2016
DOI: 10.1016/j.amc.2016.06.036
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: The Adapted PageRank Algorithm (APA) proposed by Agryzkov et al. provides us a method to establish a ranking of nodes in an urban network. We can say that it constitutes a centrality measure in urban networks, with the main characteristic that is able to consider the importance of data obtained from the urban networks in the process of computing the centrality of every node. Starting from the basic idea of this model, we modify the construction of the matrix used for the classification of the nodes in order of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
10

Relationship

3
7

Authors

Journals

citations
Cited by 23 publications
(16 citation statements)
references
References 27 publications
(21 reference statements)
0
15
0
1
Order By: Relevance
“…These approaches ignore many urban geographical phenomena associated with human activities that occur on or along the road network (e.g., points of interest, traffic crashes and street crime). In the real world, the movement in urban space is usually constrained by a dense network and the characteristic of street centrality has a large influence on the urban environment [6][7][8]. Thus, refining the scope of pick-up events' hotspot patterns to a 1D network space is necessary.…”
Section: Introductionmentioning
confidence: 99%
“…These approaches ignore many urban geographical phenomena associated with human activities that occur on or along the road network (e.g., points of interest, traffic crashes and street crime). In the real world, the movement in urban space is usually constrained by a dense network and the characteristic of street centrality has a large influence on the urban environment [6][7][8]. Thus, refining the scope of pick-up events' hotspot patterns to a 1D network space is necessary.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, new studies have been developed on the subject of centrality in various types of complex networks, as well as networks with data [27][28][29]. In [27], the authors propose a new centrality measure (called Adapted PageRank Algorithm -APA-) which main contribution is to establish a ranking of nodes, from the point of view of the topology and the data associated to the nodes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, these conventional centrality metrics measure the importance of nodes by considering only the network topology regardless of the intrinsic information on these nodes such as their behaviour, type or some other, domain-specific attribute. Since many kinds of real-world networks call for such node attributes, several centrality measures have recently been proposed extending the widely used centrality measures to accommodate node attributes [17][18][19]. This becomes especially relevant in urban modelling, as locations in a city possess quantitative and qualitative characteristics irrespective of the connectivity structure of the network of interactions with other locations.…”
Section: Introductionmentioning
confidence: 99%