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Social Sensing: A New Approach to Understanding Our Socioeconomic Environments
The emergence of big data brings new opportunities for us to understand our socioeconomic environments. We use the term social sensing for such individual-level big geospatial data and the associatedExpand
Ghost Cities Analysis Based on Positioning Data in China
TLDR
This study presents the spatial distribution of the vacant housing areas in China and classifies cities with a large vacant housing area as cities or tourism sites and detects and analyzed the ghost cities in China at such fine scale for the first time. Expand
Uncovering regional characteristics from mobile phone data: A network science approach
We introduce network science methods to uncover inherent characteristics of functional regions. An aggregate spatial interaction network is constructed based on a large mobile phone data setExpand
Migration and the Value of Social Networks
What is the value of a social network? Prior work suggests two distinct mechanisms that have historically been difficult to differentiate: as a conduit of information, and as a source of social andExpand
Geographical impacts on social networks from perspectives of space and place: an empirical study using mobile phone data
TLDR
It is found that people’s interaction is a more important factor than spatial proximity, indicating that the spatial factor has a stronger impact on social networks in place compared to that in space. Expand
Micro-Estimates of Wealth for all Low- and Middle-Income Countries
TLDR
The first micro-estimates of wealth and poverty that cover the populated surface of all 135 low and middle-income countries at 2.4km resolution are developed, built by applying machine learning algorithms to vast and heterogeneous data from satellites, mobile phone networks, topographic maps, as well as aggregated and de-identified connectivity data from Facebook. Expand
Human mobility patterns in different communities: a mobile phone data-based social network approach
TLDR
The results indicate that people’s commuting travel brings about spatial interaction between urban district and suburbs, and verify the hypothesis that the distance decay effect along with social phenomena such as the home–work separation contributes to the formation of different community distributions. Expand
A general approach to detecting migration events in digital trace data
TLDR
A novel and general approach to detecting migration events in trace data that more accurately reflect human understanding and evaluation of migration events, and provides more granular insight into migration spells and types than what are captured in standard survey instruments is developed. Expand
Understanding the effects of administrative boundary in sampling spatially embedded networks
TLDR
This study empirically analyzed the geographical boundary problem using a mobile communication network constructed based on mobile phone data collected in Heilongjiang province, China and finds that although many connections outside of the administrative boundary are lost, sampled networks based on administrative boundaries perform relatively well in terms of degree and clustering coefficient. Expand
Who Ties the World Together? Evidence from a Large Online Social Network
TLDR
Using several billion domestic and international Facebook friendships, this study explores in detail the relationship between international social ties and human mobility and suggests that long-term migration accounts for roughly 83% of international ties on Facebook. Expand
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