Web ranks & stats
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Social Media Report 2012
Social media is coming of age. Since the emergence of the first social media networks some two decades ago, social media has continued to evolve and offer consumers around the world new and meaningful ways to engage with the people, events and brands that matter to them. Now, years later, social media is still growing rapidly, becoming an integral part of our daily lives.Huge number of Web sites barely visited, report finds
Editor's Note: The following article is reprinted from TechWorld . The Internet, famously, has a long tail, but a new analysis has revealed another characteristic of this vast slew of obscure Web sites. Huge numbers of them are never visited. Analyzing visits to several million Web sites during the last quarter of 2009 for its State of the Web report (registration required), cloud security startup Zscaler created a Hilbert curve-generated "heatmap" of active and inactive IPv4 sites from real customer data.
Explore this interactive graphic to find out which are the biggest sites on the internet, as measured by the Nielsen company.
The top 100 sites on the internet
observatoire du web et monitoring gratuit - Homepage
Woozweb, observatoire du web et monitoring gratuit ! Woozweb est le premier Observatoire du Web. Woozweb est aussi un outil de monitoring haut de gamme, totalement gratuit.
Google - Internet Stats
This Google resource brings together the latest industry facts and insights. These have been collected from a number of third party sources covering a range of topics from macroscopic economic and media trends to how consumer behaviour and technology are changing over time.Trends Watch
David Belson is Akamai's Product Line Director for Custom Analytics & MCDN, responsible for the productization & commercialization of Akamai's custom data feed offerings. He was previously the Director of Market Intelligence, responsible for Analyst Relations, Competitive Analysis, and Corporate Evangelism.
State of the Internet - Official Akamai Internet Traffic Report
We study the structure and dynamics of Web traffic networks based on data from HTTP requests made by users at Indiana University. Gathering anonymized requests directly from the network rather than relying on server logs and browser instrumentation allows us to examine large volumes of traffic data while minimizing biases associated with other data sources. It also gives us valuable referrer information that we can use to reconstruct the subset of the Web graph actually traversed by users. Our Web traffic (click) dataset is available! Our goal is to develop a better understanding of user behavior online and creating more realistic models of Web traffic.