07% on Gossipcop.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129951503","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: 14

Electricity Price Forecasting using Convolution and LSTM Models 基于卷积和LSTM模型的电价预测

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348313

D. Mittal, Shaowu Liu, Guandong Xu

引用次数: 3

Sentiment Analysis of Russian IRA Troll Messages on Twitter during US Presidential Elections of 2016 2016年美国总统大选期间推特上俄罗斯IRA喷子信息的情绪分析

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348287

Ussama Yaqub, Mujtaba Ali Malik, Salma Zaman

引用次数: 2

Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track “Covid-19 and Computational Social Psychology” 中国的病原体流行、集体主义与网络悲伤表达*:专题报告“Covid-19与计算社会心理学”

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348332

Hao Chen, Bin Hong, Hui-Lin Zang

{"title":"Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track “Covid-19 and Computational Social Psychology”","authors":"Hao Chen, Bin Hong, Hui-Lin Zang","doi":"10.1109/BESC51023.2020.9348332","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348332","url":null,"abstract":"Online collective emotions have regional distribution differences on the macro-level, and it is closely related to the actual offline collective behavior. Therefore, it is necessary to understand the underlying factors. Studies have shown that individualism-collectivism significantly affects the spatial distribution of collective emotions, and it also is affected by social and ecological factors such as pathogen prevalence. Based on this, we hypothesized that the pathogen prevalence affects collective happiness and sadness by collectivism. Using public archival data, existing regional collectivism index, and emotional expression data in Chinese micro-blog Weibo, we examine the impact of pathogen prevalence on the expression of happiness and sadness at the province-level in China. The results showed that the pathogen prevalence positively predicted the expression of sadness, and collectivism mediated this influence. However, we didn't find that the pathogen prevalence suppressed the expression of happiness through collectivism. Finally, we discussed how the findings shed light on research concerning online emotional expression and possible future directions.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124884516","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

Characterization of temporal patterns in the occurrence of aggressive behaviors in Bogotá (Colombia) 波哥大<e:1>(哥伦比亚)攻击行为发生的时间模式特征

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348283

A. Reyes, J. Rudas, Cristian Pulido, Jorge Victorino, Darwin Martínez, L. A. Narváez, Francisco Gómez

{"title":"Characterization of temporal patterns in the occurrence of aggressive behaviors in Bogotá (Colombia)","authors":"A. Reyes, J. Rudas, Cristian Pulido, Jorge Victorino, Darwin Martínez, L. A. Narváez, Francisco Gómez","doi":"10.1109/BESC51023.2020.9348283","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348283","url":null,"abstract":"Aggressive behaviors are acts (through physical, verbal, or psychological means) that can cause harm, pain, or injury to another person. In Colombia, aggressive behaviors that shock public peace or that are reported to the emergency line are classified as quarrels. About a million quarrels were reported in Bogotá city during 2017–2018, and 70% of these incidents generated personal injuries or homicides. Considering these statistics, the characterization and prediction of this phenomenon adopt relevance in the security agendas of decision-makers. The identification of temporal patterns in the occurrence of aggressive behavior might help to get a better understanding of the phenomenon and develop more accurate predictive models. In this paper, we propose a characterization of temporal patterns in the occurrence of aggressive behaviors in Bogota city. The characterization is developed through predictability quantification using Colwell's predictability measures. Results suggest that aggressive acts are more predictable in some areas and that (in most cases) predictability is associated with the existence of cyclic or temporal patterns in the occurrence of this type of incident.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522164","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

Covid-19 increased collectivistic expression on Sina Weibo 新冠疫情增加了新浪微博上的集体主义表达

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348324

Xiaopeng Ren, Nuo Han, T. Zhu

引用次数: 4

Contextualised Cyber Security Awareness Approach for Online Romance Fraud 网络浪漫诈骗的情境化网络安全意识方法

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348307

Sarah Dickerson, E. Apeh, Gail Ollis

{"title":"Contextualised Cyber Security Awareness Approach for Online Romance Fraud","authors":"Sarah Dickerson, E. Apeh, Gail Ollis","doi":"10.1109/BESC51023.2020.9348307","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348307","url":null,"abstract":"Action Fraud reported 50 million pounds was lost to romance fraud in 2018, a 27% increase on the previous year, despite an increase in publicity and guidance surrounding the issue. Romance fraud is an ever-increasing issue, and the statistics highlight the need for a proactive, adaptable, and bespoke approach to assist online dating platforms in combatting the problem, providing targeted awareness to customers while improving the user experience of dating platforms. Currently, there is no effective approach for increasing user awareness and providing real-time intervention on romance fraud. Existing methods on the platform focus on identifying, preventing, and stopping threat actors with technological measures rather than educating potential victims. This paper discusses the existing state of romance fraud and proposes a solution to mitigate the problems by developing a targeted awareness approach. The solution can be adopted by online dating platforms for early identification and timely intervention. It includes bespoke advisory messages to be provided to the user and risk categorisation criteria as well as workflows and prototypes to assist platforms with implementation. The results from the primary research clearly support the objectives showing that timely intervention helps to mitigate against fraud, decreasing the likelihood of it occurring. This approach offers demonstrable improvements to dating platforms.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131163598","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: 2

Monitoring and Controlling Phone Usage to Raise Awareness and Combat Digital Addiction 监控和控制手机的使用，提高人们对数字成瘾的认识

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348314

K. Potapova, D. Cetinkaya, G. Liebchen

引用次数: 1

Social Network Analysis of Hadith Narrators from Sahih Bukhari 《布哈里圣训》叙述者的社会网络分析

2020 7th International Conference on Behavioural and Social Computing (BESC) Pub Date : 2020-11-05 DOI: 10.1109/BESC51023.2020.9348299

T. Alam, J. Schneider

{"title":"Social Network Analysis of Hadith Narrators from Sahih Bukhari","authors":"T. Alam, J. Schneider","doi":"10.1109/BESC51023.2020.9348299","DOIUrl":"https://doi.org/10.1109/BESC51023.2020.9348299","url":null,"abstract":"The ahadith (plural of hadith), prophetic traditions for the Muslims worldwide, are narrations originating from the sayings and the deeds of Prophet Muhammad (pbuh). They are considered as one of the fundamental sources of Islamic legislation along with the Quran. The list of persons involved in each hadith's narration is carefully scrutinized by scholars studying the hadith, concerning their reputation and authenticity of the hadith. This is due to the ahadith's legislative importance in Islamic principles. Many narrators contributed to this responsibility of preserving prophetic narrations over the centuries. But to date, no systematic and comprehensive study adapted to quantify their contributions in the propagation of hadith across generations. This study represented the chain of narrators of the hadith collection from Sahih Bukhari as a social network graph. We discovered this network as a scale-free network based on social network analysis (SNA) on the proposed graph. We identified a list of influential narrators from the companions (e.g., Abu Hurairah, Ibn Abbas, Ibn Umar, etc.) as well as from the second and third-generation (e.g., Shu'bah bin al-Hajjaj, Az-Zuhri, Sufyan bin ‘Uyaynah, Sufyan bin Sa'id Ath-Thawri, etc.) who contributed significantly in the propagation of hadith. We discovered sixteen different communities from the network of narrators. Most narrators were centered in Makkah and Madinah (in today's Saudi Arabia) in the era of companions and, then, gradually, the center of hadith narrators shifted towards Kufa, Baghdad (in today's Iraq), and central Asia (e.g., Uzbekistan, Turkmenistan) over a period of time. To the best of our knowledge, this the first comprehensive and systematic study based on SNA, representing the narrators as a social graph to analyze their contribution to the preservation and propagation of hadith.","PeriodicalId":224502,"journal":{"name":"2020 7th International Conference on Behavioural and Social Computing (BESC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133152013","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