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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Data and Code for the paper 'Indication of long-range correlations governing city size'

Authors: Li, Yunfei;

Data and Code for the paper 'Indication of long-range correlations governing city size'

Abstract

Summary This repository contains the preprocessed data necessary for constructing the city network as described in the related paper, as well as the code to do the Shortest-path Fluctuation Analysis (SFA) on those networks. Under the data folder In the Node_list folder, each CSV file has the name convention like AL_1000_node_list.csv, for example, this means the table contains the list of nodes that make up the network for Austria (as country code, AL) at the spatial clustering distance threshold of 1000m. The table has 3 columns with column names, and without row names. Each row in the table is a record of one node, the node ID is the row_id of the record in the table, the first record has a row_id of 0. The first column in the table is the X coordinate of the mass center of the node. The second column in the table is the Y coordinate of the mass center of the node. The third column in the table is the Size of the node, i.e., the number of pixels of this city. In the Edge_list folder, each TXT file has the name convention like AL_1000_edges.txt, for example, this means the table contains the list of edges that make up the network for Austria (as country code, AL) at the spatial clustering distance threshold of 1000m. The table has 2 columns without column name, without row name. Each row in the table is a record of one edge that is composed of a pair of nodes, the node ID is the row_id of that node in the node_list table. The first column in the table is the ID of the node on one side of an edge. The second column in the table is the ID of the node on the other side of an edge. Under the code folder The SFA_args_LSPT_out.cpp file contains the C++ code to do the SFA calculation, detailed information can be found in the documentation of the code file. The SFA_config.ini file contains some configuration parameters for running the compiled program, details can also be found in the file. This file has to be put in the same folder as the compiled executable file.

Keywords

long-range correlations, city size, regional development, Complex analysis, spatial network

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average