Paper Info
Title
LBSN Data and the Social Butterfly Effect (Vision Paper)
Abstract
LBSN data are well-suited for research questions and perspectives on social or spatial phenomena. Researchers often subset large LBSN datasets into different social networks (using snowball sampling), temporal or spatial granularities, to test for statistical patterns. Yet, researchers lack a way to examine how human interpersonal behavior results in digital traces of geolocated social events, although macro global flows of movement and communication are built from micro individual human intentions. To help navigate between the individual mind and the resultant big LBSN data that researchers use to understand society and space, I list a 14-tier scale of connectivity typologies. Each step can provide different a perspective of a single LBSN dataset. This scale can illustrate how perturbations at one level affect another level. E.g. How will reported escalating rates of autism affect the future network of connectivity between global cities? Will a change in migration policy strain emotional ties between an international family? The scale allows us to track changes at different levels between micro-, meso- and macro-scale social-spatial phenomena in a computationally-friendly way.
Year
DOI
Venue
2015
10.1145/2830657.2830658
LBSN@SIGSPATIAL/GIS
Field
DocType
Citations 
Data mining,Butterfly effect,World Wide Web,Social network,Interpersonal communication,Computer science,Interpersonal relationship,Macro,Snowball sampling
Conference
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Clio Andris11179.67