Metrics for characterizing network structure and node importance in Spatial Social Networks
ABSTRACT Social Network Analysis offers powerful tools to analyze the structure of
relationships between a set of people. However, the addition of spatial information poses …
relationships between a set of people. However, the addition of spatial information poses …
Decentralized geoprivacy: leveraging social trust on the distributed web
Despite several high-profile data breaches and business models that commercialize user
data, participation in social media networks continues to require users to trust corporations …
data, participation in social media networks continues to require users to trust corporations …
Challenges for social flows
Social and interpersonal connections are attached to the built environment: people require
physical infrastructure to meet and telecommunicate, and then populate these infrastructures …
physical infrastructure to meet and telecommunicate, and then populate these infrastructures …
Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality
As the essence of urban spatiotemporal interaction systems, hubs and centers empower
cities to enhance socioeconomic prosperity and sustainability. However, a city manifests a …
cities to enhance socioeconomic prosperity and sustainability. However, a city manifests a …
SNoMaN: a visual analytic tool for spatial social network mapping and analysis
Spatial social networks (SSNs) are node-link structures that evidence interpersonal or inter-
organizational relationships, where nodes and edges have a defined geographic location …
organizational relationships, where nodes and edges have a defined geographic location …
Social networks in space
All social interactions and social life take place somewhere. Institutions such as universities
or workplaces provide a meeting place for like-minded people and foster lifelong …
or workplaces provide a meeting place for like-minded people and foster lifelong …
Big Data (R) evolution in Geography: Complexity Modelling in the Last Two Decades
L Perez, R Sengupta - Geography Compass, 2024 - Wiley Online Library
The use of data and statistics along with computational systems heralded the beginning of a
quantitative revolution in Geography. Use of simulation models (Cellular Automata and …
quantitative revolution in Geography. Use of simulation models (Cellular Automata and …
Is your neighbor your friend? Scan methods for spatial social network hotspot detection
GIS analyses use moving window methods and hotspot detection to identify point patterns
within a given area. Such methods can detect clusters of point events such as crime or …
within a given area. Such methods can detect clusters of point events such as crime or …
Mapping research networks supported by the National Geographic Society through spatial social networks
Research is an interconnected global endeavor. Networks of research collaborations are
often using Social Networks Analysis. Its variant Spatial Social Networks allowing explicit …
often using Social Networks Analysis. Its variant Spatial Social Networks allowing explicit …
Tracking group movement in location based social networks
We study the problem of tracking the movement of groups using sparse trajectory data
extracted from Location Based Social Networks (LBSNs). Tracking group movement using …
extracted from Location Based Social Networks (LBSNs). Tracking group movement using …