发布求助
文献互助 智能选刊 最新文献

Opportunities and Challenges for Computational Social Science Methods最新文献

筛选
英文 中文
Generating Big Data in (Micro)Economics 在(微观)经济学中产生大数据
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch006
Y. Aydogan
{"title":"Generating Big Data in (Micro)Economics","authors":"Y. Aydogan","doi":"10.4018/978-1-7998-8553-5.ch006","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch006","url":null,"abstract":"One can expect the economics profession to gravitate towards microeconomics after the big data revolution is completed. The term big data refers to unconventionally large data streams from many sources to a bunch of (not necessarily known) recipients. Relying on aggregate relations by disregarding underlying dynamics is a suboptimal when the micro data is available. Via an international organization, all costs could be decreased, and gains could be increased with global optimization of the big data just like the International Space Station (ISS). Big data is a completely new way of practice, and it must develop its own ethical standards. A few economies such as Turkey can be pioneers in terms of big data utilization in economic research if necessary technical, practical, and legal steps are taken.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"13 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":"128028218","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
Incorporating Computational Social Science in Political Science 将计算社会科学纳入政治学
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch002
Başak Taraktaş
{"title":"Incorporating Computational Social Science in Political Science","authors":"Başak Taraktaş","doi":"10.4018/978-1-7998-8553-5.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch002","url":null,"abstract":"This chapter discusses the challenges and opportunities of incorporating computational social science (CSS) into political science. Using an original dataset of quantitative methods courses offered at the top-40 schools, this study shows that CSS courses are currently underrepresented, but their number is likely to augment because of the competition among schools. Yet, this trend is likely to stay confined to North American and Western European schools. Also, collaboration in CSS requires reconciling research priorities in engineering and physics (prediction) and in political science (explanation). Regarding research, big data does not mitigate concerns about causation and representativeness. But simulations allow studying rare phenomena and phenomena for which experiments are not appropriate. By running thousands of experiments at various combinations of explanatory variables, simulations explore counterfactuals, assess the explanatory power of competing theories, and make forecasts.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"25 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":"121050699","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
Opinion Mining in Sociopolitical Research 社会政治研究中的意见挖掘
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch003
Israel Barrutia Barreto, R. A. Seminario Córdova, Mirella Rosa Gavidia Canaquiri, Victor Raul Ruiz Nunura
{"title":"Opinion Mining in Sociopolitical Research","authors":"Israel Barrutia Barreto, R. A. Seminario Córdova, Mirella Rosa Gavidia Canaquiri, Victor Raul Ruiz Nunura","doi":"10.4018/978-1-7998-8553-5.ch003","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch003","url":null,"abstract":"The objective of this study was to explore the potential of the opinion mining methodology in sociopolitical research, its techniques, and applications from the field of reflexivity. It is a non-experimental and exploratory study. It concludes that advances in the field of artificial intelligence have provided the sociopolitical sciences with tools that make it possible to approach the dominant trends of opinion in society during specific junctures where decision-making and/or the positioning of an idea, public policy, or social project can be measured in real-time, with broad demographic scopes that can be segmented, bringing the researcher closer to the subject of study with minimum levels of bias. Opinion mining research continues to be dominated by electoral and marketing topics; however, there are potentialities in the research of public policies, social programs, democracy, and governance that are still waiting for the application of opinion mining as a sociopolitical research methodology.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"134 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":"116341158","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
Breaking Social Network Analysis in Organizational and Interpersonal Communication 组织与人际沟通中的打破社会网络分析
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch004
Caroline Kiarie, N. Jones
{"title":"Breaking Social Network Analysis in Organizational and Interpersonal Communication","authors":"Caroline Kiarie, N. Jones","doi":"10.4018/978-1-7998-8553-5.ch004","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch004","url":null,"abstract":"Often we hear that human beings are social creatures who interact with one another. In organizations, employees communicate with one another using both formal and informal networks, but top management are unable to observe and manage these networks. This chapter addresses how social network analysis theory and computational social science can be combined to visualize and map out the relationship structures. The chapter seeks to address how the theory, which is commonly associated with mathematics and sociology disciplines can be used in communication since the research is hardly visible. It breaks down some aspects of the theory and describes another two theories that have developed from it. Finally, for illustration, the chapter applied R Studio software to compute the social structures within a media organization and help realize the benefit of theory in knowledge sharing and employee synergy.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"76 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":"133027802","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
The Flow of Influence From Two-Step to Network Perspectives 从两步到网络视角的影响力流动
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch008
Enes Abanoz
{"title":"The Flow of Influence From Two-Step to Network Perspectives","authors":"Enes Abanoz","doi":"10.4018/978-1-7998-8553-5.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch008","url":null,"abstract":"The two-step flow of communication by Paul Lazarsfeld and Elihu Katz is one of the curial theories in the communication science field. The theory focused on the mass media message flow in society and showed that message flowed from opinion leaders to other individuals. Although the study is a groundbreaking masterpiece in its time, significant developments in the mathematical models of contagion theory, simulation technique, empirical data, and digital technologies necessitate a revision of the theory. This chapter focuses on how computational methods can apply to the two-step flow of communication theory and how computational approaches can handle the less valued or non-evaluable dimensions.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"132 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":"134125856","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
The Virtual Persona Triad 虚拟角色三合一
Opportunities and Challenges for Computational Social Science Methods Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8553-5.ch007
A. C. E. S. Lima, L. N. de Castro
{"title":"The Virtual Persona Triad","authors":"A. C. E. S. Lima, L. N. de Castro","doi":"10.4018/978-1-7998-8553-5.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-8553-5.ch007","url":null,"abstract":"Each person projects behavioral patterns through actions. Even in a virtual environment we express our way of seeing, feeling, and reacting to the world. The analysis of the data generated allows the identification of pattern behaviors associated with users. Therefore, it is possible to obtain a better understanding of the user, the image he/she decided to express, and how he/she behaves in social media, which we name here the virtual persona. Machine learning techniques make it possible to develop a framework that allows to infer psychological and behavioral aspects of the virtual persona. The goal of this chapter is to introduce the virtual persona concept as a mechanism to understand social media users. Emphasis is given to the self-presentation of virtual persona, the perception of physical persona over virtual persona, and the description of three computational frameworks to study virtual persona, what we call here the virtual persona triad.","PeriodicalId":249237,"journal":{"name":"Opportunities and Challenges for Computational Social Science Methods","volume":"15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113942299","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书