New measures are added: Trophic level and Indirect effects indices.

There has been new developments on how indirect effects are computed, and the original definition has been revised. EcoNet results now include these new revised formulations. An important missing feature, trophic level, is also added.

EcoNet is becoming popular worldwide!

EcoNet has reached over 3000 unique users from over 90 countries.
Here's what we've stumbled upon on YouTube: a video of students from Budapest building EcoNet models. It was posted on May, 2010.

Matlab output for detailed Network Environ Analysis

Matlab output of EcoNet includes a new matrix (Nea) which can be directly input into a Matlab function for more detailed Network Environ Analysis. Simply download the Econet results in Matlab format, and run both codes as follows:
>> EcoNet_Results; 
>> NEA(Nea);

Stoichiometric matrix and Development Capacity

EcoNet results now include Stoichiometric matrix and Development Capacity.

Econet 2.0 has replaced EcoNet 1.3

Thanks for all your feedback during the testing period of EcoNet 2.0. Many users noted the "user friendliness" of EcoNet 2.0. Creating a more capable tool, yet keeping it still "easy to use" was the main goal of EcoNet 2.0. We intend to develop Econet, make it even more capable while preserving its simple interface.

EcoNet 2.0 is available for testing. Try it now!

EcoNet 2.0 is a lot more stable, capable and is even easier to use. What is new?
  • Stability: You will never see the "EcoNet is busy" page again, ever. Every code in EcoNet is rewritten to handle many users simultaneously and effiicently. Once you hit "Run Model", EcoNet will inform you about how many users are currently using EcoNet with you:
  • More analysis results: EcoNet results now include residence times, compartmental throughflows, connectance, synergism index, ascendency, total system throughflow, mutualism index, network aggradation, homogenization index, output oriented throughflow and storage analysis, control analyis and eco-exergy. Click on "Show extended results" link to see all analysis results.
  • Publication quality figures: You can click on any figure to download the same figure in EPS (Encapsulated Postscript) format. EPS is a high quality vector based format for printed media. You can generate JPEG or GIF files of any desired resolution from this EPS file using free or commercial software (Adobe, Gimp, etc.).
  • Spreadsheet compatibility: You can export EcoNet simulation and analysis results in Matlab/Octave format, or in CSV (comma separated value) format for spreadsheet software (Excel, Open Office, Gnumeric. etc.).
  • Updated Documentation: All EcoNet simulation and analysis results are accompanied with a "(Learn more)" link, which opens the related documentation in a new browser window for convenience. New documentation is written for new analysis results, with references to manuscripts and books.
EcoNet 2.0 is currently in Beta. We appreciate your suggestions and feedback before its final release.

EcoNet book chapter.

EcoNet 1.2 is covered in detail in the new book "Handbook of Ecological Modelling and Informatics", by WIT Press.

No more model size limits.

EcoNet models had to be less then 1024 characters, to be transferred to EcoNet server. We changed the transfer method, which increased security, and removed this size limit.

EcoNet results now include Indirect Effects Index.


Get individual help with your models.

When you run a model, and get an error, you now have the option to report the error and receive personalized help for your model. It will help us refine EcoNet and help you with your model.

EcoNet results are fully compatible with Matlab and Octave.

Each time you run your model, EcoNet automatically creates a Matlab m-file containing your analysis results. You can then download and run this file under Matlab or Octave to import all EcNet results into your workspace. This feature enables users to write their own Matlab or Octave codes that utilize EcoNet results.

EcoNet results now include Finn's cycling index.


EcoNet paper is published.

EcoNet paper got published at Ecological Modelling. You can cite EcoNet as follows:
Kazanci, C., 2007. EcoNet: A new software for ecological modeling, simulation and network analysis, Ecol. Model., Vol 208/1 pp 3-8.

EcoNet features donor and recipient controlled (Lotka-Volterra) flow types.

In addition to donor-controlled flows, EcoNet now features donor and recipient controlled (Lotka-Volterra) flow types, useful especially for building predator-prey type models. Interface is still simple as before; simply use r instead of c (Read more here).

EcoNet documentation is finally complete.

EcoNet gets a fully detailed documentation, a F.A.Q. page and a Contact page. The documentation includes an example study (Georgia salt marsh energy flow study) demonstrating the use of network environ analysis and EcoNet.

EcoNet simulations now take less than a second!

This is the third performance upgrade since EcoNet was first online on May 31, 2006. Today, EcoNet runs ten times faster compared to a year ago. Previously, a compiled Matlab code was used to create the time-course plot. We replaced it with a new script using GnuPlot, which enables users to get complete simulation and analysis results in less than a second, depending on the complexity of their model and their internet connection. The new time course plots also look smoother because they are anti-aliased. EcoNet is now Matlab free...

Econet is the news feature today at the University of Georgia homepage.

Here is a snapshot of UGA homepage for this day; and here is the news release.

EcoNet presentations

Econet was a part of our presentation at the SIAM conference on applications of dynamical systems, Snowbird, UT.

"Clear Model" button added.

We added the "Clear Model" button to the upper left corner of the model window, so that users can get rid of the default example model easily.

EcoNet presentation

EcoNet is presented at the TASSA annual conference, Yale University, CT. Two days ago, EcoNet was presented at the CSBS 2007, the second annual computational and systems biology symposium, University of Georgia, GA.

EcoNet is now being tracked by Google Analytics


Bug-fix: Problem with pictures

When using MS Internet Explorer, EcoNet sometimes displayed pictures from previous simulations. This is actually a problem with IE, rather than EcoNet, as it works fine with Firefox. Well, now users can use IE if they have to. Still, we recommend using Firefox when running EcoNet because IE has many other issues.

Major Update

EcoNet finally gets a much needed major update with dynamic menus, a page of examples, and partial documentation explaining how to write an EcoNet model.

Performance update: EcoNet now runs twice as fast (less than 4 seconds).

Previously, each EcoNet simulation took eight seconds, mainly due to the inefficiency of some compiled Matlab routines. As of now, every numerical operation in EcoNet is performed in C++.

Bug-fix about using tabs

EcoNet gave errors if the model text contained any tab characters. This issue is fixed. Thanks to Ramana Callan for contacing us with this problem.

Network diagrams are updated.

Previously, network diagrams were created using Matlab. New scripts that utilize Graphviz not only create nicer graphs faster, but optimize the location of each compartment according to its throphic level. Here's the old and the new versions of the oyster reef ecosystem model network diagram:

EcoNet presentations

EcoNet is a part of our presentation at ICEM (International Conference on Ecological Modeling), Yamaguchi, Japan. We presented EcoNet a month ago at the joint SIAM-SMB Conference on the Life Sciences, Raleigh, NC.

First EcoNet Presentation

I introduced EcoNet at the Ecological Modeling Workshop, University of Copenhagen, Denmark.

Busy page added.

We had to create an "EcoNet is busy" web page, that comes up when EcoNet is overloaded. It asks the user to wait for 10 seconds, instead of not responding.

EcoNet is online!

This webpage did not exist when EcoNet went public the first time. EcoNet was a very basic web-page without menus, with very little documentation. A single simulation took around 10 seconds to run.
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