Friendlee: A Mobile Application for Your Social Life
We have designed and implemented Friendlee, a mobile social networking application for close relationships. Friendlee analyzes the user’s call and messaging activity to form an intimate network of the user’s closest social contacts while providing ambient awareness of the user’ social network in a compelling, yet non-intrusive manner.
To appear in Proceedings of the MobileHCI Conference 2009
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The Interactorium
Part of the New South Wales Systems Biology Initiative, the Interactorium is a platform built to visualize very large interactome datasets. It was developed in collaboration with the School of Computer Science and Engineering at the University of New South Wales, and adapted from the Skyrails Visualisation Engine, originally developed by Yose Widjaja and previously featured on VC.
The Interactorium works as an atlas of known protein-protein interactions, responsible for inumerous biological functions and of central importance for virtually every process in a living cell. The current distribution uses the yeast protein-protein interaction dataset by Bertin et al.
On the project's site you can see a video of the visualization engine, or download it and run the application locally.
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GeoDome
GeoDome is an outstanding visual analysis technology by The Elumenati. It enables audiences to interactively navigate through beautifully rendered visualizations of scientific data, working collaboratively. By immersively presenting complex concepts in an easy-to-understand visual context, it provides transformative experiences for learners of all ages.
When in Asheville to attend HATCH in mid-April 2009, I had the chance to see one of the portable immersive domes up-close (or from within to be more precise) and I must say it was a unique and stimulating experience. Anyone passionate about Data Visualization would be fired up by witnessing the capabilities of the system and wonder on its future developments. Used mostly as an educational tool, the technology has a massive potential and can incorporate a variety of geo-based datasets. Producing mesmerizing flythroughs across Earth and the Cosmos, in a series of interactive Powers of Ten, it has been used for a variety of clients, including Nasa, NOAA, American Museum of Natural History, Cirque du Soleil, amongst others.
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The Remotest place on Earth
On April 18th 2009, the New Scientist published a remarkable article on a project developed by researchers at the European Commission's Joint Research Centre in Ispra, Italy, and the World Bank. The authors combined a series of maps to create a new map of connectedness showing the most interconnected and remote places on earth.
The maps are based on a model which calculated how long it would take to travel to the nearest city of 50,000 or more people by land or water. The model combines information on terrain and access to road, rail and river networks. It also considers how factors such as altitude, steepness of terrain and hold-ups like border crossings slow travel.
Plotted onto a map, the results throw up surprises. First, less than 10 per cent of the world's land is more than 48 hours of ground-based travel from the nearest city. What's more, many areas considered remote and inaccessible are not as far from civilisation as you might think. In the Amazon, for example, extensive river networks and an increasing number of roads mean that only 20 per cent of the land is more than two days from a city - around the same proportion as Canada's Quebec province.
The maps were created to show how the distribution of people affects their access to resources such as education and medical care, and how we are increasingly pushing wildlife out of even the wildest corners of our planet.
The first image shows the final map of connectedness while the second image shows a zoomed view over the world's most remote place: the Tibetan plateau. From here, says Andy Nelson, a former researcher at the European Commission, it is a three-week trip to the cities of Lhasa or Korla - one day by car and the remaining 20 on foot. Rough terrain and an altitude of 5200 metres make this the most secluded place on earth.
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Inferring Preference Correlations from Social Networks
Identifying consumer preferences is a key challenge in customizing electronic commerce sites to individual users. The increasing availability of online social networks provides one approach to this problem: people linked in these networks often share preferences, allowing inference of interest in products based on knowledge of a consumer's network neighbors and their interests. This paper evaluates the benefits of inference from online social networks in two contexts: a random graph model and a web site allowing people to both express preferences and form distinct social and preference links. We determine conditions on network topology and preference correlations leading to extended clusters of people with similar interests. Knowledge of when such clusters occur improves the usefulness of social network-based inference for identifying products likely to interest consumers based on information from a few people in the network. Such estimates could help sellers design customized bundles of products and improve combinatorial auctions for complementary products.
To appear in Electronic Commerce Research and Applications special issue on Social Networks.
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