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Enterprise 2.0:
toward corporate social networks
Guillaume ERETEO
Organization have problems for
connecting people, documents,
information and knowledge
knowledge management, sharing and
accessibility
example: vista print
"we need to train our new people quickly so the
don't break our software"
World wide locations
In 2008: 1400 employees in six
locations in north America and Europe
Good idea and knowledge
developed in each location
the whole company would benefit from
sharing this knowledge
"how the company would do a better
job of sharing its cumulated
knowledge"
A public success story of worldwide
knowledge management
problem of information
connection
example: 9/11/2001
Performance of U.S. Intelligence
Community
"even though the system was blinking red before
9/11, no one could connect the dots"
[Mc Afee 2009]
U.S. Intelligence Community
16 agencies in 2001
Each agency had its own database
Stovepiped information / hub-and-spoke
January 2000
CIA investigations revealed that the suspected terrorists
Khalid al-Mihdhar and Nawaf al-Hazmi respectively held
a U.S. visa and had traveled to the U.S.
not shared with FBI
July 2001
FBI phoenix office wrote a memo
to the counterterrorism
"effort by Osama Bin Laden to send students to the US
to attend civil aviation universities and colleges"
July 5, 2001
Meeting with counterterrorism, FBI, Secret
Service, Coast Guard, Federal Aviation
Autorithy:
"Something really spectacular is going to happen
here, and it's going to happen soon"
July 2001
Mihdar arrived to the US
August 6, 2001
CIA analysts' daily brief to the President:
"Bin Laden determined to strike in U.S."
August 16, 2001
FBI Minneapolis office arrests Zacharias Moussaoui
having 747 training without basic plane knowledge.
Agents, citing the crime of
"Destruction of aircraft or aircraft facilities",
were refused a search warrant on its personal effects.
August 24, 2001
Midhar and Hamzi were added to the TIPOFF
watch list, which was intended terrorists from
entering the U.S.
9/11 commission report
"we propose that information be shared
horizontally, across new networks that
transcend individual agencies"
public successes of information
connection
business intelligence and the
wisdom of crowd
Example 3: prediction market
Iowa Electronic Market
applying the principles of stock market to
political elections
replacing securities by candidate
the price of the candidate is replaced by
predict percentage of vote
final result are close to the reality
the final error was of 1.49%!
Google prediction market
Application to technologies
can we use the diversity and the mass
of users to tackle the diversity and the
mass of information?
public success story of
use of the wisdom of
crowd
"The Intranet tends to follow trends
from the web, and social networking is
no exception"
[Nielsen Norman Group 2009]
"It's better to structure information
according to how people use it, rather
than what department owns it"
[Jakob Nielsen 2009]
In 2015, the generation Y, used to social
medias in their daily personal activities, will
represent 15% of the European population
and 40% of workers in France
a whole generation that will ease corporate
uses of social medias and that will probably
argue for it
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 softwares for connecting
people, documents and information
• explicit and declared relations
• interactions between actors
• affiliation between actors
Social links
colleague
communicate
skill
skill
web
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]
Keep email for its initial goal:
asynchronous discussions
Once consumed, information and
knowledge in email are lost forever.
release and connect it!
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 bookmarking:
• efficient search
• link formation
• collective intelligence
Wiki are efficient for collaboratively
editing document and creating a shared
documentation
Versioning
Accessing
Visibility
Persistent
Social networking services assist links
management
Managing contacts
Pushing / receiving
information
Interacting
Emergent social structure
Blogs offer to easily publish information
and knowledge
Sharing
Linking
News
Persistent
Social bookmarking enables employees
to collaboratively classify content
through a daily personal activity
Collecting
Classifying
Sharing
Emergent signals
Corporate acceptance problems
from
vertical information silos
to
horizontal information network
organizational chart vs emerging structure
companies have spent decades at limiting the
amount of information and collaborators each
employee has to handle, in order to optimize
individual performances.
confidentiality restriction
some companies face strong information
security and confidentiality restrictions and
cannot even if accept unexpected practices
and interactions in their processes
overwhelming flow of social data
users need help for preserving the
benefits of enterprise 2.0 software
in order to efficiently handle there social capital
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.
revealing
community
structure
Influences the way
information is shared
[Coleman 1988]
influences the way actors
behave [Burt 2000]
distribution of actors and activities
highlighting strategic resources
Degree centrality:
Local attention
beetweenness centrality:
reveal broker
"A place for good ideas"
[Burt 1992] [Burt 2004]
Closeness centrality:
Capacity to
communicate
[Freeman 1979]
transitivity of relationships
evaluating social opportunities
Peter Jack
Paul
Analyzing intranet of people
sound great! but… what for?
have your organizational chart benefits
from emerging social structure
maintain strong links
• Does your organizational chart take into
account emerging communities?
• highlight influent actors and popular
resources not yet revealed by your
organizational chart
strengthen weak links
reinforce valuable weak links that connect
relevant assets and opportunities
Identify structural gaps and
connect communities and people
that should collaborate
bridge
social
gaps
Open problem: using analysis metrics
to leverage social intranet usability
references
• A. McAfee: "Enterprise 2.0: New Collaborative
Tools For Your Organization's Toughest
Challenges". Harvard Business Press. (2009)
• R. S. Burt: "Structural holes. The Social Structure
of Competition". Harvard University Press. (1992)
• Lin, N.. "A network theory of social capital", In D.
Castiglione, J.W. van Deth, and G. Wolleb.
Handbook on Social Capital. Oxford University
Press. (2008)
name
Guillaume Erétéo
account
guillaume@ereteo.net
mail
mentorOf
mentorOf
organization
organization
manages
contributes
contributes answers
twitter.com/ereteog

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Social media - enterprise2.0 - course 2010 2011

  • 1. Enterprise 2.0: toward corporate social networks Guillaume ERETEO
  • 2. Organization have problems for connecting people, documents, information and knowledge
  • 3. knowledge management, sharing and accessibility example: vista print "we need to train our new people quickly so the don't break our software"
  • 4. World wide locations In 2008: 1400 employees in six locations in north America and Europe
  • 5. Good idea and knowledge developed in each location the whole company would benefit from sharing this knowledge
  • 6. "how the company would do a better job of sharing its cumulated knowledge"
  • 7. A public success story of worldwide knowledge management
  • 9. Performance of U.S. Intelligence Community "even though the system was blinking red before 9/11, no one could connect the dots" [Mc Afee 2009]
  • 10. U.S. Intelligence Community 16 agencies in 2001 Each agency had its own database Stovepiped information / hub-and-spoke
  • 11. January 2000 CIA investigations revealed that the suspected terrorists Khalid al-Mihdhar and Nawaf al-Hazmi respectively held a U.S. visa and had traveled to the U.S. not shared with FBI
  • 12. July 2001 FBI phoenix office wrote a memo to the counterterrorism "effort by Osama Bin Laden to send students to the US to attend civil aviation universities and colleges"
  • 13. July 5, 2001 Meeting with counterterrorism, FBI, Secret Service, Coast Guard, Federal Aviation Autorithy: "Something really spectacular is going to happen here, and it's going to happen soon"
  • 15. August 6, 2001 CIA analysts' daily brief to the President: "Bin Laden determined to strike in U.S."
  • 16. August 16, 2001 FBI Minneapolis office arrests Zacharias Moussaoui having 747 training without basic plane knowledge. Agents, citing the crime of "Destruction of aircraft or aircraft facilities", were refused a search warrant on its personal effects.
  • 17. August 24, 2001 Midhar and Hamzi were added to the TIPOFF watch list, which was intended terrorists from entering the U.S.
  • 18. 9/11 commission report "we propose that information be shared horizontally, across new networks that transcend individual agencies"
  • 19. public successes of information connection
  • 20. business intelligence and the wisdom of crowd Example 3: prediction market
  • 21. Iowa Electronic Market applying the principles of stock market to political elections
  • 22. replacing securities by candidate the price of the candidate is replaced by predict percentage of vote
  • 23. final result are close to the reality the final error was of 1.49%!
  • 25. can we use the diversity and the mass of users to tackle the diversity and the mass of information?
  • 26. public success story of use of the wisdom of crowd
  • 27. "The Intranet tends to follow trends from the web, and social networking is no exception" [Nielsen Norman Group 2009]
  • 28. "It's better to structure information according to how people use it, rather than what department owns it" [Jakob Nielsen 2009]
  • 29. In 2015, the generation Y, used to social medias in their daily personal activities, will represent 15% of the European population and 40% of workers in France a whole generation that will ease corporate uses of social medias and that will probably argue for it
  • 30. enterprise 2.0 "the use of emergent social software platforms within companies, or between companies and their partners or customers" [Mc Afee 2006]
  • 31. "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]
  • 32. intranet of people via @amcafee Search Links follow me @ereteog Authoring "read write web" Tags Extension see also Signals
  • 33. Social softwares for connecting people, documents and information
  • 34. • explicit and declared relations • interactions between actors • affiliation between actors Social links colleague communicate skill skill web
  • 35. the bull's eye of @amcafee • Strong links: close collaborators • Weak links professional acquaintances • Potential links: professional proximity • Absent relationships: remainder of the network
  • 36. Social capital "resources embedded in one's social networks, resources that can be accessed or mobilized through ties in the networks" [Lin 2008]
  • 37. Keep email for its initial goal: asynchronous discussions Once consumed, information and knowledge in email are lost forever. release and connect it!
  • 38. 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 bookmarking: • efficient search • link formation • collective intelligence
  • 39. Wiki are efficient for collaboratively editing document and creating a shared documentation Versioning Accessing Visibility Persistent
  • 40. Social networking services assist links management Managing contacts Pushing / receiving information Interacting Emergent social structure
  • 41. Blogs offer to easily publish information and knowledge Sharing Linking News Persistent
  • 42. Social bookmarking enables employees to collaboratively classify content through a daily personal activity Collecting Classifying Sharing Emergent signals
  • 43. Corporate acceptance problems from vertical information silos to horizontal information network
  • 44. organizational chart vs emerging structure companies have spent decades at limiting the amount of information and collaborators each employee has to handle, in order to optimize individual performances.
  • 45. confidentiality restriction some companies face strong information security and confidentiality restrictions and cannot even if accept unexpected practices and interactions in their processes
  • 46. overwhelming flow of social data
  • 47. users need help for preserving the benefits of enterprise 2.0 software in order to efficiently handle there social capital
  • 48. 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.
  • 49. revealing community structure Influences the way information is shared [Coleman 1988] influences the way actors behave [Burt 2000] distribution of actors and activities
  • 50. highlighting strategic resources Degree centrality: Local attention beetweenness centrality: reveal broker "A place for good ideas" [Burt 1992] [Burt 2004] Closeness centrality: Capacity to communicate [Freeman 1979]
  • 51. transitivity of relationships evaluating social opportunities Peter Jack Paul
  • 52. Analyzing intranet of people sound great! but… what for?
  • 53. have your organizational chart benefits from emerging social structure
  • 54. maintain strong links • Does your organizational chart take into account emerging communities? • highlight influent actors and popular resources not yet revealed by your organizational chart
  • 55. strengthen weak links reinforce valuable weak links that connect relevant assets and opportunities
  • 56. Identify structural gaps and connect communities and people that should collaborate bridge social gaps
  • 57. Open problem: using analysis metrics to leverage social intranet usability
  • 58. references • A. McAfee: "Enterprise 2.0: New Collaborative Tools For Your Organization's Toughest Challenges". Harvard Business Press. (2009) • R. S. Burt: "Structural holes. The Social Structure of Competition". Harvard University Press. (1992) • Lin, N.. "A network theory of social capital", In D. Castiglione, J.W. van Deth, and G. Wolleb. Handbook on Social Capital. Oxford University Press. (2008)

Editor's Notes

  1. Community detection helps understanding the global structure of a network and the distribution of actors and activities. Moreover, the community structure influences the way information is shared and the way actors behave. Information spread quickly in a community and is shared by most of it members.
  2. The centrality highlights the most important actors of the network and three definitions have been proposed by Freeman. The degree centrality considers nodes with the higher degrees (number of adjacent edges). The closeness centrality is based on the average length of the paths linking a node to others and reveals the capacity of a node to be reached. The betweenness centrality focuses on the capacity of a node to be an intermediary between any two other nodes. A network is highly dependent on actors with high betweenness centrality due to their position as intermediaries and brokers in information flow.