Valdis Krebs, Founder and Chief Scientist, orgnet.com 03-24-09 Network Research Insights
Upcoming SlideShare
Loading in...5
×
 

Valdis Krebs, Founder and Chief Scientist, orgnet.com 03-24-09 Network Research Insights

on

  • 1,058 views

Valdis Krebs, network software and analysis consultant, talks about how the idea of mapping networks got started, and the unusual opportunities available now for this growing, multidisciplinary, ...

Valdis Krebs, network software and analysis consultant, talks about how the idea of mapping networks got started, and the unusual opportunities available now for this growing, multidisciplinary, emergent field of theoretical and practical research.

Statistics

Views

Total Views
1,058
Views on SlideShare
1,058
Embed Views
0

Actions

Likes
0
Downloads
6
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Valdis Krebs, Founder and Chief Scientist, orgnet.com 03-24-09 Network Research Insights Valdis Krebs, Founder and Chief Scientist, orgnet.com 03-24-09 Network Research Insights Document Transcript

  • 1 Interview and transcription March 24, 2009 Valdis Krebs, Social Network Software and Analysis Network Analysis -- Research Insights March 2009 Innovations in Network Research So, one of the nice things about working in the network world is it’s a real exciting place to be these days. There is a lot of research going on and there is a lot of people doing a lot of different things and it’s just amazing, all of the neat papers and articles that come out, it’s almost like I don’t have time to read them all. So, this whole field of network science has been around a while, it started basically with sociologists and anthropologists back in the 1930’s when they were studying small groups. They were studying small groups in schools, they were studying small groups in organizations, they were studying small groups on wild Pacific Islands and they needed a way to map things out so they started drawing circles and lines and showing these people are connected through family ties and these people are connected through neighbor ties and these people work together on this workbench and then they pass off their finished work product to those people on this workbench and so, this whole mapping process became part of network analysis, as it was called back then. It is still very useful today except that today we computers to help us do all that, we no longer do it by hand. As computers have become more and more functional and smaller and smaller and cheaper and cheaper, we’ve been able to do many things on them that we couldn’t do before. So people in the fifties, if they were lucky they had access to some kind of mainframe or more in the sixties that was true and they were able to do some analysis, but today the kind of analysis that people would wait twenty-four hours for on a mainframe, we can do on a Mac Book in twenty-four seconds. We can have a discussion now with our clients, with our customers, about network maps and network patterns and what’s going on. So we can quickly run various 'What if's?’ we can say, “Okay, what if we add in a new connection between these groups? What happens if we add in a new person? What if this person leaves? What if these people who are used to working together, now get moved to two different buildings?” We can do all sorts of “What if?” analysis very quickly and understand what might happen with this very complex human system that we’re dealing with. Creative Commons License Attribution-Noncommercial No Derivative Works 3.0 United States The Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Floor Cleveland Ohio 44103 USA
  • 2 [22:40:24] So, back to the research, like I said, sociologists and anthropologists started this whole field, and probably in the 1980’s we had lots of business people getting interested in what was going on here and in the 1990’s, and in the late 1990’s physicists s became very interested in networks and mathematicians and biologists and so now, this field of network science has many of the hard sciences, not just the social sciences, all competing with each other, writing papers, not always quoting each other, but that’s how it goes, it’s kind of the Wild, Wild West, the Gold Rush in the network world, but, that also makes it a very exciting place to be and what makes it exciting is that learning from one party of the field often gets transferred over to another part. I am a big believer in this concept that innovation happens at the intersections, so the more intersections we can have with people who have similarities and differences, the better we are. Because innovation usually isn’t something brand new that gets created out of the blue, it’s usually taking something that kind of works over here and moving it over there and getting it to work. It’s not like in organizations where we were looking often at best practices, where we were trying to move something exactly from one place to another, but when we move something we usually have to adapt it. Because it works in the context that it’s in a certain way and then when we take it out of that context some things have to change so we have to adapt to it. Often, the fundamental pattern, the fundamental structure can be moved and adapted between various organizations, various groups, various communities, and various regions. So, works in Northeast Ohio region, may work in Indiana. What works in Indiana, may work in Wisconsin. What works in rural Southeast Ohio down around Athens, may also work in Madison, Wisconsin in the rural area there. There are things that can get transferred, there are lessons that can be learned, there are techniques that can be transferred, but then again we have to realize we can’t take it ‘lock stock and barrel’. Once we uproot this tree here, we have to plant it elsewhere and we have to put different dirt around it and we have to make sure there’s enough roots and all that other stuff. [25:35:00] So, in this whole field, we are finding from the biologists that there’s this concept that they’re all interested in called, “motifs” and what that is, is that there are certain network patterns that seem to show up in diseases, there are certain network patterns that seem to show up in the Brain, and in the Brain of multiple species, there’s certain patterns that show up in nervous systems, in eco systems and things like that. These are adaptive patterns that have evolved in nature over millions or billions of years. These are patterns that are useful for that species to do what it needs to do. We are taking that learning from Biology and we’re looking at organizations and communities. Are there certain motives; are there certain patterns that we see in organizations that perform well, in communities that perform well? Is there a difference between a so-called “Smart Network” and a network that doesn’t perform as well, a network that struggles? That’s kind of an interesting thing to look at because we can take learning’s from other sciences learning’s from complexity sciences, looking at the world from fractals and chaos and emergence, and what does that teach about structures that evolve and are useful for communities and organizations? It’s an exciting time and there’s a lot of people doing a Creative Commons License Attribution-Noncommercial No Derivative Works 3.0 United States The Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Floor Cleveland Ohio 44103 USA
  • 3 lot of things and sharing information. If you go on to places like Twitter or the SONET list or if you go to the Sunbelt Conference and places like that there are all these ideas flying around and people are sharing these things and people are walking away with new intersections. They’re going back to their home base and hopefully, a lot of interesting innovations will happen out of these new intersections that are happening. Our generous thanks to Valdis Krebs http://www.orgnet.com The Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Floor Cleveland Ohio 44103 USA Copyright 2009 I-Open http://i-open.org Creative Commons License Attribution-Noncommercial No Derivative Works 3.0 United States Related I-Open Interviews • Insights from Valdis Krebs: Networks of Corruption, Employment Networks, and Innovations in Network Research [00:27:58] Vimeo, Livestream • Learning from Corruption Networks [00:10:17] Livestream, Vimeo, You Tube • Building Employment Networks [00:10:17:00] Vimeo, Livestream • Network Research Innovations [00:08:19] Tube, Vimeo, Livestream • Social Network Analysis 1997 – 2007 Valdis Krebs Part 1 Defrag Conference 2007 Livestream, Vimeo • Social Network Analysis 1997 – 2007 Valdis Krebs Part 2 Defrag Conference 2007 Livestream, Vimeo Articles • Social Networks – the new front in the war on terror, Military Tech, CNET News http://news.cnet.com/8301-13639_3-10315748-42.html • Fireside Chat with Ed & Valdis – First of a series of chats on leading edge ideas in regional economic development with Ed Morrison and Valdis Krebs http://www.thenetworkthinker.com/2009/08/fireside-chat-with-ed-valdis.html Biographical Valdis Krebs is the Founder, and Chief Scientist, at orgnet.com. Valdis is a management consultant, researcher, trainer, author, and the developer of InFlow software for social and organizational network analysis [SNA/ONA]. InFlow maps and measures knowledge exchange, information flow, emergent communities, networks of alliances and other connections within and between organizations and communities. http://www.orgnet.com/VKbio.html Creative Commons License Attribution-Noncommercial No Derivative Works 3.0 United States The Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Floor Cleveland Ohio 44103 USA View slide
  • 4 Contact Information Valdis Krebs E-mail: valdiskrebs@orgnet.com Twitter: ValdisKrebs Creative Commons License Attribution-Noncommercial No Derivative Works 3.0 United States The Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Floor Cleveland Ohio 44103 USA View slide