
doi: 10.1109/ipsn.2008.48
Web-based social networks such as Linkedln, FaceBook and MySpace have gained wide popularity in recent years. With the advent of ubiquitous sensing, future social networks will be cyber-physical, combining measured elements of the physical world with manual human input. Microsoft SensorMap is an early example of a cyber-physical network in that it allows users to browse the physical world. In contrast to social networks, however, the main abstractions exported by SensorMap are those of physical objects (such as sensors), not people. This paper extends the concept of SensorMap to incorporate social entities such as individuals and special-interest communities to which they belong. In the extended network, called SenseWorld, SensorMap offers a geographical index into a cyber-physical social network with its own logical topology derived from social connections.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
