Igraph Dev C++
Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.
| Developer(s) | Gábor Csárdi and Tamás Nepusz |
|---|---|
| Initial release | 2006 |
| Stable release | |
| Written in | C |
| Operating system | Cross-platform |
| Type | Science software |
| License | GNU GPL2 |
| Website | igraph.org |
| Usage | |
- IGraph Framework contains the state of the art graph indexing techniques. This is implemented by using C. You may use the Microsoft Visual C for importing the project and view the source code. IGraph Demo is the visualization tool for demonstrating the data loading/query processing of.
- The igraph R package features an interactive graph layout editor for small graphs. It is a little toy only, but can be useful if you want to adjust the layout of small graphs.
- Feb 07, 2007 Graphics and Plotting in C. P: 85 emaghero. Hello All, Is there anybody out there who can tell me how I can use C to plot graphs? I would like to be able to numerically solve a problem, such as a differential equation, in C and plot the results in the output window, rather than having to export the data to another package, such as.
igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R packages.[1] There exists moreover an interface for Mathematica.[2] The software is widely used in academic research in network science and related fields. The publication that introduces the software has 5623 citations as of June 5, 2015 according to Google Scholar.
igraph was developed by Gábor Csárdi and Tamás Nepusz.[3] The source code of igraph packages was written in C. igraph is freely available under GNU General Public License Version 2.
Basic properties[edit]
The three most important properties of igraph that shaped its development are as follows:[3]
- igraph is capable of handling large networks efficiently
- it can be productively used with a high-level programming language
- interactive and non-interactive usage are both supported
Characteristics[edit]
The software is open source, source code can be downloaded from the project's GitHub page. There are several open source software packages that use igraph functions. As an example, R packages tnet,[4] igraphtosonia[5] and cccd[6] depend on igraph R package.Users can use igraph on many operating systems. The C library and R and Python packages need the respective software, otherwise igraph is portable. the C library of igraph is well documented[7] as well as the R package[8] and the python package [9]
Functions[edit]
igraph can be used to generate graphs, compute centrality measures and path length based properties as well as graph components and graph motifs. It also can be used for Degree-preserving randomization. Igraph can read and write Pajek and GraphML files, as well as simple edge lists. The library contains several layout tools as well.[3]
References[edit]
Dev C++ Online
- ^'igraph - igraph'. igraph.wikidot.com. Retrieved 2015-06-05.
- ^'IGraphM'. IGraph/M is an igraph interface for Mathematica. 2016-07-11. Retrieved 2016-07-11.
- ^ abc'Gábor Csárdi, Tamás Nepusz: The igraph software package for complex network research. InterJournal Complex Systems, 1695, 2006'(PDF). necsi.edu. Retrieved 2015-06-05.
- ^'CRAN - Package tnet'. cran.r-project.org. Retrieved 2015-06-05.
- ^'CRAN - Package igraphtosonia'. cran.r-project.org. Retrieved 2015-06-05.
- ^'CRAN - Package cccd'. cran.r-project.org. Retrieved 2015-06-05.
- ^http://igraph.org/c/doc/igraph-docs.pdf
- ^https://cran.r-project.org/web/packages/igraph/igraph.pdf
- ^http://igraph.org/python/doc/python-igraph.pdf