Good online reosurces

Here is a good resource for netdraw.

http://faculty.ucr.edu/~hanneman/nettext/C4_netdraw.html

Check out locaction locaction, location

How do I get a legend for node size or color by attribute?

A quick and dirty way is to open the properties menu. Select the property you want to change by attribute (say dorm). While the dialog window is up, press ALT + PrINT SCREEN. The image is now on your clipboard. Open a word file. From edit menu, select paste. You should have an image of the window from netdraw.

How do I use K-Cores in Netdraw?

Peter-

Here is what it means:


A k-core is a maximal group of actors, all of whom are connected to some number (k) of other members of the group. To be included in a k-plex, an actor must be tied to all but k other actors in the group. The k-core approach is more relaxed, allowing actors to join the group if they are connected to k members, regardless of how many other members they may not be connected to. By varying the value of k (that is, how many members of the group do you have to be connected to), different pictures can emerge. K-cores can be (and usually are) more inclusive than k-plexes. And, as k becomes smaller, group sizes will increase.

NetDraw includes a tool for identifying and coloring a graph according to its K-cores. The UCINET algorithm for identifying K-cores is located at Network>Regions>K-Core.

In our example data, if we require that each member of a group have ties to 3 other members (a 3-core), a rather large central group of actors is identified {1,2,3,4,5,7,10}. Each of the seven members of this core has ties to at least three others. If we relax the criterion to require only two ties, actors 8 and 9 are added to the group (and 6 remains an isolate). If we require only one tie (really, the same thing as a component), all actors are connected.

The k-core definition is intuitively appealing for some applications. If an actor has ties to a sufficient number of members of a group, they may feel tied to that group -- even if they don't know many, or even most members. It may be that identity depends on connection, rather than on immersion in a sub-group.


This from: http://faculty.ucr.edu/~hanneman/nettext/C11_Cliques.html#kcore

In our large network a k-core with a high value means those people in a kcore of 5 are attached to at least five other people in a cluster whoa re also attached to at least five of the same cluster. Its looser than a clique definition which is very strict and hard to see at cliques of size 4,5,6. There can be different K-cores of 4,5,6 and so on that may or may not be connected.

What this means precisely will be up to you to interpret. In our data, the K core of six is zach evans an is basketball friends. K-cores of 2 may not be that interesting individually as there are many.

Does this help?

How do I use the ego stack file?

How do I use the ego stack file?

You need to use netdraw. Open the egostack file. Its extension will be .##h. It takes a minute to load.

You can decrease the size of the labels using the menu button with anumber in it and up and down arrows next to it. You can use the other arrows to play with node size. This should help.

Also, you can go to the layout menu and select egonets. You get a new window. You can hit clear and then start to assemble linked egonets by checking the box of a particular individual.

Links

The purpose of this blog is to provide one stop technicalhelp for my six degrees calss.

Two sites for help.

www.visone.info There is a link for documentation.

http://www.analytictech.com/Netdraw/netdraw.htm There is a link for the manual.

You cna email me questions and I will post them here.