In computer networks, self-similarity is a feature of network data transfer dynamics.

This article defines and describes network data transfer dynamics in the context of a self-similar process.

Systems used to collect network data for forensics use usually come in two forms:

Recent technological advances in experimental biology have yielded large amounts of biological network data.

Provide the physical means for communication between local network data link entities.

Some examples include streaming graphics from a central server, and visualizing large amounts of network data.

It was exposed to the applications only insofar as whether the network data reads and writes blocked or not.

Transmitted network data may also be captured by a remote computer for data analysis.

Visual representations of social networks are important to understand network data and convey the result of the analysis.

Visualization often also facilitates qualitative interpretation of network data.