Glassy nature of hierarchical organizations

@article{Zamani2017GlassyNO,
  title={Glassy nature of hierarchical organizations},
  author={Maryam Zamani and Tam{\'a}s Vicsek},
  journal={Scientific Reports},
  year={2017},
  volume={7}
}
The question of why and how animal and human groups form temporarily stable hierarchical organizations has long been a great challenge from the point of quantitative interpretations. The prevailing observation/consensus is that a hierarchical social or technological structure is optimal considering a variety of aspects. Here we introduce a simple quantitative interpretation of this situation using a statistical mechanics-type approach. We look for the optimum of the efficiency function $${E}_… 
View on Springer
nature.com
14 Citations
Background Citations
8
Methods Citations
1

14 Citations

Stability of glassy hierarchical networks

This work investigates the stability of hierarchical networks that emerge from the simulations of an organization type with an efficiency function reminiscent of the Hamiltonian of spin glasses.

Emergence of Leader-Follower Hierarchy Among Players in an On-Line Experiment

  • Bálint J. TóthG. Palla T. Vicsek
  • Computer Science
    2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  • 2018
It is indicated that under certain conditions imitation and limited knowledge about the performance of other actors is sufficient for the emergence of hierarchy in a social group.

Heterogeneity promotes criticality on flocking systems

A study of bands stability reveals that no band can form in this variation of the Vicsek model with vectorial noise where each one of the agents have their own noise amplitude normally distributed around a mean value, $\mu$, with standard deviation $\sigma$.

Heterogeneity promotes first to second order phase transition on flocking systems

A variation of the Vicsek model with vectorial noise where each one of the agents have their own noise amplitude normally distributed around a mean value, $\mu$, with standard deviation $\sigma$ is considered, inspired by biological facts.

Inflating the social aspects of cognitive structural realism

  • M. D. Beni
  • Philosophy
    European Journal for Philosophy of Science
  • 2021
Inspired by Ronald Giere’s (1989, 1992) cognitive approach to scientific models, Cognitive Structural Realism (CSR) has presented a naturalist account of scientific representation (Beni, 2019a). CSR…

Differences in structure and dynamics of networks retrieved from dark and public web forums

The emergence of epistemic communities in the ‘Sphaera’ corpus : mechanisms of knowledge evolution

The present work investigates the process of emergence of new epistemic communities based on semantic, content-related data extracted from a corpus of 359 printed editions, mainly of textbooks used to teach cosmology at European universities between 1472 and 1650 and identifies an epistemic community that represents continuity with the medieval tradition.

Time evolution of the hierarchical networks between PubMed MeSH terms

The time evolution of the network between the Medical Subject Headings (MeSH) provided by the National Center for Biotechnology Information is examined, with a special focus on the attachment and detachment mechanisms of the links, and a few general features that are characteristic for all MeSH hierarchies are found.

Robustness quantification of hierarchical complex networks under targeted failures

Characterization of network hierarchy reflects cell-state specificity in genome organization

The findings uncover the cell-state related hierarchical characteristics in chromatin structure, which reveal chromatin loci that play important roles in stabilizing the cellular conditions.

References

SHOWING 1-10 OF 29 REFERENCES

Hierarchical Self-Organization of Non-Cooperating Individuals

This work introduces an approach which is capable of reproducing the emergence of a multi-levelled network structure based on the plausible assumption that the individuals (representing the nodes of the network) can make the right estimate about the state of their changing environment to a varying degree.

Hierarchy Measure for Complex Networks

This work develops an approach and proposes a quantity (measure) which is simple enough to be widely applicable, reveals a number of universal features of the organization of real-world networks and is capable of capturing the essential Features of the structure and the degree of hierarchy in a complex network.

The Evolutionary Origins of Hierarchy

The results suggest that the same force–the cost of connections–promotes the evolution of both hierarchy and modularity, and that these properties are important drivers of network performance and adaptability.

On the origins of hierarchy in complex networks

A formal approach resulting from the convergence of theoretical morphology and network theory that allows constructing a 3D morphospace of hierarchies and hence comparing the hierarchical organization of ecological, cellular, technological, and social networks is presented.

Detecting Evolving Patterns of Self-Organizing Networks by Flow Hierarchy Measurement

It is shown that the ecological, neurobiological, economic, and information processing networks are generally more hierarchical than their comparable random networks and the hierarchy degree has increased over the course of the evolution of Linux kernels.

Evolution of complex hierarchical societies

This paper reviews theoretical approaches to resolving the how and why of the transition from small-scale, ‘simple’ societies to large- scale, hierarchically complex ones and investigates the implications of selection imposed by intergroup conflict.

Hierarchical group dynamics in pigeon flocks

The results suggest that hierarchical organization of group flight may be more efficient than an egalitarian one, at least for those flock sizes that permit regular pairwise interactions among group members, during which leader–follower relationships are consistently manifested.

Hierarchy and Dynamics of Neural Networks

This work has shown an increasing interest in the subject of hierarchy in neuroscience, as well as generally in the field of network science, due to its links with concepts of control, efficiency, and development across scales.

Rational Instability in the Natural Coalition Forming

Evolutionary prisoner's dilemma game on hierarchical lattices.

  • J. VukovG. Szabó
  • Physics
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2005
An evolutionary prisoner's dilemma (PD) game is studied with players located on a hierarchical structure of layered square lattices to study how the measure of cooperation is affected by the number of hierarchical levels (Q) and by the temptation to defect.