社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0023

Luke R. Hansen

引用次数: 0

Through a Scanner Darkly: Machine Sentience and the Language Virus 黑暗中的扫描仪机器知觉与语言病毒

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0024

Maurice Bokanga;Alessandra Lembo;John Levi Martin

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Total Contents 总内容

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSCTUP.2023.10412136

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Bitcoin Price Manipulation Regulation from a Game Perspective 从博弈角度看比特币价格操纵监管

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0027

Yingxin Gao;Yanmei Zhang;Zheng Lin;Aihua Jiang

{"title":"Bitcoin Price Manipulation Regulation from a Game Perspective","authors":"Yingxin Gao;Yanmei Zhang;Zheng Lin;Aihua Jiang","doi":"10.23919/JSC.2023.0027","DOIUrl":"https://doi.org/10.23919/JSC.2023.0027","url":null,"abstract":"Frequent price manipulation in the Bitcoin market will lead to market risk and seriously disrupt the financial order, but there is less research on its regulation. We address the Bitcoin price manipulation problem by building a regulatory game model. First, we study the price manipulation mechanism of the Bitcoin market based on behavioral finance and clarify the boundary conditions. Second, we introduce regulator constraints and establish a game model between the manipulator and the regulator. Further, through variable deconstruction, parameter verification, and simulation analysis, we explore how to achieve effective regulation of Bitcoin price manipulation. We find that the effective regulation of Bitcoin price manipulation can be achieved in three ways: (1) Adjust the penalty coefficient with a certain lower threshold so that the manipulator's expected return is negative; (2) Set the lowest possible price fluctuation standard while ensuring that it does not interfere with market-based transactions; (3) The simulation of price manipulation regulation is optimized and most efficiently controlled when the probability of investigation is dynamically adjusted by a concave function on the price fluctuation standard.","PeriodicalId":67535,"journal":{"name":"社会计算(英文)","volume":"4 4","pages":"382-397"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Link Prediction Accuracy of Network Embedding Algorithms via Rich Node Attribute Information 通过丰富的节点属性信息提高网络嵌入算法的链接预测精度

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0018

Weiwei Gu;Jinqiang Hou;Weiyi Gu

{"title":"Improving Link Prediction Accuracy of Network Embedding Algorithms via Rich Node Attribute Information","authors":"Weiwei Gu;Jinqiang Hou;Weiyi Gu","doi":"10.23919/JSC.2023.0018","DOIUrl":"https://doi.org/10.23919/JSC.2023.0018","url":null,"abstract":"Complex networks are widely used to represent an abundance of real-world relations ranging from social networks to brain networks. Inferring missing links or predicting future ones based on the currently observed network is known as the link prediction task. Recent network embedding based link prediction algorithms have demonstrated ground-breaking performance on link prediction accuracy. Those algorithms usually apply node attributes as the initial feature input to accelerate the convergence speed during the training process. However, they do not take full advantage of node feature information. In this paper, besides applying feature attributes as the initial input, we make better utilization of node attribute information by building attributable networks and plugging attributable networks into some typical link prediction algorithms and name this algorithm Attributive Graph Enhanced Embedding (AGEE). AGEE is able to automatically learn the weighting trades-off between the structure and the attributive networks. Numerical experiments show that AGEE can improve the link prediction accuracy by around 3% compared with SEAL, Variational Graph AutoEncoder (VGAE), and node2vec.","PeriodicalId":67535,"journal":{"name":"社会计算(英文)","volume":"4 4","pages":"326-336"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attribute of Big Data Analytics Quality Affecting Business Performance 影响业务绩效的大数据分析质量属性

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0028

Sangjae Lee;Byung Gon Kim

{"title":"Attribute of Big Data Analytics Quality Affecting Business Performance","authors":"Sangjae Lee;Byung Gon Kim","doi":"10.23919/JSC.2023.0028","DOIUrl":"https://doi.org/10.23919/JSC.2023.0028","url":null,"abstract":"With an accelerating increase of business benefits produced from big data analytics (if used appropriately and intelligently by businesses in the private and public sectors), this study focused on empirically identifying the big data analytics (BDA) attributes. These attributes were classified into four groups (i.e., value innovation, social impact, precision, and completeness of BDA quality) and were found to influence the decision-making performance and business performance outcomes. A structural equation modeling analysis using 382 responses from a BDA related to practitioners indicated that the attributes of representativeness, predictability, interpretability, and innovativeness as related to value innovation greatly enhanced the decision-making confidence and effectiveness of decision makers who make decisions using big data. In addition, individuality, collectivity, and willfulness, which are related to social impact, also greatly improved the decision-making confidence and effectiveness of the same decision makers. This shows that the value innovation and social impact, which have received relatively less attention in previous studies, are the crucial attributes for BDA quality as they influence the decision-making performance. Comprehensiveness, factuality, and realism, which are linked to completeness, also have similar results. Furthermore, the higher the decision-making confidence of the decision makers who used big data was, the higher the financial performance of their companies. In addition, high decision-making confidence using big data was found to improve the nonfinancial performance metrics such as customer satisfaction and quality levels as well as product development capabilities. High decision-making effectiveness with big data was also shown to improve the nonfinancial performance metrics.","PeriodicalId":67535,"journal":{"name":"社会计算(英文)","volume":"4 4","pages":"357-381"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Message from Editors-in-Chief 主编致辞

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0030

引用次数: 0

How Facial Expressions of Recipients Influence Online Prosocial Behaviors?—Evidence from Big Data Analysis on Tencent Gongyi Platform 收件人的面部表情如何影响网络亲社会行为？--来自腾讯巩义平台大数据分析的证据

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0026

Lihan He;Tianguang Meng

引用次数: 0

AIdeal: Sentience and Ideology AIdeal：理智与意识形态

社会计算(英文) Pub Date : 2023-12-01 DOI: 10.23919/JSC.2023.0029

Daniel Estrada

{"title":"AIdeal: Sentience and Ideology","authors":"Daniel Estrada","doi":"10.23919/JSC.2023.0029","DOIUrl":"https://doi.org/10.23919/JSC.2023.0029","url":null,"abstract":"This paper addresses a set of ideological tensions involving the classification of agential kinds, which I see as the methodological and conceptual core of the sentience discourse. Specifically, I consider ideals involved in the classification of biological and artifactual kinds, and ideals related to agency, identity, and value. These ideals frame the background against which sentience in Artificial Intelligence (AI) is theorized and debated, a framework I call the AIdeal. To make this framework explicit, I review the historical discourse on sentience as it appears in ancient, early modern, and the 20th century philosophy, paying special attention to how these ideals are projected onto artificial agents. I argue that tensions among these ideals create conditions where artificial sentience is both necessary and impossible, resulting in a crisis of ideology. Moving past this crisis does not require a satisfying resolution among competing ideals, but instead requires a shift in focus to the material conditions and actual practices in which these ideals operate. Following Charles Mills, I sketch a nonideal approach to AI and artificial sentience that seeks to loosen the grip of ideology on the discourse. Specifically, I propose a notion of participation that deflates the sentience discourse in AI and shifts focus to the material conditions in which sociotechnical networks operate.","PeriodicalId":67535,"journal":{"name":"社会计算(英文)","volume":"4 4","pages":"275-325"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10412092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Message from Editors-in-Chief 主编致辞

社会计算(英文) Pub Date : 2023-09-01 DOI: 10.23919/JSC.2023.0025

James Evans;Xiaoming Fu;Jar-Der Luo

引用次数: 0

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