Group Structure and Information Distribution on the Emergence of Collective Intelligence

IF 2.5 4区 管理学 Q3 MANAGEMENT Decision Analysis Pub Date : 2023-01-10 DOI:10.1287/deca.2022.0466
Ming Tang, Huchang Liao
{"title":"Group Structure and Information Distribution on the Emergence of Collective Intelligence","authors":"Ming Tang, Huchang Liao","doi":"10.1287/deca.2022.0466","DOIUrl":null,"url":null,"abstract":"More and more decision-making problems are being solved by groups. Collective intelligence is the ability of groups to perform well when solving complex problems. Thus, it is important to encourage collective intelligence to emerge from groups. In this study, we explore how two critical characteristics of groups, that is, group structure and individual knowledge in groups, influence the emergence of collective intelligence. To do this, we propose a measure for group structure using the collaboration network of a group and a measure for the distribution of individual knowledge in groups. Group structure is measured based on the intensities of links and whether the network is hierarchical or flat. The distribution of individual knowledge is measured from the perspective of whether group information is shared or unique. Social interactions among group members and individual changes in opinion are modeled based on a simulation technique. We find that unbalanced information distribution undermines group performance, whereas group structure can modify the effect of information distribution. We also find that groups with broadly distributed knowledge are good at solving complex problems. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72171158, 71771156 and 71971145].","PeriodicalId":46460,"journal":{"name":"Decision Analysis","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Analysis","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1287/deca.2022.0466","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 1

Abstract

More and more decision-making problems are being solved by groups. Collective intelligence is the ability of groups to perform well when solving complex problems. Thus, it is important to encourage collective intelligence to emerge from groups. In this study, we explore how two critical characteristics of groups, that is, group structure and individual knowledge in groups, influence the emergence of collective intelligence. To do this, we propose a measure for group structure using the collaboration network of a group and a measure for the distribution of individual knowledge in groups. Group structure is measured based on the intensities of links and whether the network is hierarchical or flat. The distribution of individual knowledge is measured from the perspective of whether group information is shared or unique. Social interactions among group members and individual changes in opinion are modeled based on a simulation technique. We find that unbalanced information distribution undermines group performance, whereas group structure can modify the effect of information distribution. We also find that groups with broadly distributed knowledge are good at solving complex problems. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72171158, 71771156 and 71971145].
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
集体智慧产生的群体结构和信息分布
越来越多的决策问题由团体来解决。集体智慧是指群体在解决复杂问题时表现良好的能力。因此,鼓励集体智慧从群体中产生是很重要的。在本研究中,我们探讨了群体的两个关键特征,即群体结构和群体中的个人知识,如何影响集体智慧的出现。为此,我们提出了一种基于群体协作网络的群体结构度量和个体知识在群体中的分布度量。群体结构是根据链接的强度和网络是分层的还是扁平的来衡量的。个体知识的分布是从群体信息是共享的还是独特的角度来衡量的。群体成员之间的社会互动和个人意见的变化基于仿真技术建模。研究发现,不平衡的信息分布会破坏群体绩效,而群体结构会改变信息分布的效果。我们还发现,拥有广泛分布知识的团队擅长解决复杂问题。基金资助:国家自然科学基金项目[基金资助:72171158、71771156、71971145]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Decision Analysis
Decision Analysis MANAGEMENT-
CiteScore
3.10
自引率
21.10%
发文量
19
期刊最新文献
Measuring and Mitigating the Risk of Advanced Cyberattackers On the Value of Information Across Decision Problems Curbing the Opioid Crisis: Optimal Dynamic Policies for Preventive and Mitigating Interventions From the Editor: 2023 Clemen–Kleinmuntz Decision Analysis Best Paper Award A Behavioral Model of Responsible Sourcing in Supply Chains: The Role of Dual-Sourcing Bias
×
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
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1