"The Intranet tends to follow trends from the web, and social networking is
no exception" [Nielsen Normal Group 2009]
"It's better to structure information according to how people use it, rather
than what department owns it"[Jakob Nielsen 2009]
enterprise 2.0
"the use of emergent social software platforms within companies, or between companies and their partners or customers" [Mc Afee 2006]
"emergent social software platforms"
"digital environments in which contributions and interactions" are:
• "globally visible and persistent over time"• performed with social softwares that "enable people
to rendezvous, connect or collaborate through computer-mediated communication and to form online communities"
• emergent, freeform, with "patterns and structure inherent in people’s interactions".
[Mc Afee 2009]
intranet of people via @amcafee
Search
Links follow me @ereteog
Authoring "read write web"
Tags
Extension see also
Signals
Social Networks
A social network is made of actors (people, organizations, group) that are tied by social links.
• explicit and declared relations
• interactions between actors
• affiliation between actors
Social links
colleague
communicate
skill
skillweb
the bull's eye of @amcafee
• Strong links: close collaborators
• Weak links professional acquaintances
• Potential links: professional proximity
• Absent relationships: remainder of the network
Social capital
"resources embedded in one's social networks, resources that can be accessed or mobilized through ties in the networks" [Lin 2008]
Enterprise 2.0 and corporate social capital
Wiki, online office suites: • collaboration• productivity• agility
social networking service:• link maintenance• non-redundant information• network bridging
blog, social tagging:• efficient search• link formation• collective intelligence
the user need help for efficiently handling its social capital
and preserve the benefits of enterprise 2.0
Social network analysis
helps understanding and exploiting the key features of social networks in order to manage
their assets, their life cycle and predict their evolution.
community detection
Influences the wayinformation is shared[Coleman 1988]
influences the way actors behave [Burt 2000]
distribution of actors and activities
Centrality: strategic positions
Degree centrality: Local attention
beetweenness centrality:reveal broker "A place for good ideas"[Burt 1992] [Burt 2004]
Closeness centrality: Capacity to communicate
[Freeman 1979]
maintain strong links
• exploit the semantic of links to filter notifications
• highlight influent actors and popular resources not yet mobilized
strengthen weak links
highlight valuable weak links that provide access to relevant assets and opportunities
filter potential social capital and
connect communities and people
that should collaborate
bridge social gaps