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Chris Shannon

World Map of top professional networks: Linkedin, Xing and Viadeo - Social Networks Ali... - 0 views

  • Xing, a public company, gets most of its traffic in Germany, which explains why it’s stopping support for other languages. 76% of its pageviews come from Germany and 90% from German-speaking countries (D-A-CH: Switzerland, Austria and Germany). According to Faber Novel, Xing had 5.3 million members in this region back in 2011 (now it has more than 6 million), while Linkedin had just 2 million.
  • While not being too open (its API is still much limited), Linkedin has adopted a more flexible strategy in which users can do more things without seeing a “Pay or leave” message.
  • Xing’s main source of revenues are premium members, to the point that it has more subscribers than Linkedin and bought Amiando to bring revenues from events
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  • 19% on Xing (specially in Germany) and 1% on Linkedin
  • Linkedin is betting on advertising as its main business, while 54% of its revenues are generated off-line. It’s true though that paid subscriptions are much more expensive on Linkedin (starting at 20$/month) than on Xing (5$/month).
  • The third network, Viadeo, is very well positioned in French-speaking countries. In Madagascar, Cameroon, Burkina Faso, France, Tunisia, Cote d’Ivoire and Morocco, it is among the Top 100 sites. In Algeria, Belgium and Switzerland it is among the top 500.
  • Japan is another relevant market in which none of the three big professional networks has broken in. While Linkedin only has 0,9 million members in Japan, there is a local social network which has some professional attributes, Mixi, with around 27 million members.
  • Besides, News Corporation, owner of The Wall Street Journal, is launching its own social network and instant messaging service for financial clients
  • In terms of premium members, 97% of them (786,000) are in the D-A-CH region.
ecwesche21

Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters | Pew Resea... - 0 views

  • Six structures are regularly observed: divided, unified, fragmented, clustered, and inward and outward hub and spoke structures.
  • Tight Crowd:
  • highly interconnected people with few isolated participants.
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  • Brand Clusters:
  • commentary from many disconnected participants
  • The larger the population talking about a brand, the less likely it is that participants are connected to one another. Brand-mentioning participants focus on a topic, but tend not to connect to each other.
  • they are relaying or passing along the message of the institution or person and there is no extra exchange of ideas
  • many people repeat what prominent news and media organizations tweet
  • popular topics may develop multiple smaller groups, which often form around a few hubs each with its own audience, influencers, and sources of information.
  • Global news stories often attract coverage from many news outlets, each with its own following. That creates a collection of medium-sized groups—and a fair number of isolates
  • diverse angles on a subject based on its relevance to different audiences, revealing a diversity of opinion and perspective on a social media topic.
  • Broadcast Network:
  • breaking news stories
  • Community Clusters:
  • The members of the Broadcast Network audience are often connected only to the hub news source, without connecting to one another.
  • Support Network:
  • hub and spoke structure
  • hub account replies to many otherwise disconnected users, creating outward spokes. In contrast, in the Broadcast pattern, the hub gets replied to or retweeted by many disconnected people, creating inward spokes.
  • Social media is increasingly home to civil society, the place where knowledge sharing, public discussions, debates, and disputes are carried out. As the new public square, social media conversations are as important to document as any other large public gathering.
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