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Related Experiment Video

Updated: Aug 29, 2025

Straightforward Assay for Quantification of Social Avoidance in Drosophila melanogaster

Straightforward Assay for Quantification of Social Avoidance in Drosophila melanogaster

Published on: December 13, 2014

Social diffusion sources can escape detection.

Marcin Waniek¹, Petter Holme^2,3, Manuel Cebrian^4,5,6

¹Computer Science, Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi 129188, UAE.

|September 12, 2022

Summary

This summary is machine-generated.

Social network sources can evade detection by altering network structures. Removing links is more effective than adding fake nodes for uncovering the origin of diffusion.

Keywords:

Applied sciences Computer science Computer systems organization Internet Internet-based information systems Social sciences

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Area of Science:

Social Network Analysis
Information Diffusion
Network Security

Background:

Identifying diffusion sources in social networks is crucial for understanding information spread.
Previous research has overlooked strategic network manipulation by sources to avoid detection.

Purpose of the Study:

To investigate how sources can evade detection by modifying network structures.
To evaluate the effectiveness of different source-hiding mechanisms.

Main Methods:

Analysis of two source-hiding mechanisms: source-initiated actions and network structure properties.
Evaluation of link removal versus fake node introduction for evasion.

Main Results:

Sources can effectively escape detection through strategic network modifications.
Removing existing links is a more potent strategy for evasion than introducing artificial nodes.

Conclusions:

Diffusion sources can successfully conceal their identity by manipulating network topology.
Efforts to detect diffusion sources should prioritize exposing hidden connections over identifying fabricated ones.