IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0019009.html
   My bibliography  Save this article

Niche as a Determinant of Word Fate in Online Groups

Author

Listed:
  • Eduardo G Altmann
  • Janet B Pierrehumbert
  • Adilson E Motter

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.

Suggested Citation

  • Eduardo G Altmann & Janet B Pierrehumbert & Adilson E Motter, 2011. "Niche as a Determinant of Word Fate in Online Groups," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-12, May.
  • Handle: RePEc:plo:pone00:0019009
    DOI: 10.1371/journal.pone.0019009
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0019009
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0019009&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0019009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Søren Wichmann & Dietrich Stauffer & Christian Schulze & Eric W. Holman, 2008. "Do Language Change Rates Depend On Population Size?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 357-369.
    2. Eduardo G Altmann & Janet B Pierrehumbert & Adilson E Motter, 2009. "Beyond Word Frequency: Bursts, Lulls, and Scaling in the Temporal Distributions of Words," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-7, November.
    3. Nickerson, David W., 2008. "Is Voting Contagious? Evidence from Two Field Experiments," American Political Science Review, Cambridge University Press, vol. 102(1), pages 49-57, February.
    4. Qiming Lu & G. Korniss & Boleslaw Szymanski, 2009. "The Naming Game in social networks: community formation and consensus engineering," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 221-235, November.
    5. M Ángeles Serrano & Alessandro Flammini & Filippo Menczer, 2009. "Modeling Statistical Properties of Written Text," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-8, April.
    6. Mark Pagel & Quentin D. Atkinson & Andrew Meade, 2007. "Frequency of word-use predicts rates of lexical evolution throughout Indo-European history," Nature, Nature, vol. 449(7163), pages 717-720, October.
    7. Erez Lieberman & Jean-Baptiste Michel & Joe Jackson & Tina Tang & Martin A. Nowak, 2007. "Quantifying the evolutionary dynamics of language," Nature, Nature, vol. 449(7163), pages 713-716, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alberto Acerbi & Vasileios Lampos & Philip Garnett & R Alexander Bentley, 2013. "The Expression of Emotions in 20th Century Books," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-6, March.
    2. Damian Ruck & R. Alexander Bentley & Alberto Acerbi & Philip Garnett & Daniel J. Hruschka, 2017. "Role Of Neutral Evolution In Word Turnover During Centuries Of English Word Popularity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(06n07), pages 1-16, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang Xu & Min Xu & Zehua Jiang & Xin Wen & Yishan Liu & Zaoyi Sun & Hongting Li & Xiuying Qian, 2023. "How have music emotions been described in Google books? Historical trends and corpus differences," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    2. Alberto Acerbi & Vasileios Lampos & Philip Garnett & R Alexander Bentley, 2013. "The Expression of Emotions in 20th Century Books," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-6, March.
    3. Chen, Yanguang, 2012. "Zipf’s law, 1/f noise, and fractal hierarchy," Chaos, Solitons & Fractals, Elsevier, vol. 45(1), pages 63-73.
    4. Animesh Mukherjee & Francesca Tria & Andrea Baronchelli & Andrea Puglisi & Vittorio Loreto, 2011. "Aging in Language Dynamics," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-7, February.
    5. Damian Ruck & R. Alexander Bentley & Alberto Acerbi & Philip Garnett & Daniel J. Hruschka, 2017. "Role Of Neutral Evolution In Word Turnover During Centuries Of English Word Popularity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(06n07), pages 1-16, September.
    6. Cui, Xue-Mei & Yoon, Chang No & Youn, Hyejin & Lee, Sang Hoon & Jung, Jean S. & Han, Seung Kee, 2017. "Dynamic burstiness of word-occurrence and network modularity in textbook systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 103-110.
    7. Chen, Yanguang, 2012. "The mathematical relationship between Zipf’s law and the hierarchical scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3285-3299.
    8. Heng Chen & Junying Liang & Haitao Liu, 2015. "How Does Word Length Evolve in Written Chinese?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    9. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    10. Grácio, Matilde & Vicente, Pedro C., 2021. "Information, get-out-the-vote messages, and peer influence: Causal effects on political behavior in Mozambique," Journal of Development Economics, Elsevier, vol. 151(C).
    11. Finan, Frederico & Seira, Enrique & Simpser, Alberto, 2021. "Voting with one’s neighbors: Evidence from migration within Mexico," Journal of Public Economics, Elsevier, vol. 202(C).
    12. Alberto Chong & Gianmarco León‐Ciliotta & Vivian Roza & Martín Valdivia & Gabriela Vega, 2019. "Urbanization Patterns, Information Diffusion, and Female Voting in Rural Paraguay," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 323-341, April.
    13. Vincenzo Galasso & Tommaso Nannicini, 2016. "Persuasion and Gender: Experimental Evidence from Two Political Campaigns," CESifo Working Paper Series 5868, CESifo.
    14. Carolin V. Zorell, 2020. "Nudges, Norms, or Just Contagion? A Theory on Influences on the Practice of (Non-)Sustainable Behavior," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    15. Anna M. Wilke & Donald P. Green & Jasper Cooper, 2020. "A placebo design to detect spillovers from an education–entertainment experiment in Uganda," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1075-1096, June.
    16. Galasso, Vincenzo & Nannicini, Tommaso, 2013. "Men Vote in Mars, Women Vote in Venus: A Survey Experiment in the Field," CEPR Discussion Papers 9547, C.E.P.R. Discussion Papers.
    17. Barton, Jared & Pan, Xiaofei, 2022. "Movin’ on up? A survey experiment on mobility enhancing policies," European Journal of Political Economy, Elsevier, vol. 74(C).
    18. Mariella Gonzales & Gianmarco León-Ciliotta & Luis R. Martínez, 2022. "How Effective Are Monetary Incentives to Vote? Evidence from a Nationwide Policy," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 293-326, January.
    19. Dustin S. Stoltz & Marshall A. Taylor, 2019. "Concept Mover’s Distance: measuring concept engagement via word embeddings in texts," Journal of Computational Social Science, Springer, vol. 2(2), pages 293-313, July.
    20. Fosco, Constanza & Laruelle, Annick & Sánchez, Angel, 2009. "Turnout Intention and Social Networks," IKERLANAK info:eu-repo/grantAgreeme, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0019009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.