ANALISIS DE REDES. SNA TOOLS:
GEPHI: Visualización y
métricas básicas de redes
Gephi is an interactive visualization and
exploration platform for all kinds of networks and complex systems,
dynamic and hierarchical graphs.
Runs on Windows, Linux and Mac OS X. Gephi is
open-source and free
NETLOGO: Modelización
de redes dinámicas
NetLogo is a programmable modeling environment for
simulating natural and social phenomena. It was authored by Uri Wilensky in
1999 and has been in continuous development ever since at the Center for
Connected Learning and Computer-Based Modeling.
NetLogo is particularly well suited for modeling
complex systems developing over time. Modelers can give instructions to
hundreds or thousands of "agents" all operating independently. This
makes it possible to explore the connection between the micro-level behavior of
individuals and the macro-level patterns that emerge from their interaction.
NetLogo lets students open simulations and
"play" with them, exploring their behavior under various conditions.
It is also an authoring environment which enables students, teachers and
curriculum developers to create their own models. NetLogo is simple enough for
students and teachers, yet advanced enough to serve as a powerful tool for
researchers in many fields.
NetLogo has extensive documentation and tutorials. It
also comes with the Models Library, a large collection of pre-written
simulations that can be used and modified. These simulations address content
areas in the natural and social sciences including biology and medicine,
physics and chemistry, mathematics and computer science, and economics and
social psychology. Several model-based inquiry curricula using NetLogo are
available and more are under development.
NetLogo can also power a classroom
participatory-simulation tool called HubNet. Through the use of networked
computers or handheld devices such as Texas Instruments graphing calculators,
each student can control an agent in a simulation.
NetLogo is the next generation of the series of
multi-agent modeling languages including StarLogo and StarLogoT. NetLogo runs
on the Java virtual machine, so it works on all major platforms (Mac, Windows,
Linux, et al). It is run as a standalone application. Models and HubNet
activities can be run as Java applets in a web browser. Command line operation
is also supported.
http://ccl.northwestern.edu/netlogo/docs/
IGRAPH
igraph is a free software package for creating and
manipulating undirected and directed graphs. It includes implementations for
classic graph theory problems like minimum spanning trees and network flow, and
also implements algorithms for some recent network analysis methods, like
community structure search.
igraph contains functions for generating regular and
random graphs, manipulating graphs, assigning attributes to vertices and edges.
It can calculate various structural properties, graph isomorphism, includes
heuristics for community structure detection, supports many file formats. The
R and Python interfaces support visualization.
igraph runs on most modern machines and
operating systems, and it is tested on MS Windows, Mac OSX and various Linux
versions.
The software you need for installing igraph
depends on whether you want to use the C library, the R package or the Python
extension; and may vary depending on your platform.
UCINET: Programa para
crear, editar y analizar redes sociales
Es el paquete de software más
difundido entre los analistas de redes sociales. Su creador es Steve Borgatti,
profesor del Boston College (USA).
El programa Ucinet (6.2) está
concebido para un ambiente Windows y es una de las principales herramientas
informáticas para el Análisis de Redes Sociales. El paquete completo contiene tres
programas básicos: el mismo Ucinet, el Spreadsheet y el NetDraw, que cumplen
roles diferentes y complemetarios, tal y como se describe a continuación:
- Ucinet. Programa central que calcula los indicadores del Análisis de redes sociales y a partir del cual se accede a los otros programas en forma directa desde las barras de herramientas. Existen diferentes tipos de indicadores de red que permiten medir:
- Propiedades generales de la red.
- Propiedades de los actores en forma individual, en relación a su entorno.
- Propiedades de sub estructuras específicas resultantes de una configuración.
- Spreadsheet. Planilla que permite capturar los datos relacionales bajo forma de matrices de adyacencia o de atributos y que cuenta con herramientas para el análisis matricial previo al cálculo de indicadores y análisis gráfico. Spreadsheet se presenta como una planilla de cálculo y es compatible con “copiar” y “pegar” de Excel.
- NetDraw. Programa gráfico versátil destinado a la visualización de las Redes Sociales. Este permite observar a los diferentes actores de una red, con sus relaciones y características propias, en forma de grafos (gráficos de red) simples (2 dimensiones).
Dos tipos de análisis:
- El análisis numérico (cuantitativo), a través del programa Ucinet (ver punto Nº4).
- El análisis gráfico, a partir del programa NetDraw que veremos a continuación.
El programa Ucinet 6 es
comercializado por la empresa www.analytictech.com
Links: Manual: http://www.arschile.cl/ucinetv1/
PAJECK: (Large) Network Analysis And Visualization
Pajek (Slovene word for Spider) is a program,
for Windows, for analysis and visualization of large networks. It is freely
available, for noncommercial use, at its download page. See also a reference
manual for Pajek
(in PDF). The development of Pajek is traced in its History.
NODEXL: Network Graph
SNA integrated into Excel (only Windows). Free.
NodeXL is a free, open-source template for
Microsoft® Excel® 2007 and 2010 that makes it easy to explore network graphs. With NodeXL, you can enter a network
edge list in a worksheet, click a button and see your graph, all in the
familiar environment of the Excel window.
SNA: Tools for Social Network Analysis
(specialized)
A range of tools for social network analysis,
including node and graph-level indices, structural distance and covariance
methods, structural equivalence detection, network regression, random graph
generation, and 2D/3D network visualization.
SONIA: Social Network Image Animator
(specialized)
SoNIA is a Java-based package for visualizing
dynamic or longitudinal "network" data. By dynamic, we mean that
in addition to information about the relations (ties) between various entities
(actors, nodes) there is also information about when these relations occur, or
at least the relative order in which they occur.
The intention for SoNIA is to read-in
dynamic network information from various formats, aid the user in constructing "meaningful"
layouts, and export the resulting images or "movies" of the network, along with information
about the techniques and parameter settings used to construct the layouts, and some
form of statistic indicating the "accuracy" or degree of
distortion present in the layout. This is all somewhat ambitious, but not
impossible.
SoNIA will have other uses. One of the most
important is for it to work as a platform for the development, testing,
and comparison of various static and dynamic layout techniques. Because
of this, We have attempted to code SoNIA as an OpenSource project in a modular
fashion so that the various layout techniques and tools are fairly interchangeable,
and they can all draw on a common set of utility functions for common network
and layout operations.
Another mode of use that SoNIA supports is that
of a "browser" for time-based network data. Our intention is
to make it as easy as possible for users (us) to visually inspect sets of
relations in large datasets at varying temporal resolutions and degrees of
aggregation.
NETWORKX: High-productivity software for complex networks (Phyton)
NetworkX is a Python language software package
for the creation, manipulation, and study of the structure, dynamics, and
functions of complex networks.
Open Source.
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MORE TOOLS:
R
R, Crunch
Tableau
Evidence Hub
SNAPP
Many Eyes
Gapminder
Track Sistems: RescueTime, Wakoopa,
Rabbit Eclipse plug-in (para Eclipse IDE)
Open Social Api
Editor de gadgets de Google.
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Concept Maps:
VUE
CMAP
Compendium
The Learning Analytics Evidence Hub
Cohere
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Learning Analytics: Tool Matrix by David Dornan
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