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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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In social interactions, individuals frequently seek to understand the motivations and causes behind others' behaviors. This fundamental aspect of social perception, known as attribution, plays a crucial role in shaping interpersonal relationships and guiding future actions. Attribution refers to the cognitive process through which people infer the reasons behind others' behaviors, allowing them to assess character traits, intentions, and situational influences.Attribution Theory and Its...
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Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
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Plants have a life cycle split between two multicellular stages: a haploid stage—with cells containing one set of chromosomes—and a diploid stage—with cells containing two sets of chromosomes. The haploid stage is the gamete-producing gametophyte, and the diploid stage is the spore-producing sporophyte.
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Related Experiment Video

Updated: Feb 12, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Authorship attribution based on Life-Like Network Automata.

Jeaneth Machicao1, Edilson A Corrêa2, Gisele H B Miranda2

  • 1Scientific Computing Group, São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, São Paulo, Brazil.

Plos One
|March 23, 2018
PubMed
Summary

Authorship attribution is enhanced by a novel text network analysis. This method combines topological and dynamical network features, outperforming traditional methods for document authorship recognition.

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Area of Science:

  • Computational linguistics
  • Network science
  • Digital humanities

Background:

  • Authorship attribution is crucial for document verification.
  • Traditional methods like word counts are effective but manipulable.
  • Text network models offer new avenues for authorship recognition.

Purpose of the Study:

  • To develop a novel method for text network characterization.
  • To improve authorship attribution accuracy by integrating network dynamics.
  • To address the lack of consensus on network measurements for text analysis.

Main Methods:

  • Textual data modeled as networks with words as nodes.
  • Integration of topological and dynamical network properties.
  • Application of cellular automata theory for spatio-temporal pattern extraction.

Main Results:

  • The proposed method significantly outperforms analyses based solely on topological measurements.
  • Identified informative spatio-temporal patterns for authorship recognition.
  • Demonstrated superior performance compared to methods using clustering coefficient, betweenness, and shortest paths.

Conclusions:

  • The novel approach provides a more robust characterization of textual networks.
  • Combining topological and dynamical aspects enhances authorship attribution.
  • This work offers a pathway for improved textual network analysis and authorship recognition.