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Team:Paris Bettencourt/HumanPractice/collaborationMap
From 2011.igem.org
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<h1>Collaboration Map</h1> | <h1>Collaboration Map</h1> | ||
| - | <p>Nanotubes create random relationships between cells, possibly from different types/species. Those relationships could have a long or a short duration... Just the way it happens with people! And more specifically between teams. Indeed, teams can exchange imformation and knowledge by collaborating, sometimes at an international level. Collaboration between teams can be a long-term relationship (like the one between Paris Bettencourt and PKU), or shorter flings.</p> | + | <p>Nanotubes is a new way of communication between bacteria but it also highlights the importance of collaboration between bacteria in order to survive (for example, see antibiotics experiment). |
| + | Our question is: do the iGEM teams make (nano)tubes between each other in order to succeed in this competition? | ||
| + | Indeed, building collaborative projects, sharing biobricks, strains or protocols could give a selective advantage to the teams that collaborate. Nanotubes can create random relationships between cells, possibly from different types/species. Those relationships could have a long or a short duration... Just the way it happens with people! And more specifically between teams. Indeed, teams can exchange imformation and knowledge by collaborating, sometimes at an international level. Collaboration between teams can be a long-term relationship (like the one between Paris Bettencourt and PKU), or shorter flings.</p> | ||
<h2> Objectives </h2> | <h2> Objectives </h2> | ||
<p>Extract from wikis (collaborations, medals, prizes, geographic location)</p> | <p>Extract from wikis (collaborations, medals, prizes, geographic location)</p> | ||
Revision as of 02:26, 29 October 2011
Collaboration Map
Nanotubes is a new way of communication between bacteria but it also highlights the importance of collaboration between bacteria in order to survive (for example, see antibiotics experiment). Our question is: do the iGEM teams make (nano)tubes between each other in order to succeed in this competition? Indeed, building collaborative projects, sharing biobricks, strains or protocols could give a selective advantage to the teams that collaborate. Nanotubes can create random relationships between cells, possibly from different types/species. Those relationships could have a long or a short duration... Just the way it happens with people! And more specifically between teams. Indeed, teams can exchange imformation and knowledge by collaborating, sometimes at an international level. Collaboration between teams can be a long-term relationship (like the one between Paris Bettencourt and PKU), or shorter flings.
Objectives
Extract from wikis (collaborations, medals, prizes, geographic location)
Represent the collaboration between teams as a network
Relate success in the competition to collaborations and other parameters
Methodology
With all the data obtained by scanning all the wikis from 2007 to 2011, we created a collaboration graph with Touchgraph (you can find a tutorial and our files to download below).
We developped a graphic navigator for static representation of those graphs in flash which can be tested below.
The navigators bellow allow to zoom in and out. It also proposes to choose between different graphe (one per year for example).
Collaboration map per year
This map represent the collaboration between teams for each year from 2007. There is no data about prizes and medal on IGEM site for 2008.
this map show us that teams witch are the most collaborating are ?majoritarely? new teams
Legend
Level of collaboration
this map propose Three differents graphs :- The first, show teams collapsed by level of collaboration for each region : the first lvl is no colaboration, the second is collaboration only with teams of the same region, and the third is collaboration between regions.
- The second graph show us the repartition of collaborating teams by country : each teams of the same country have the same color
- The third one show the ratio of collaboration per region : all the teams of each region have the same color
For example on this map we can see that countries with a lot of teams have just a little parts of them witch are collaborating (look at, China and US)
Japan collaboration over time
we took the example fo the Japan collaboration over the years because all the teams usually collaborate mostly with other Japan team.
TouchGraph simple manual for collaboration graphes
You can found here the database used : Data file and project file
all the graphes used on this page are extracted from TouchGraph representation
to use those data, download TouchGraph and instal it.
Next, load the project file and the Data file.
In the TouchGraph menu, choose settings-> filter to change the year, or for adding more filter.
All the parameters of the graph can be edited with the Settings-> show Dialog menu
More information about TouchGraph can be find there : TouchGraph Manual
