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Egonetworks

This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of view of an individual. This model considers only the social relationships that a focal node in the network (termed ego) maintains with other nodes (termed alters). Note that the model supported by this package does not consider relationships between alters (aka mutual friendship relationships), but only the star topology of alters connected to the ego. This ego network model is known as “Dunbar’s ego network”. The package offers several methods for the static and dynamic analysis of ego networks. It provides, for example, a function to obtain the “social circles” of the ego network, which are discrete groups of alters at similar level of tie strength with the ego. In addition, there are functions to analyse the dynamic evolution of ego networks and to calculate their stability over time. These functions are useful, for example, for the analysis of human behaviour in different social environments as well as for identifying particularly active, dynamic or sociable people from their communication traces. The package offers specialised classes for building and studying ego networks from Twitter data and from coauthorship or collaboration networks (i.e., networks where the ego is an author and the alters are people with whom he or she coauthored publications).

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Additional Info
Field Value
Accessibility Both
AccessibilityMode OnLine Access
Availability On-Line
Basic rights Distribution
CreationDate 2016-01-01
Creator Arnaboldi, Valerio
Field/Scope of use Non-commercial only
Hosting Environment GitHub
License term /Not specified
Owner Arnaboldi, Valerio
ProgrammingLanguage python
Sublicense rights No
Territory of use World Wide
ThematicCluster Social Network Analysis
system:type Method
Management Info
Field Value
Author Boldrini Chiara
Maintainer Boldrini Chiara
Version 1
Last Updated 22 June 2023, 12:23 (CEST)
Created 29 April 2021, 11:20 (CEST)