activity
20152018
most citedCharacterizing the Heterogeneity of the OpenStreetMap Data and Community

55 citations · 178 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2018★ 27 cited

Why Topology Matters in Predicting Human Activities

Ding Ma, Itzhak Omer, Toshihiro Osaragi +2

Geographic space is better understood through the topological relationship of the underlying streets (note: entire streets rather than street segments), which enables us to see sca…

math.GM2018★ 7 cited

A Smooth Curve as a Fractal Under the Third Definition

Ding Ma, Bin Jiang

It is commonly believed in the literature that smooth curves, such as circles, are not fractal, and only non-smooth curves, such as coastlines, are fractal. However, this paper dem…

physics.data-an2017★ 20 cited

How Complex Is a Fractal? Head/tail Breaks and Fractional Hierarchy

Bin Jiang, Ding Ma

A fractal bears a complex structure that is reflected in a scaling hierarchy, indicating that there are far more small things than large ones. This scaling hierarchy can be effecti…

nlin.AO2016★ 10 cited

A Socio-geographic Perspective on Human Activities in Social Media

Ding Ma, Mats Sandberg, Bin Jiang

Location-based social media make it possible to understand social and geographic aspects of human activities. However, previous studies have mostly examined these two aspects separ…

physics.soc-ph2016★ 42 cited

Spatial Distribution of City Tweets and Their Densities

Bin Jiang, Ding Ma, Junjun Yin +1

Social media outlets such as Twitter constitute valuable data sources for understanding human activities in the virtual world from a geographic perspective. This paper examines spa…

cs.SI2015★ 55 cited

Characterizing the Heterogeneity of the OpenStreetMap Data and Community

Ding Ma, Mats Sandberg, Bin Jiang

OpenStreetMap (OSM) constitutes an unprecedented, free, geographic information source contributed by millions of individuals, resulting in a database of great volume and heterogene…