activity
20142020
most citedDAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling

15 citations · 32 across the 7 of their papers we have counts for

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Showing cs.SIShow all

5 papers · 1 filter

cs.SI2017

Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data

Junjun Yin, Aiman Soliman, Dandong Yin +1

Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. Defining urban boundaries that consider socio-economic re…

cs.SI2016★ 1 cited

Consistency of Social Sensing Signatures Across Major US Cities

Aiman Soliman, Kiumars Soltani, Anand Padmanabhan +1

Previous studies have shown that Twitter users have biases to tweet from certain locations, locational bias, and during certain hours, temporal bias. We used three years of geoloca…

cs.SI2015★ 4 cited

Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users

Aiman Soliman, Junjun Yin, Kiumars Soltani +2

Recent studies on human mobility show that human movements are not random and tend to be clustered. In this connection, the movements of Twitter users captured by geo-located tweet…

cs.SI2015★ 4 cited

Urban spatial-temporal activity structures: a New Approach to Inferring the Intra-urban Functional Regions via Social Media Check-In Data

Ye Zhi, Yu Liu, Shaowen Wang +3

Most existing literature focuses on the exterior temporal rhythm of human movement to infer the functional regions in a city, but they neglects the underlying interdependence betwe…

cs.SI2014★ 8 cited

A Scalable Framework for Spatiotemporal Analysis of Location-based Social Media Data

Guofeng Cao, Shaowen Wang, Myunghwa Hwang +3

In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharin…