Place is a concept that can hardly be formally captured at the moment, as it is unclear how
instances of places can formally be represented and how conclusions about places can …

Urban street networks derive their complexity not only from their hierarchical structure, but
also from their tendency to simultaneously exhibit properties of both grid-like and tree-like …

Maps, like other types of extensive data collections, are usually created and maintained by a
larger number of individuals. The number of individuals using the map is even larger in most …

Abstract Background: Rhus chinensis Mill is a traditional Chinese medicine (TCM) mostly
used to treat several cancer types. Although previous studies have found that certain …

The abundance of massive network data in a plethora of applications makes scalable
analysis algorithms and software tools necessary to generate knowledge from such data in …

Few laws about geographical information are known, partly because geographical
information is inherently complex. Tobler's first law of Geography and, to a lesser degree …

People share data in different ways. Many of them contribute on a voluntary basis, while
others are unaware of their contribution. They have differing intentions, collaborate in …

The naïve algorithm for generating nearest-neighbour models determines the distance
between every pair of nodes, resulting in quadratic running time. Such time complexity is …

In every network, a distance between a pair of nodes can be defined as the length of the
shortest path connecting these nodes, and therefore one may speak of a ball, its volume …

Street networks have been examined in respect to their structure [1, 2, 3, 4]. The author of
this paper has previously examined networks from various domains, thereby demonstrating …