Use of dynamic networks in the tool about app HOT 7 OPEN

On Thu, Apr 13, 2017 at 3:09 PM, Dimitris Kalamaras < ***@***.***> wrote: Hello, thanks for opening the ticket. Please elaborate what a proper workflow would be for you. For instance, where the dynamic data should be loaded from? Or do you expect that SocNetV should create this dynamic network data using some algorithm? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#25 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AaI_NCNxBzd9UpZfm1oviItDp4Z1azRLks5rve02gaJpZM4M8Zd1> .

On Thu, Apr 13, 2017 at 3:17 PM, Dimitris Kalamaras < ***@***.***> wrote: I read your email reply just now. You mentioned "dynamic datasets in which the nodes and edges changes with the time". Am I correct that you need to somehow load/create a network and study it as it evolves through time? If so, perhaps the multi-relation feature (already supported in SocNetV) might be of help. With it, you can load/create a network with X actors and Y edges in relationship A (say "Monday"), then add a relationship B (say "Tuesday") and change the edges, then add a new relationship C (say "Wednesday") and change the edges as you wish, etc etc. This way you end up with a fixed-size network with many "relationships", each one depicting the network status in different time slots. The only catch is that you cannot remove actors between relationships. Does that sound helpful for your needs? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#25 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AaI_NGnBzNQRowyR9oNK3mnka0VIIlb0ks5rve8pgaJpZM4M8Zd1> .

Yeah that i will try to work on. As my aim is to compare the parameters of networks like modularity, average path length, clustering coefficients of both static and dynamic networks. As i am able to get static features from SocNetV but not for the dynamic networks. I can get both these stuff from Gephi tool. But i found SocNetV much more apt , so thats why thought to mail in order to get some help for dynamic networks. On Thu, Apr 13, 2017 at 3:17 PM, Dimitris Kalamaras < ***@***.***> wrote: > I read your email reply just now. You mentioned "dynamic datasets in > which the nodes and edges changes with the time". Am I correct that you > need to somehow load/create a network and study it as it evolves through > time? > > If so, perhaps the multi-relation feature (already supported in SocNetV) > might be of help. With it, you can load/create a network with X actors and > Y edges in relationship A (say "Monday"), then add a relationship B (say > "Tuesday") and change the edges, then add a new relationship C (say > "Wednesday") and change the edges as you wish, etc etc. This way you end up > with a fixed-size network with many "relationships", each one depicting the > network status in different time slots. > The only catch is that you cannot remove actors between relationships. > Does that sound helpful for your needs? > > — > You are receiving this because you authored the thread. > Reply to this email directly, view it on GitHub > <#25 (comment)>, or mute > the thread > <https://github.com/notifications/unsubscribe-auth/AaI_NGnBzNQRowyR9oNK3mnka0VIIlb0ks5rve8pgaJpZM4M8Zd1> > . > -- RICHA M.Tech CST Central University Of Punjab Bathinda

On Apr 13, 2017 7:55 PM, "Dimitris Kalamaras" ***@***.***> wrote: Hello, please open new tickets for different questions :) BTW, there is no screenshot in your reply. Perhaps you should upload it here: #25 <#25> Now, SocNetV supported formats can be seen here: http://socnetv.org/docs/ formats.html GML support is limited to these tags mentioned in the aforementioned link. What kind of network data are your txt files? List ? Adjacency ? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#25 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AaI_NH9_z3OIZ3At_mctbxgMdLR-JdcBks5rvjBEgaJpZM4M8Zd1> .