• 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

利基:在线群体中单词命运的决定因素。

Niche as a determinant of word fate in online groups.

机构信息

Northwestern Institute on Complex Systems, Northwestern University, Evanston, Illinois, United States of America.

出版信息

PLoS One. 2011 May 12;6(5):e19009. doi: 10.1371/journal.pone.0019009.

DOI:10.1371/journal.pone.0019009
PMID:21589910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3093376/
Abstract

Patterns of word use both reflect and influence a myriad of human activities and interactions. Like other entities that are reproduced and evolve, words rise or decline depending upon a complex interplay between their intrinsic properties and the environments in which they function. Using Internet discussion communities as model systems, we define the concept of a word niche as the relationship between the word and the characteristic features of the environments in which it is used. We develop a method to quantify two important aspects of the size of the word niche: the range of individuals using the word and the range of topics it is used to discuss. Controlling for word frequency, we show that these aspects of the word niche are strong determinants of changes in word frequency. Previous studies have already indicated that word frequency itself is a correlate of word success at historical time scales. Our analysis of changes in word frequencies over time reveals that the relative sizes of word niches are far more important than word frequencies in the dynamics of the entire vocabulary at shorter time scales, as the language adapts to new concepts and social groupings. We also distinguish endogenous versus exogenous factors as additional contributors to the fates of words, and demonstrate the force of this distinction in the rise of novel words. Our results indicate that short-term nonstationarity in word statistics is strongly driven by individual proclivities, including inclinations to provide novel information and to project a distinctive social identity.

摘要

词汇的使用模式既反映又影响着人类的各种活动和互动。像其他被复制和进化的实体一样,词汇的兴衰取决于其内在特性和功能环境之间的复杂相互作用。我们使用互联网讨论社区作为模型系统,将词汇生态位的概念定义为词汇与其使用环境的特征之间的关系。我们开发了一种方法来量化词汇生态位大小的两个重要方面:使用该词汇的个体的范围和它用于讨论的主题的范围。在控制词汇频率的情况下,我们表明,词汇生态位的这两个方面是词汇频率变化的重要决定因素。先前的研究已经表明,词汇频率本身是词汇在历史时间尺度上成功的一个相关因素。我们对词汇频率随时间变化的分析表明,在较短的时间尺度上,词汇生态位的相对大小比词汇频率在整个词汇的动态中更为重要,因为语言在适应新概念和新的社会群体时会发生变化。我们还将内源性和外源性因素区分开来,作为词汇命运的额外贡献因素,并在新词的兴起中证明了这种区别的力量。我们的研究结果表明,词汇统计数据的短期非平稳性主要是由个体倾向驱动的,包括提供新颖信息和投射独特社会身份的倾向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/a039846fe1a0/pone.0019009.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/aa5376343fc8/pone.0019009.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/ad1ec6712034/pone.0019009.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/7606c8ca0f05/pone.0019009.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/b92a76e2e849/pone.0019009.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/f6b157b00c59/pone.0019009.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/81969c82a14a/pone.0019009.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/d2e5ed8f90c9/pone.0019009.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/a039846fe1a0/pone.0019009.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/aa5376343fc8/pone.0019009.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/ad1ec6712034/pone.0019009.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/7606c8ca0f05/pone.0019009.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/b92a76e2e849/pone.0019009.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/f6b157b00c59/pone.0019009.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/81969c82a14a/pone.0019009.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/d2e5ed8f90c9/pone.0019009.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/3093376/a039846fe1a0/pone.0019009.g008.jpg

相似文献

1
Niche as a determinant of word fate in online groups.利基:在线群体中单词命运的决定因素。
PLoS One. 2011 May 12;6(5):e19009. doi: 10.1371/journal.pone.0019009.
2
The natural selection of words: Finding the features of fitness.自然选择的词汇:寻找适应性特征。
PLoS One. 2019 Jan 28;14(1):e0211512. doi: 10.1371/journal.pone.0211512. eCollection 2019.
3
Strategies for searching medical natural language text. Distribution of words in the anatomic diagnoses of 7000 autopsy subjects.搜索医学自然语言文本的策略。7000例尸检对象解剖诊断中的词汇分布。
Am J Pathol. 1984 Apr;115(1):36-41.
4
Word knowledge in the crowd: Measuring vocabulary size and word prevalence in a massive online experiment.群体中的词汇知识:在一项大规模在线实验中测量词汇量和词汇流行度
Q J Exp Psychol (Hove). 2015;68(8):1665-92. doi: 10.1080/17470218.2015.1022560. Epub 2015 Apr 8.
5
Detecting causality from online psychiatric texts using inter-sentential language patterns.使用句子间语言模式从在线精神科文本中检测因果关系。
BMC Med Inform Decis Mak. 2012 Jul 18;12:72. doi: 10.1186/1472-6947-12-72.
6
Synonym-based word frequency analysis to support the development and presentation of a public health quality improvement taxonomy in an online exchange.基于同义词的词频分析,以支持在线交流中公共卫生质量改进分类法的开发和展示。
Stud Health Technol Inform. 2013;192:1128.
7
Adding part-of-speech information to the SUBTLEX-US word frequencies.为 SUBTLEX-US 词频添加词性信息。
Behav Res Methods. 2012 Dec;44(4):991-7. doi: 10.3758/s13428-012-0190-4.
8
How humans transmit language: horizontal transmission matches word frequencies among peers on Twitter.人类如何传递语言:横向传播匹配了 Twitter 上同龄人间的单词频率。
J R Soc Interface. 2018 Feb;15(139). doi: 10.1098/rsif.2017.0738.
9
Frequency of word-use predicts rates of lexical evolution throughout Indo-European history.词汇使用频率预测了整个印欧语系历史中的词汇演变速度。
Nature. 2007 Oct 11;449(7163):717-20. doi: 10.1038/nature06176.
10
Early lexical development in German: a study on vocabulary growth and vocabulary composition during the second and third year of life.德语早期词汇发展:一项关于生命第二年和第三年词汇增长及词汇构成的研究。
J Child Lang. 2002 Nov;29(4):735-57. doi: 10.1017/s0305000902005330.

引用本文的文献

1
Dissemination Dynamics of Receding Words: A Diachronic Case Study of .渐隐词的传播动态:一项关于……的历时性案例研究
Front Artif Intell. 2021 Jun 29;4:654154. doi: 10.3389/frai.2021.654154. eCollection 2021.
2
Neologisms are epidemic: Modeling the life cycle of neologisms in China 2008-2016.新词的出现呈流行趋势:对 2008-2016 年中国新词生命周期的建模分析。
PLoS One. 2021 Feb 3;16(2):e0245984. doi: 10.1371/journal.pone.0245984. eCollection 2021.
3
Compression in cultural evolution: Homogeneity and structure in the emergence and evolution of a large-scale online collaborative art project.

本文引用的文献

1
On the Measurement of Niche Breadth and Overlap.论生态位宽度与重叠的测量
Ecology. 1971 Jul;52(4):567-576. doi: 10.2307/1934144.
2
Learning times for large lexicons through cross-situational learning.通过情境学习学习大型词汇表的时间。
Cogn Sci. 2010 May;34(4):620-42. doi: 10.1111/j.1551-6709.2009.01089.x. Epub 2010 Jan 21.
3
Quantitative analysis of culture using millions of digitized books.利用数百万本数字化书籍进行文化的定量分析。
文化进化中的压缩:大规模在线协作艺术项目的出现和演变中的同质性和结构。
PLoS One. 2018 Sep 5;13(9):e0202019. doi: 10.1371/journal.pone.0202019. eCollection 2018.
4
A network approach to topic models.一种用于主题模型的网络方法。
Sci Adv. 2018 Jul 18;4(7):eaaq1360. doi: 10.1126/sciadv.aaq1360. eCollection 2018 Jul.
5
Social Salience Discriminates Learnability of Contextual Cues in an Artificial Language.社会显著性区分人工语言中情境线索的可学习性。
Front Psychol. 2017 Jan 30;8:51. doi: 10.3389/fpsyg.2017.00051. eCollection 2017.
6
Predictability of extreme events in social media.社交媒体中极端事件的可预测性。
PLoS One. 2014 Nov 4;9(11):e111506. doi: 10.1371/journal.pone.0111506. eCollection 2014.
7
Zipf's word frequency law in natural language: a critical review and future directions.自然语言中的齐普夫词频定律:批判性综述与未来方向
Psychon Bull Rev. 2014 Oct;21(5):1112-30. doi: 10.3758/s13423-014-0585-6.
8
The expression of emotions in 20th century books.20 世纪书籍中的情感表达。
PLoS One. 2013;8(3):e59030. doi: 10.1371/journal.pone.0059030. Epub 2013 Mar 20.
9
Languages cool as they expand: allometric scaling and the decreasing need for new words.语言随着扩展而变得更加酷:异速生长和对新词的需求减少。
Sci Rep. 2012;2:943. doi: 10.1038/srep00943. Epub 2012 Dec 10.
10
A practical approach to language complexity: a Wikipedia case study.一种实用的语言复杂度研究方法:以维基百科为例
PLoS One. 2012;7(11):e48386. doi: 10.1371/journal.pone.0048386. Epub 2012 Nov 7.
Science. 2011 Jan 14;331(6014):176-82. doi: 10.1126/science.1199644. Epub 2010 Dec 16.
4
Diversity, competition, extinction: the ecophysics of language change.多样性、竞争、灭绝:语言变化的生态物理学。
J R Soc Interface. 2010 Dec 6;7(53):1647-64. doi: 10.1098/rsif.2010.0110. Epub 2010 Jun 30.
5
Modeling the emergence of universality in color naming patterns.建模颜色命名模式普遍性的出现。
Proc Natl Acad Sci U S A. 2010 Feb 9;107(6):2403-7. doi: 10.1073/pnas.0908533107. Epub 2010 Jan 25.
6
Language structure is partly determined by social structure.语言结构在一定程度上由社会结构决定。
PLoS One. 2010 Jan 20;5(1):e8559. doi: 10.1371/journal.pone.0008559.
7
A complementary systems account of word learning: neural and behavioural evidence.一种互补的系统论词汇学习观点:神经和行为证据。
Philos Trans R Soc Lond B Biol Sci. 2009 Dec 27;364(1536):3773-800. doi: 10.1098/rstb.2009.0111.
8
Beyond word frequency: bursts, lulls, and scaling in the temporal distributions of words.超越词频:词的时间分布中的爆发、沉寂和标度。
PLoS One. 2009 Nov 11;4(11):e7678. doi: 10.1371/journal.pone.0007678.
9
Building social cognitive models of language change.构建语言变化的社会认知模型。
Trends Cogn Sci. 2009 Nov;13(11):464-9. doi: 10.1016/j.tics.2009.08.008. Epub 2009 Oct 6.
10
Collective dynamics of social annotation.社会注释的集体动态
Proc Natl Acad Sci U S A. 2009 Jun 30;106(26):10511-5. doi: 10.1073/pnas.0901136106. Epub 2009 Jun 8.