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Related Experiment Video

Updated: Nov 10, 2025

Stepwise Cell Seeding on Tessellated Scaffolds to Study Sprouting Blood Vessels
07:49

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Published on: January 14, 2021

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Sequential seeding in multilayer networks.

Piotr Bródka1, Jarosław Jankowski2, Radosław Michalski1

  • 1Department of Computational Intelligence, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, Wrocław 50-370, Poland.

Chaos (Woodbury, N.Y.)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Sequential seeding in multilayer networks enhances influence spread, increasing coverage and saving costs. This method, applied to complex social systems, optimizes initiator selection for maximum impact.

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Last Updated: Nov 10, 2025

Stepwise Cell Seeding on Tessellated Scaffolds to Study Sprouting Blood Vessels
07:49

Stepwise Cell Seeding on Tessellated Scaffolds to Study Sprouting Blood Vessels

Published on: January 14, 2021

3.7K

Area of Science:

  • Network Science
  • Computational Social Science
  • Information Science

Background:

  • Multilayer networks represent complex systems with diverse interactions (social, biological, etc.).
  • Modeling processes like influence spread on these networks provides valuable insights.
  • Identifying optimal initial spreaders (seeds) is crucial for maximizing influence.

Purpose of the Study:

  • To develop and evaluate a sequential seeding technique specifically for multilayer networks.
  • To compare the performance of this new technique against traditional methods on single-layer networks.
  • To analyze the impact on influence coverage, seeding budget, and process duration.

Main Methods:

  • Development of a novel sequential seeding algorithm tailored for multilayer network structures.
  • Empirical evaluation of the proposed technique using simulations on multilayer networks.
  • Comparative analysis against conventional seeding strategies used in single-layer network research.

Main Results:

  • Sequential seeding in multilayer networks significantly outperforms traditional approaches.
  • The technique leads to increased influence coverage across the network.
  • It allows for a more efficient use of the seeding budget.
  • However, the duration of the influence spreading process is extended.

Conclusions:

  • Sequential seeding is a superior strategy for maximizing influence spread in multilayer networks.
  • The method offers a practical approach for optimizing resource allocation in influence campaigns.
  • Further research may explore optimizing the trade-off between coverage, budget, and time.