WUD2010 Sophia 09 - G. Erétéo (Orange labs) : "Une tendance émergente : les réseaux sociaux"
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Technology
Education
WUD (World Usability Day 2010 à Sophia Antipolis organisé par Use Age)
Partie 09 - G. Erétéo (Orange labs) : "Une tendance émergente : les réseaux sociaux"
Plus d'infos en: http://www.use-age.org/journee-mondiale-de-l-utilisabilite/wud-2010
2. "The Intranet tends to follow trends
from the web, and social networking is
no exception"
[Nielsen Normal Group 2009]
3. "It's better to structure information
according to how people use it, rather
than what department owns it"
[Jakob Nielsen 2009]
4. enterprise 2.0
"the use of emergent social software platforms
within companies, or between companies and
their partners or customers" [Mc Afee 2006]
5. "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]
6. intranet of people
via @amcafee
Search
Links follow me @ereteog
Authoring "read write web"
Tags
Extension see also
Signals
7. Social Networks
A social network is made of actors (people,
organizations, group) that are tied by social links.
8. • explicit and declared relations
• interactions between actors
• affiliation between actors
Social links
colleague
communicate
skill
skill
web
9. the bull's eye of @amcafee
• Strong links: close
collaborators
• Weak links professional
acquaintances
• Potential links:
professional proximity
• Absent relationships:
remainder of the
network
10. Social capital
"resources embedded in one's social networks,
resources that can be accessed or mobilized
through ties in the networks" [Lin 2008]
11. 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
13. the user need help for efficiently
handling its social capital
and preserve the benefits of enterprise 2.0
14. 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.
17. 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]
"Il semble que le terme « masse critique » vienne d'une observation du trafic routier en Chine, où sans feux de signalisation aux croisements, les cyclistes attendent d'être assez nombreux, de faire masse pour s'engager et traverser ensemble. "
Le principe de masse critique dans un réseau social correspond à un niveau d'activité à partir duquel le réseau change d'état de manière permanente. Par exemple, à partir d'un certain nombre de personne et d'un volume d'activité minimale d'interaction, un groupe de personne devient une communauté d'intérêt.
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.