Thinking Network Thoughtsmeasuring your intranet’s activity using social network analysis

Gordon RossVice President & PartnerOpenRoad Communications

@gordonr @thoughtfarmer#sisw

CC: Michael Krigsman, Flickr http://www.flickr.com/photos/mkrigsman/3428179614/

Who is connected to whom?

How does information, influence, and power

travel through the network?

What action can I take to have an effect on the

network?

Wikimedia Commons: http://commons.wikimedia.org/wiki/File:Maasai_tribe.jpg

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Source: Informal Networks, Krackhardt & Hanson, HBR Jul-Aug 1993

Node A Node B

Tie

Gordon Darren

work together

JenniferBenClaudia

Steven

Sarah

David

Fred

Claire

Tom

Susan

Kite Network Example – David Krackhardt, Carnegie Mellon University

JenniferBenClaudia

Steven

Sarah

David

Fred

Claire

Tom

Susan

Sarah and Steven share highest closeness, nearest to everyone

Jennifer has the lowest closeness, is the furthest “away”

Claudia has the highest betweeness, is a bridge to Ben & Jennifer

Susan has the highest degree, most connections

JenniferBenClaudia

Steven

Sarah

David

Fred

Claire

Tom

Susan

Kite Network Example – David Krackhardt, Carnegie Mellon University

JenniferBen

Steven

Sarah

David

Fred

Claire

Tom

Susan

Kite Network Example – David Krackhardt, Carnegie Mellon University

Let’s get back to the intranet, shall we?

ChristinaBevin

commented on owns

12 months289 users7140 comment ties

Intranet page

Cool. How’d you do that?

“Social Network Analysis is to Enterprise 2.0 systems what Business Intelligence is to ERP systems.”

1. Define your analysis goals

What is it about your intranet that you're interested in analyzing?

2. Collect and structure your data

Bevin

Bevin

Christina

http://Intranet/HR/policy/1386

Node Node

Bevin Christina

Bevin Tara

Node Node

Bevin 1386

Bevin 2723

Tara

http://Intranet/HR/policy/2723

3. Interpret your data

4. Prepare your findings

Source: SocialAction, University of Maryland

CC – Leo Reynolds , Flickr http://www.flickr.com/photos/lwr/3578321624/

Source: http://gapingvoid.com

Source: http://johngushue.typepad.com/blog/2007/11/curious-george-.html

Image: Jessica Hagy, Indexed, http://thisisindexed.com/

thank you

Gordon Rossgordonr@openroad.catwitter.com/gordonrwww.thoughtfarmer.com/blog