This readme.txt file was generated on 2021-07-01 by José Manuel Galán

GENERAL INFORMATION
1. Title of Dataset: Dataset of the retailing location networks in the cities of Castile-Leon, Madrid and Barcelona 

2. Authorship: 
Name: Rosa María Sánchez-Saiz. 
Institution: Departamento de Ingeniería de Organización. Universidad de Burgos
Email: rsanchez@ubu.es
ORCID: https://orcid.org/0000-0001-7011-9195 

Name: Virginia Ahedo. 
Institution: Departamento de Ingeniería de Organización. Universidad de Burgos 
Email: vahedo@ubu.es
ORCID: https://orcid.org/0000-0002-9812-388X 

Name: José Ignacio Santos. 
Institution: Departamento de Ingeniería de Organización. Universidad de Burgos
Email: jisantos@ubu.es
ORCID:  https://orcid.org/0000-0002-6653-043X 

Name: Sergio Gómez. 
Institution: Departament d’Enginyeria Informàtica i Matemàtiques. Universitat Rovira i Virgili
Email: sergio.gomez@urv.cat
ORCID:  http://orcid.org/0000-0003-1820-0062 

Name: José Manuel Galán 
Institution: Departamento de Ingeniería de Organización. Universidad de Burgos. 
Email: jmgalan@ubu.es
ORCID: https://orcid.org/0000-0003-3360-7602


DESCRIPTION
1. Dataset language:
English 

2. Abstract:
The dataset is made up of eleven networks, one corresponding to each city (Madrid, Barcelona, Valladolid, Burgos, Salamanca, León, Palencia, Zamora, Ávila, Segovia and Soria). The nodes represent retail stores listed in the Yellow Pages. Each node contains the category code to which they are classified according to 68 codes of The North American Industry Classification System for small businesses (NAICS). There is a link between both nodes if the stores are within a linear distance of 100 meters. 

3. Keywords: 
Retailing, location, balanced tenancy, complex networks, community analysis, commercial structure.

4. Date of data collection
2017

5. Date of dataset publication
2021-07-01

6. Funding
The authors acknowledge financial support from the Spanish Ministry of Science, Innovation and Universities (excellence networks HAR2017-90883-REDC and RED2018-102518-T, and project PGC2018-094754-B-C21), the Junta de Castilla y León - Consejería de Educación through BDNS 425389 and the predoctoral grant awarded to Virginia Ahedo (supported by the European Social Fund), the Generalitat de Catalunya through grant 2017SGR-896 and the Universitat Rovira i Virgili through grant 2019PFR-URV-B2-41

7. Geographic location/s of data collection
Madrid, Barcelona, Valladolid, Burgos, Salamanca, León, Palencia, Zamora, Ávila, Segovia and Soria (Spain)

ACCESS INFORMATION
1. Dataset Creative Commons License:
CC BY-NC

2. Dataset DOI: 10.36443/10259/5585 (http://doi.org/10.36443/10259/5585)

3. Related publication
The related article has been sent to: Complex & Intelligent Systems

METHODOLOGICAL INFORMATION
1. Description of methods used for collection-generation of data: 
The retrieval of information was conducted during 2017 using Yellow Pages as the source of information from which the category and the address of each retailer were obtained. Addresses were georeferenced using the MapQuest Application, Open Street Map data and Google Maps API. The radius considered in all the analyses is 100m. The category of retailer was mapped to the 68 codes of The North American Industry Classification System for small businesses (NAICS). 

FILE OVERVIEW
1. File List: 

red2018-102518-T_avila.graphml 
red2018-102518-T_barcelona.graphml 
red2018-102518-T_burgos.graphml 
red2018-102518-T_leon.graphml 
red2018-102518-T_madrid.graphml 
red2018-102518-T_palencia.graphml 
red2018-102518-T_salamanca.graphml 
red2018-102518-T_segovia.graphml 
red2018-102518-T_soria.graphml 
red2018-102518-T_valladolid.graphml 
red2018-102518-T_zamora.graphml 

Short description: Each file is a graphml file of each city with the retail stores as nodes and an undirected and unweighted link between them if both stores are within a radius of 100m

DATA-SPECIFIC INFORMATION

Attibutes of nodes:
v_name is the label (string)
v_sector is the NAICS code (double)

red2018-102518-T_avila.graphml (# of Nodes: 1012; # of Edges: 6752; 461KB) 
red2018-102518-T_barcelona.graphml (# of Nodes: 33757; # of Edges: 669014; 40621KB)
red2018-102518-T_burgos.graphml (# of Nodes: 2382; # of Edges: 23600; 1515KB)
red2018-102518-T_leon.graphml (# of Nodes: 2156; # of Edges: 19933; 1293KB) 
red2018-102518-T_madrid.graphml (# of Nodes: 29836; # of Edges: 314424; 20672KB)
red2018-102518-T_palencia.graphml (# of Nodes: 1414; # of Edges: 11197; 742KB) 
red2018-102518-T_salamanca.graphml (# of Nodes: 2772; # of Edges: 28007; 1787KB)
red2018-102518-T_segovia.graphml (# of Nodes: 1221; # of Edges: 9095; 608KB) 
red2018-102518-T_soria.graphml (# of Nodes: 705; # of Edges: 5735; 374KB) 
red2018-102518-T_valladolid.graphml (# of Nodes: 3314; # of Edges: 22567; 1568KB)
red2018-102518-T_zamora.graphml (# of Nodes: 1124; # of Edges: 9798; 633KB)