Tab. 1:  French online video market growth, Sep 2008 - Sep 2009
Tab. 2:  New modes of communication
Tab. 3:  US UGC consumers by content type in 2008
Tab. 4:  Main online advertising models
Tab. 5:  Breakdown of the global online advertising market by format, 2008-2012
Tab. 6:  The global online advertising market, 2008-2012
Tab. 7:  Revenue per user, December 2008
Tab. 8:  Examples of premium services marketed by Websites
Tab. 9:  Breakdown of major Internet player revenue in 2008
Tab. 10: Overall Web trends
Tab. 11: Major existing platforms on the Internet
Tab. 12: Data portability and platform interoperability solutions
Tab. 13: Comparison of the different approaches to the Semantic Web
Tab. 14: Examples of Semantic Web applications
Tab. 15: Example of companies positioned on semantic advertising
Tab. 16: Trends with mobile Internet services compared to fixed services
Tab. 17: Definitions of the opt-in and opt-out personal data collection modes

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Fig. 1: Evolution towards Web 3.0
Fig. 2: Correspondence between offline and online services
Fig. 3: Evolution of the Internet penetration from 2007 to 2009
Fig. 4:  Trends in time spent online in Europe and comparison with time spent watching TV
Fig. 5:  Internet activities in Europe in 2008
Fig. 6: Trends in monthly number of searches, August 2007 - July 2009
Fig. 7: US search market share, November 2009
Fig. 8:  Asia-Pacific search market share, September 2009
Fig. 9: Webmail users in the world, early 2009
Fig. 10: IM market share in US, France and China, July 2008
Figure 11: Penetration of different communication platforms
Figure 12: Part of e-commerce in the retail market
Figure 13: Part of online users who already bought online in the US and Europe
Figure 14: Products most commonly purchased online in the US in 2008
Figure 15: Content and entertainment activities in Europe in 2008
Figure 16: Global Internet activities in the world in 2008
Figure 17: Number of videos viewed online in the US, 2007-2009
Figure 18: Number of unique visitors to video sites in the US, 2007-2009
Figure 19: Percentage of US Internet users who have watched a video online, 2007-2009
Figure 20: Average time spent watching online videos in the US per viewer, 2007-2009
Figure 21: Leading video sites in the US by number of unique visitors, October 2009
Figure 22: Social networking growth by worldwide region
Figure 23: Monthly unique visitors on major social networks in the US
Figure 24: Reasons why US Internet users use social networking sites
Figure 25: US UGC creators and consumers (% of Internet users)
Figure 26: Percentage of Internet users, ages 16 to 54, who have ever done one of these activities, in selected countries, 2006-2008
Figure 27: Percentage of participatory visits compared to all Website visits in the US, May 2007
Figure 28:  Typology of French 15-29 Internet users, May 2008
Figure 29:  The social techno-graphic profile of US online adults, Q2 2008
Figure 30: B2C e-commerce revenues, 2006-2012
Figure 31: Social graph representations
Figure 32: Web users manage different separate identities online
Figure 33: OpenID, a single online identity
Figure 34: Facebook Connect
Figure 35: Description of MySpaceID
Figure 36: Social graph platform wars
Figure 37: Technical description of OpenSocial
Figure 38: Top applications and developers on Facebook in February 2010
Figure 39: Yahoo! Updates API
Figure 40: Example of a Dopplr member’s personal page
Figure 41: The Open Stack
Figure 42: Description of the Google Social Graph API
Figure 43: MySpace Interaction Ad
Figure 44: Examples of Facebook's ad initiatives to tape into its social graph
Figure 45: Traditional Amazon recommendations
Figure 46: What if Amazon implemented Facebook Connect?
Figure 47: Data-driven Web and cloud computing
Figure 48: Example of scene completion application 
Figure 49: Searching the deep Web
Figure 50: DPI overview
Figure 51: Google MapReduce and GFS principles
Figure 52: Comparison of Amazon bandwidth consumption
Figure 53: Yahoo!'s Internet-scale private cloud services
Figure 54: Microsoft Azure Services Platform
Figure 55: Evolution of the Web
Figure 56: From the Web of documents to the Semantic Web
Figure 57: Semantic Web Architecture
Figure 58: The RDF triple concept
Figure 59: Newssift search result page
Figure 60: Dynamic advertising based on semantic analysis
Figure 61: Example of structured information in Yahoo! search results
Figure 62: Information diffusion and impact
Figure 63: Twitter growth by age group
Figure 64: Mobile Internet active user penetration
Figure 65: Value chain and positioning of major players
Figure 66: Virtual world segmentation by average user age and number of active visitors
Figure 67: Example of brand engagement in the virtual world Habbo
Figure 68: Value chain for virtual worlds designed to be a source of revenue
Figure 69: Principles of the Internet of Things
Figure 70: Maturity for RFID and Internet of Things by vertical market
Figure 71: Evolution towards Web 3.0
Figure 72: Overall strategy for monetisation
Figure 73:  Google Dashboard 
Figure 74: Example of a Beacon update appearing in the News Feeds of a Facebook member’s contacts after she rated a video on the Blockbuster site
Figure 75:  The ‘like’ button by Facebook on Levi’s
Figure 76:  Managing privacy settings on Facebook (May 2010)
Figure 77:  Availability of personal data by default settings on Facebook, 2005 and 2010
Figure 78:  Last.fm's profile-based recommendations 
Figure 79:  BBC iPlayer's related content recommendations 
Figure 80:  Community-based recommendations on ContentWise
Figure 81:  Affinity, asocial networking recommendation engine for VOD content
Figure 82:  What if VOD service CanalPlay implemented social graph-based recommendations? 
Figure 83: Semantic Web and NG
Figure 84: SPICE 
Figure 85: Vodafone 360 phone address book
Figure 86: Recommendation service from Orange
Figure 87: Phorm principles
Figure 88: Phorm application