My Dear friends

This site not work anymore .I have a new site and you can go there visit me. I dont go put more post here anymore ... If you like this blog go there .. I will be there for you ... Olá meus queridos amigos ... agora tenho um novo blog Este site nao funcionará mais , tive alguns problemas. Agora tenho um novo endereco de blog. Nao irei mais colocar post neste blog .. Todas as atualizacoes e novidades estarao no outro endereco .. Acessem... estarei lá pra vcssss Se vcs gostaram desse blog irao amar o outro .. mais atualizado e lindo ... Vamos láaaa .... visitem-me lá .. Beijinhos Lili

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quarta-feira, 24 de fevereiro de 2010

Human behaviour '93 per cent predictable'

Location data from mobile phones has revealed that the vast majority of human movement is predictable

By Matt Warman, Consumer Technology Editor
Published: 4:51PM GMT 24 Feb 2010
Mobile phone data can be used to track locations Photo: Getty Images

Location data from mobile phones has indicated that 93 per cent of human movement is predictable. A study published by peer-reviewed journal Science examined anonymised data culled from mobile phone service providers and found that it was possible to accurately predict movement and location up to 97 per cent of the time for the majority of people, and 93 per cent of the time for the entire set of data.

The study also found that the majority of people did not stray outside a 6 mile radius for the bulk of the period investigated, and that at any one time people were 70 per cent likely to be at their most-visited location.
The study used date from mobile phones which were logged by networks at least once every two hours, and gave location information an accuracy of two square miles. Even for callers who travelled regularly over areas of hundreds of miles, data showed that their movements were predictable, indicating the travel patterns tend to be quite formulaic. Each user was found to visit an average of 63 places regularly.

Although the data might appear to confirm what people intuitively believe – that most days, most people go to work, go out and come home again, for instance – the researchers, from Boston, USA and China, believe that it could be useful for mobile networks’ data load management, city planning and anticipating the spread of viruses.

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