Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Hierarchical structures induce long-range dynamical correlations in written texts.

E Alvarez-Lacalle1, B Dorow, J-P Eckmann

  • 1Department of Physics of Complex Systems and Albert Einstein Minerva Center for Theoretical Physics, The Weizmann Institute of Science, Rehovot 76100, Israel.

Proceedings of the National Academy of Sciences of the United States of America
|May 16, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Country-report pattern corrections of new cases allow accurate 2-week predictions of COVID-19 evolution with the Gompertz model.

Scientific reports·2024
Same author

Achievement of Target Gain Larger than Unity in an Inertial Fusion Experiment.

Physical review letters·2024
Same author

Lawson Criterion for Ignition Exceeded in an Inertial Fusion Experiment.

Physical review letters·2022
Same author

Dengue in parts of the Guinea Savannah region of Nigeria and the risk of increased transmission.

International health·2020
Same author

Hierarchy measurement for modeling network dynamics under directed attacks.

Physical review. E·2018
Same author

OS046. Genome-wide association scans identify novel maternalsusceptibility loci for preeclampsia.

Pregnancy hypertension·2015
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Textual hierarchy creates long-range correlations, enabling readers to recall multidimensional thoughts. This study explores concept spaces and attention vectors to understand memory in language processing.

Area of Science:

  • Computational linguistics
  • Cognitive science
  • Information theory

Background:

  • Human thoughts are complex and multidimensional, yet language expresses them sequentially.
  • Sequential expression requires memory and word correlations, but traditional methods show limited insight into long-range semantic context.

Purpose of the Study:

  • To investigate how textual structures create long-range correlations.
  • To understand the role of reader memory in processing multidimensional ideas within sequential text.

Main Methods:

  • Defining a vector space of word combinations within a reader's attention window (approx. 100 words).
  • Analyzing the co-occurrence matrix using Singular Value Decomposition (SVD) to identify topic vectors (concepts).
  • Tracking the 'vector of attention' trajectory in concept space and analyzing correlations over time.

Related Experiment Videos

Main Results:

  • Reader attention vectors exhibit power-law correlations, indicating long-term memory.
  • Textual hierarchy (volumes, chapters, paragraphs) successfully replicates these correlations in surrogate texts.
  • Hierarchical structures are identified as key to generating long-range correlations in text.

Conclusions:

  • Hierarchical organization in text is crucial for establishing long-range correlations.
  • Reader memory utilizes these structures to reconstruct the multidimensionality of expressed thoughts.
  • This model provides insight into how sequential language processing retains complex semantic information.