Science of Swarms

Coolhunting Through Swarm Creativity

We are introducing a new way for measuring the popularity of brand names and famous people such as movie stars, politicians, and business executives. It is based upon the premise that in today's Internet economy the Web displays a mirror of the real world. Our system measures popularity and influence of these brands and people by looking at their relative position on the Web. In principle, it is based on the simple insight: "You are who links to you". It applies the Social Network Analysis (SNA) metrics of betweenness centrality to the Web, looking at the linking structure of Web sites to find how Web sites are connected. Betweenness centrality of an person in a social network is an approximation for his or her influence. Basically, it looks at the number of shortest paths through the entire network, which pass through the person whose betweenness centrality is measured. As access to knowledge and information flow frequently are means to gain and hold on to power, the betweenness centrality of a person is a direct indication of an actor's influence.

We are now applying the same insight to the Web, looking at the linking structure between Web sites.

For example, we can look who among the 2008 US Presidential candidates is currently (August 2006) the most popular on the Web, generating the most buzz?

Latest from the Blog

Predicting the World Cup 2010 Winner — Recently I was giving a presentation about Coolhunting through Swarm Creativity at the CRM Forum in Zurich. As there was the Soccer World Championship at that time in South Africa, at the...… Read More

Predicting Stock Market Indicators Through Twitter "I hope it is not as bad as I fear" — We have been working on trying to predict market indicators for quite some time by analyzing Web Buzz, predicting who will win an Oscar, or how well movies do at the box...… Read More

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  • The MIT association is very reassuring, their approach was very methodical, confident, patient, helpful and encouraging. Outstanding team, focused, conceptually easy, quick at negotiating time and delays, great class, simple and user friendly despite the complex systems.
    Maggie Palazzolo, Research Coordinator
  • Excellent experience overall. Correspondence was kind, fast and helpful mostly via email; we suggested new features as needed and they were added quickly.
    Daniel Oster, Assistant to the CEO
  • There are many others who say they can do similar things, but I don't think they are actually capable. GalaxyAdvisors is different because many others don't use the social network methodology to learn what people are talking about.
    Daniel Oster, Assistant to the CEO
  • Very Unique. There are no others like them! We trust galaxyadvisors and feel that relationship is critical, as we are not social network analysis experts and need their help and understanding.
    Mirjam Hauser, GDI Analyst