• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

弱关系在新颖信息传播方面的劣势。

The weakness of weak ties for novel information diffusion.

作者信息

Larson Jennifer M

机构信息

New York University, Department of Politics, 19 W. 4th St., New York, 10012 NY USA.

出版信息

Appl Netw Sci. 2017;2(1):14. doi: 10.1007/s41109-017-0034-3. Epub 2017 Jun 19.

DOI:10.1007/s41109-017-0034-3
PMID:30443569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6214243/
Abstract

Weak ties are thought to facilitate the diffusion of information through social networks because of their tendency to span otherwise distant subgroups. However, this logic assumes that weak relationships have the same capacity to transmit information as those that are strong. I argue that weak ties, especially the kind that span subgroups, are often also lower-capacity. Due to a lack of trust, an unwillingness to share benefits, or a limited ability to understand one another, an individual is less likely to share novel information across these ties. In standard models of diffusion imported from epidemiology, even reduced-capacity links would still aid diffusion. However, accounting for reduced capacity in a new model of diffusion that captures realistic features of information sharing in human groups, I demonstrate that hesitation to share across weak links substantially impedes overall diffusion. Moreover, I show that the addition of weak ties to a social network can strictly reduce the extent and speed of information diffusion. Increasing density by adding weak ties can make diffusion strictly worse by crowding out the use of higher-capacity ties. I present the results of simulated information diffusion on both hypothetical networks generated to possess varying levels of density and homophily, as well as on real social networks in two Ugandan villages shown to be responsible for face-to-face information sharing.

摘要

弱关系被认为有助于信息在社交网络中传播,因为它们往往跨越原本距离较远的子群体。然而,这种逻辑假定弱关系与强关系具有相同的信息传播能力。我认为,弱关系,尤其是跨越子群体的那种,其传播能力通常也较低。由于缺乏信任、不愿分享利益或相互理解能力有限,个体不太可能通过这些关系分享新颖信息。在从流行病学引入的标准传播模型中,即使传播能力降低的连接仍会有助于传播。然而,在一个捕捉人类群体信息共享现实特征的新传播模型中考虑到传播能力降低的情况后,我证明了在弱连接上分享信息的犹豫会严重阻碍整体传播。此外,我表明在社交网络中添加弱关系会严格降低信息传播的范围和速度。通过添加弱关系来增加网络密度可能会排挤使用传播能力更高的连接,从而使传播变得更糟。我展示了在为具有不同密度和同质性水平而生成的假设网络上,以及在乌干达两个被证明负责面对面信息共享的村庄的真实社交网络上进行的模拟信息传播结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/ac0683a2e44f/41109_2017_34_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/786f566cba74/41109_2017_34_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/c5fb19f89d37/41109_2017_34_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/a1a1b7f3edda/41109_2017_34_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/4f123f8ba96b/41109_2017_34_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/ac0683a2e44f/41109_2017_34_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/786f566cba74/41109_2017_34_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/c5fb19f89d37/41109_2017_34_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/a1a1b7f3edda/41109_2017_34_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/4f123f8ba96b/41109_2017_34_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/6214243/ac0683a2e44f/41109_2017_34_Fig5_HTML.jpg

相似文献

1
The weakness of weak ties for novel information diffusion.弱关系在新颖信息传播方面的劣势。
Appl Netw Sci. 2017;2(1):14. doi: 10.1007/s41109-017-0034-3. Epub 2017 Jun 19.
2
Weak ties: subtle role of information diffusion in online social networks.弱关系:在线社交网络中信息传播的微妙作用。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jul;82(1 Pt 2):016105. doi: 10.1103/PhysRevE.82.016105. Epub 2010 Jul 6.
3
Worth the Weight: Conceptualizing and Measuring Strong Versus Weak Tie Homophily.物有所值:界定与衡量强关系同质性与弱关系同质性
Soc Networks. 2022 Jan;68:139-147. doi: 10.1016/j.socnet.2021.06.003. Epub 2021 Jun 17.
4
Strong and weak tie homophily in adolescent friendship networks: An analysis of same-race and same-gender ties.青少年友谊网络中的强弱关系同质性:对同种族和同性别关系的分析。
Netw Sci (Camb Univ Press). 2022 Sep;10(3):283-300. doi: 10.1017/nws.2022.24. Epub 2022 Sep 14.
5
Communication ties across the national network of local health departments.沟通联系遍布于全国范围的地方卫生部门网络。
Am J Prev Med. 2013 Mar;44(3):247-53. doi: 10.1016/j.amepre.2012.10.028.
6
Strength matters: Tie strength as a causal driver of networks' information benefits.强度很重要:连接强度作为网络信息效益的因果驱动因素。
Soc Sci Res. 2017 Jul;65:268-281. doi: 10.1016/j.ssresearch.2016.11.003. Epub 2016 Nov 15.
7
The structure and function of antagonistic ties in village social networks.农村社会网络中对抗性关系的结构与功能。
Proc Natl Acad Sci U S A. 2024 Jun 25;121(26):e2401257121. doi: 10.1073/pnas.2401257121. Epub 2024 Jun 18.
8
Time varying networks and the weakness of strong ties.时变网络与强关系的弱点。
Sci Rep. 2014 Feb 10;4:4001. doi: 10.1038/srep04001.
9
Venue-Mediated Weak Ties in Multiplex HIV Transmission Risk Networks Among Drug-Using Male Sex Workers and Associates.吸毒男同性恋性工作者及其同伴多元艾滋病毒传播风险网络中场所介导的弱关系
Am J Public Health. 2015 Jun;105(6):1128-35. doi: 10.2105/AJPH.2014.302474. Epub 2015 Apr 16.
10
Size Matters: Digital Social Networks and Language Change.规模很重要:数字社交网络与语言变化。
Front Artif Intell. 2020 Jul 2;3:46. doi: 10.3389/frai.2020.00046. eCollection 2020.

引用本文的文献

1
Efficient team structures in an open-ended cooperative creativity experiment.开放式合作创意实验中的高效团队结构。
Proc Natl Acad Sci U S A. 2019 Oct 29;116(44):22088-22093. doi: 10.1073/pnas.1909827116. Epub 2019 Oct 14.
2
Variations in power of opinion leaders in online communication networks.在线交流网络中意见领袖影响力的差异。
R Soc Open Sci. 2018 Oct 17;5(10):180642. doi: 10.1098/rsos.180642. eCollection 2018 Oct.

本文引用的文献

1
Optimal network modularity for information diffusion.信息扩散的最优网络模块化
Phys Rev Lett. 2014 Aug 22;113(8):088701. doi: 10.1103/PhysRevLett.113.088701. Epub 2014 Aug 18.
2
The diffusion of microfinance.小额信贷的传播。
Science. 2013 Jul 26;341(6144):1236498. doi: 10.1126/science.1236498.
3
The spread of behavior in an online social network experiment.在线社交网络实验中的行为传播。
Science. 2010 Sep 3;329(5996):1194-7. doi: 10.1126/science.1185231.
4
A simple model of global cascades on random networks.随机网络上的全局级联的一个简单模型。
Proc Natl Acad Sci U S A. 2002 Apr 30;99(9):5766-71. doi: 10.1073/pnas.082090499.
5
A generalized model of social and biological contagion.社会与生物传染的广义模型。
J Theor Biol. 2005 Feb 21;232(4):587-604. doi: 10.1016/j.jtbi.2004.09.006.
6
Universal behavior in a generalized model of contagion.传染广义模型中的普遍行为。
Phys Rev Lett. 2004 May 28;92(21):218701. doi: 10.1103/PhysRevLett.92.218701. Epub 2004 May 24.
7
Spread of epidemic disease on networks.传染病在网络上的传播。
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Jul;66(1 Pt 2):016128. doi: 10.1103/PhysRevE.66.016128. Epub 2002 Jul 26.
8
Epidemic spreading in scale-free networks.无标度网络中的流行病传播。
Phys Rev Lett. 2001 Apr 2;86(14):3200-3. doi: 10.1103/PhysRevLett.86.3200.