A project from the Social Media Research Foundation: :// Finding direction in a sea of connection:
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Marc A. Smith Chief Social Scientist Connected Action Consulting Group [email protected] http://www.connectedaction.net http://www.codeplex.com/nodexl project from the Social Media Research Foundation : http:// www.smrfou Finding direction in a sea of connection: Mapping networks and Social media
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Transcript of A project from the Social Media Research Foundation: :// Finding direction in a sea of connection:
Marc A. SmithChief Social ScientistConnected Action Consulting [email protected]://www.connectedaction.nethttp://www.codeplex.com/nodexl
A project from the Social Media Research Foundation: http://www.smrfoundation.org
Finding direction in a sea of connection:
Mapping networks and
Social media
About Me
Introductions
Marc A. SmithChief Social ScientistConnected Action Consulting Group
[email protected]://www.connectedaction.nethttp://www.codeplex.com/nodexlhttp://www.twitter.com/marc_smithhttp://delicious.com/marc_smith/Paper http://www.flickr.com/photos/marc_smithhttp://www.facebook.com/marc.smith.sociologisthttp://www.linkedin.com/in/marcasmithhttp://www.slideshare.net/Marc_A_Smithhttp://www.smrfoundation.org
http://www.flickr.com/photos/library_of_congress/3295494976/sizes/o/in/photostream/
http://www.flickr.com/photos/amycgx/3119640267/
SNA 101• Node
– “actor” on which relationships act; 1-mode versus 2-mode networks• Edge
– Relationship connecting nodes; can be directional• Cohesive Sub-Group
– Well-connected group; clique; cluster• Key Metrics
– Centrality (group or individual measure)• Number of direct connections that individuals have with others in the group (usually look at
incoming connections only)• Measure at the individual node or group level
– Cohesion (group measure)• Ease with which a network can connect• Aggregate measure of shortest path between each node pair at network level reflects
average distance– Density (group measure)
• Robustness of the network• Number of connections that exist in the group out of 100% possible
– Betweenness (individual measure)• # shortest paths between each node pair that a node is on• Measure at the individual node level
• Node roles– Peripheral – below average centrality– Central connector – above average centrality– Broker – above average betweenness
E
D
F
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CB
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CD
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A B D E
Location, Location, Location
Network of connections among “SharePoint” mentioning Twitter users
Position, Position, Position
There are many kinds of ties….
http://www.flickr.com/photos/stevendepolo/3254238329
“Think Link”Nodes & Edges
Is related to
A BIn and Out Degree
“Think Link”Nodes & Edges
Is related to
A BTies of different types
Edits
Shares membership
“Think Link”Nodes & Edges
Is related to
Person Document
Nodes of different types
Edits
Shares membership
World Wide Web
Each contains one or more social networks
Social Media Research FoundationOpen Tools, Open Data, Open Scholarship
Now Available
Communities in Cyberspace
Contact:
Marc A. SmithChief Social ScientistConnected Action Consulting Group
[email protected]://www.connectedaction.nethttp://www.codeplex.com/nodexlhttp://www.twitter.com/marc_smithhttp://delicious.com/marc_smith/Paper http://www.flickr.com/photos/marc_smithhttp://www.facebook.com/marc.smith.sociologisthttp://www.linkedin.com/in/marcasmithhttp://www.slideshare.net/Marc_A_Smithhttp://www.smrfoundation.org
Marc A. SmithChief Social ScientistConnected Action Consulting [email protected]://www.connectedaction.nethttp://www.codeplex.com/nodexl
A project from the Social Media Research Foundation: http://www.smrfoundation.org
Finding direction in a sea of connection:
Mapping networks and
Social media
