2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)最新文献

Online Product Advertisement Prediction and Explanation in Large-scale Social Networks 大型社交网络中的在线产品广告预测与解释

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732145

A. Malhi, Manik Madhikermi, Yaman Maharjan, Kary Främling

{"title":"Online Product Advertisement Prediction and Explanation in Large-scale Social Networks","authors":"A. Malhi, Manik Madhikermi, Yaman Maharjan, Kary Främling","doi":"10.1109/SNAMS53716.2021.9732145","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732145","url":null,"abstract":"Online advertisement has become a major commercial campaign in social networks. Many big companies have invested massive resources for collecting data about the users and their web surfing habits. Utilising these data, the advertisement companies can get valuable insights about the users and their interests. The gathered information can improve the effectiveness of advertisement campaigns by identifying potential customers of a product/service or by identifying purchase patterns. A successful advertisement campaign depends on the company's ability to fully leverage these data assets. As the artificial intelligence flourish with the machine learning models which were offered as a solution for such a problem depending on dataset availability and computation power but the resulting systems suffer from a loss of transparency and interpretability, especially for end-users.In order to overcome the aforementioned problem of explainability of the models, we propose an explainable and interpretable approach to solve this problem. In the first stage, machine learning model will be used to develop a predictive model that is capable of predicting potential customers who are likely to click the advertisement of a particular product/services. This approach is tested on the public advertising dataset. In the second stage, the predictive model is further utilised by local surrogate model initially using Local Interpretable Model-agnostic Explanations (LIME) to locally approximating the model around a given prediction and then with global interpretable explanations by considering whole machine learning model at once. Finally, Contextual Importance and Utility (CIU) is used for global explanations to generate the explanations and interpretation of the prediction based on the contributing features of the dataset.","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132870","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

Learning Interactions as it Evolves in a Social Learning Management System 社会学习管理系统中的学习互动

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732106

Orven E. Llantos, M. R. Estuar

{"title":"Learning Interactions as it Evolves in a Social Learning Management System","authors":"Orven E. Llantos, M. R. Estuar","doi":"10.1109/SNAMS53716.2021.9732106","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732106","url":null,"abstract":"Human interaction is a result of an interplay between two or more entities where the interplay is a form of behavior response manifested as a physical or verbal reaction. In an online learning environment, the learning interaction studied are the interactions between the teacher and the students where interaction is seen in how one agent responds or reacts to the action of the other person. This paper tries to discover the dynamism of social networks in a social LMS environment with multiple actors including the principal, teacher, parent, and student as agents. Social network analysis was applied on the interaction data sourced from the deployment of my.eskwela, a locally developed social learning management platform, between October 15, 2019 and January 31, 2020 where learning interactions were observed during student assessment and evaluation and regular teaching sessions. Results showed increased collaboration over time. The principal's presence significantly contributed to the addition of activity nodes in the network and is considered the gatekeeper and trusted node with centrality scores of 0.174 and 0.964, respectively. Network density is less in a social network with imposed organizational hierarchy. This study contributes to the understanding of the evolving interactions where multiple stakeholders are collaborating in online learning environments.","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122831510","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

A Social Applications System for Retailing using Online Auctions 使用在线拍卖进行零售的社会应用系统

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732085

Tariq Al-Busaidi, Hazem Migdady, Hussam Alrabaiah

引用次数: 0

BiRank vs PageRank: Using SNA on Company Register Data for Fiscal Risk Prediction BiRank vs PageRank:利用SNA对公司注册数据进行财务风险预测

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732111

Göschlberger Bernhard, Deliu Dragos

{"title":"BiRank vs PageRank: Using SNA on Company Register Data for Fiscal Risk Prediction","authors":"Göschlberger Bernhard, Deliu Dragos","doi":"10.1109/SNAMS53716.2021.9732111","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732111","url":null,"abstract":"Efficient financial administrations need to ensure compliant behavior of all tax subjects without excessive personnel costs or obstruction of compliant companies. To do so, accurate prediction of non-compliance or fraud is crucial. Social Network Analysis (SNA) provides powerful tools for fraud prediction as fraudulence is often clustered in certain areas of real world social networks. In this paper we present our results of comparing PageRank and the more recent BiRank to infer risk-ranks based on network structure and prior fraud information. Specifically, we model our social network from company register data. We find that in this case study BiRank outperforms PageRank in both quality of the resulting ranks for fraud prediction and run time. The results show that this class of algorithms is generally useful for fraud and risk prediction and more specifically also illustrate the potential of BiRank in comparison, as it opens up new modeling opportunities. Our results show that selecting companies for tax audits based on BiRank yields a precision of 16.38% for the top 20.000 subjects selecting 83.4% of all fraud cases (recall).","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"543 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504544","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

pytwanalysis: Twitter Data Management And Analysis at Scale pytwanalysis:大规模的Twitter数据管理和分析

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732079

Lia Nogueira de Moura, Jelena Tešić

引用次数: 0

Vertex Separation in Networks 网络中的顶点分离

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732127

G. Cordasco, L. Gargano, A. A. Rescigno

{"title":"Vertex Separation in Networks","authors":"G. Cordasco, L. Gargano, A. A. Rescigno","doi":"10.1109/SNAMS53716.2021.9732127","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732127","url":null,"abstract":"We study the problems of finding a subset of nodes having a given size $k$ and satisfying one of the following separation properties: The set is disconnected from the rest of the graph by a small/large cut or by a small separator. The considered problems are of interest in several practical settings, such as epidemiology or disaster control as well as to contrast viruses, malware, or misinformation propagate quickly in online social networks. All the considered problems are known to be NP-hard. Being computation time for very large networks is an important issue, we consider some parameters of the input graph $G$ and show that the problems become tractable for small values of such parameters. Namely, we show that they become tractable when parameterized either by the neighborhood diversity or by the treewidth of G. We also consider the complexity of the problems when parameterized by the clique-width cw of $G$ and show that they all can be solved in $O(n^{f(text{cw})})$, where $n$ is the number of nodes in G. We also show that there is no $f(text{cw})n^{o(text{cw})-}$ time algorithm for the graph cut problems (unless ETH fails).","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132928501","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

Sentiment Polarization in Online Social Networks: The Flow of Hate Speech 在线社交网络中的情感两极分化:仇恨言论的流动

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732077

K. Katsarou, Sukanya Sunder, Vinicius Woloszyn, Konstantinos Semertzidis

引用次数: 1

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) 2021第八届社会网络分析、管理与安全国际会议(SNAMS)

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/snams53716.2021.9732108

引用次数: 0

Still Open Problems in Data Warehouse and Data Lake Research: extended abstract 数据仓库与数据湖研究中尚待解决的问题:扩展摘要

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732098

R. Wrembel

引用次数: 2

Emotion Analysis of Comments from vaccine-related YouTube Videos: Understanding the Public's Response to COVID-19 Vaccination YouTube疫苗相关视频评论的情感分析:了解公众对新冠疫苗接种的反应

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS) Pub Date : 2021-12-06 DOI: 10.1109/SNAMS53716.2021.9732116

Roland P. Abao, M. R. Estuar, Anna Angeline M. Cataluña, J. Aureus, Dorothy C. Mapua

{"title":"Emotion Analysis of Comments from vaccine-related YouTube Videos: Understanding the Public's Response to COVID-19 Vaccination","authors":"Roland P. Abao, M. R. Estuar, Anna Angeline M. Cataluña, J. Aureus, Dorothy C. Mapua","doi":"10.1109/SNAMS53716.2021.9732116","DOIUrl":"https://doi.org/10.1109/SNAMS53716.2021.9732116","url":null,"abstract":"After the World Health Organization declared COVID-19 a global pandemic in 2020, vaccination was seen as a major intervention in transmission reduction and in achieving herd immunity. However, initial response of the public to vaccination has been met with uncertainties. Moreover, while the first world countries have increased mobility due to vaccination, the Philippines have yet to cover more regions in the next few months. With YouTube being the most popular video-based social media platform for seeking information, this study explored emotions expressed by the general public among COVID-19 vaccine-promoting, vaccine-neutral and vaccine-discouraging YouTube videos. NRC Word-Emotion Association Lexicon was used to identify the emotions expressed in the video comments from the three video-tone categories. The W-ANOVA and Games-Howell post-hoc results showed that vaccine-promoting videos have significantly higher anticipation, joy, and surprise emotion scores, while sadness and fear emotion scores are significantly higher in vaccine-discouraging videos. Furthermore, trust emotion score is significantly high in vaccine-neutral videos. Understanding the basic emotions expressed by viewers on vaccine-related videos may serve as a guide in crafting effective health promotion campaigns and could provide insights on other complex emotions related to vaccination. including hesitancy and envy.","PeriodicalId":387260,"journal":{"name":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124269925","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