Social media - enterprise2.0 - course 2010 2011


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • 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.
  • 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.
  • Social media - enterprise2.0 - course 2010 2011

    1. 1. Enterprise 2.0: toward corporate social networks Guillaume ERETEO
    2. 2. Organization have problems for connecting people, documents, information and knowledge
    3. 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. 4. World wide locations In 2008: 1400 employees in six locations in north America and Europe
    5. 5. Good idea and knowledge developed in each location the whole company would benefit from sharing this knowledge
    6. 6. "how the company would do a better job of sharing its cumulated knowledge"
    7. 7. A public success story of worldwide knowledge management
    8. 8. problem of information connection example: 9/11/2001
    9. 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. 10. U.S. Intelligence Community 16 agencies in 2001 Each agency had its own database Stovepiped information / hub-and-spoke
    11. 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. 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. 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"
    14. 14. July 2001 Mihdar arrived to the US
    15. 15. August 6, 2001 CIA analysts' daily brief to the President: "Bin Laden determined to strike in U.S."
    16. 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. 17. August 24, 2001 Midhar and Hamzi were added to the TIPOFF watch list, which was intended terrorists from entering the U.S.
    18. 18. 9/11 commission report "we propose that information be shared horizontally, across new networks that transcend individual agencies"
    19. 19. public successes of information connection
    20. 20. business intelligence and the wisdom of crowd Example 3: prediction market
    21. 21. Iowa Electronic Market applying the principles of stock market to political elections
    22. 22. replacing securities by candidate the price of the candidate is replaced by predict percentage of vote
    23. 23. final result are close to the reality the final error was of 1.49%!
    24. 24. Google prediction market Application to technologies
    25. 25. can we use the diversity and the mass of users to tackle the diversity and the mass of information?
    26. 26. public success story of use of the wisdom of crowd
    27. 27. "The Intranet tends to follow trends from the web, and social networking is no exception" [Nielsen Norman Group 2009]
    28. 28. "It's better to structure information according to how people use it, rather than what department owns it" [Jakob Nielsen 2009]
    29. 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. 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. 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. 32. intranet of people via @amcafee Search Links follow me @ereteog Authoring "read write web" Tags Extension see also Signals
    33. 33. Social softwares for connecting people, documents and information
    34. 34. • explicit and declared relations • interactions between actors • affiliation between actors Social links colleague communicate skill skill web
    35. 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. 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. 37. Keep email for its initial goal: asynchronous discussions Once consumed, information and knowledge in email are lost forever. release and connect it!
    38. 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. 39. Wiki are efficient for collaboratively editing document and creating a shared documentation Versioning Accessing Visibility Persistent
    40. 40. Social networking services assist links management Managing contacts Pushing / receiving information Interacting Emergent social structure
    41. 41. Blogs offer to easily publish information and knowledge Sharing Linking News Persistent
    42. 42. Social bookmarking enables employees to collaboratively classify content through a daily personal activity Collecting Classifying Sharing Emergent signals
    43. 43. Corporate acceptance problems from vertical information silos to horizontal information network
    44. 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. 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. 46. overwhelming flow of social data
    47. 47. users need help for preserving the benefits of enterprise 2.0 software in order to efficiently handle there social capital
    48. 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. 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. 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. 51. transitivity of relationships evaluating social opportunities Peter Jack Paul
    52. 52. Analyzing intranet of people sound great! but… what for?
    53. 53. have your organizational chart benefits from emerging social structure
    54. 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. 55. strengthen weak links reinforce valuable weak links that connect relevant assets and opportunities
    56. 56. Identify structural gaps and connect communities and people that should collaborate bridge social gaps
    57. 57. Open problem: using analysis metrics to leverage social intranet usability
    58. 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)
    59. 59. name Guillaume Erétéo account mail mentorOf mentorOf organization organization manages contributes contributes answers