Predicting gentrification through social networking data 13 April 2016 Data from location-based social networks may be able to predict when a neighbourhood will go through the process of gentrification, by identifying areas with high social diversity and high deprivation. The first network to look at the interconnected nature of people and places in large cities is not only able to quantify the social diversity of a particular place, but can also be used to predict when a neighbourhood will go through the process of gentrification, which is associated with the displacement of residents of a deprived area by an influx of a more affluent population. The researchers behind the study, led by the University of Cambridge, include Dr Mirco Musolesi (UCL Geography) and colleagues from the Universi
来源(Source From): http://www.ucl.ac.uk/news/news-articles/0416/13042016-predicting-gentrification-through-social-networking-data