Title: | Data Sets for Keith McNulty's Handbook of Graphs and Networks in People Analytics |
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Description: | Data sets for network analysis related to People Analytics. Contains various data sets from the book 'Handbook of Graphs and Networks in People Analytics' by Keith McNulty (2021). |
Authors: | Keith McNulty [aut, cre] |
Maintainer: | Keith McNulty <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.1.9000 |
Built: | 2024-11-09 02:50:51 UTC |
Source: | https://github.com/keithmcnulty/onadata |
Network edgelist data as at the end of the Operation Caviar investigation into drug trafficking in Canada
caviar_end
caviar_end
A dataframe with 72 rows and 3 variables:
An individual under surveillance
An individual under surveillance
The number of intercepted communications between the individuals
caviar_end
caviar_end
Network edgelist data as at the middle of the Operation Caviar investigation into drug trafficking in Canada
caviar_middle
caviar_middle
A dataframe with 50 rows and 3 variables:
An individual under surveillance
An individual under surveillance
The number of intercepted communications between the individuals
caviar_middle
caviar_middle
Network edgelist data as at the start of the Operation Caviar investigation into drug trafficking in Canada
caviar_start
caviar_start
A dataframe with 26 rows and 3 variables:
An individual under surveillance
An individual under surveillance
The number of intercepted communications between the individuals
caviar_start
caviar_start
Extract of data on customers of a music sales company
chinook_customers
chinook_customers
A dataframe with 59 rows and 4 variables:
Customer ID number
Customer First Name
Customer Last Name
ID of Sales Rep assigned to customer
chinook_customers
chinook_customers
Extract of data on employees of a music sales company
chinook_employees
chinook_employees
A dataframe with 8 rows and 4 variables:
Employee ID number
Employee First Name
Employee Last Name
ID of Employee who they report to
chinook_employees
chinook_employees
Extract of data on customer invoices from a music sales company
chinook_invoices
chinook_invoices
A dataframe with 412 rows and 2 variables:
Invoice ID number
CustomerID number
chinook_invoices
chinook_invoices
Extract of data on items sold by a music sales company
chinook_items
chinook_items
A dataframe with 2240 rows and 2 variables:
ID number of invoice containing the item
ID number of the item
chinook_items
chinook_items
Edgelist of network of frequent interaction between bottlenose dolphins in Doubtful Sound, New Zealand
dolphins
dolphins
A dataframe with 159 rows and 2 variables:
Dolphin ID
Dolphin ID
dolphins
dolphins
Edgelist of network of email communications at a large European research institution
email_edgelist
email_edgelist
A dataframe with 24929 rows and 2 variables:
ID of sender
ID of receiver
email_edgelist
email_edgelist
Vertex data of network of email communications at a large European research institution
email_vertices
email_vertices
A dataframe with 1005 rows and 2 variables:
Vertex ID of individual
Department of individual
email_vertices
email_vertices
Data on voting in the UK EU membership referendum in 2016
eu_referendum
eu_referendum
A dataframe with 382 rows and 4 variables:
UK Region
UK Area Code
Number of votes to remain in the EU
Number of votes to leave the EU
eu_referendum
eu_referendum
Edgelist of network of characters of US TV Show Friends based on appearing in the same scene
friends_tv_edgelist
friends_tv_edgelist
A dataframe with 2976 rows and 3 variables:
Friends character
Friends character
Number of scenes with both characters
friends_tv_edgelist
friends_tv_edgelist
Edgelist of small network of 14 vertices
g14_edgelist
g14_edgelist
A dataframe with 18 rows and 3 variables:
Vertex ID
Vertex ID
Edge weight
g14_edgelist
g14_edgelist
Edgelist of network of social interactions between members of a karate club
karate
karate
A dataframe with 78 rows and 2 variables:
Member ID
Member ID
karate
karate
Edgelist of network of places connected by bridges in the city of Koenigsberg
koenigsberg
koenigsberg
A dataframe with 7 rows and 2 variables:
Place name
Place name
koenigsberg
koenigsberg
Edgelist of network of characters in Victor Hugo's Les Miserables based on appearance in the same chapter
lesmis
lesmis
A dataframe with 254 rows and 3 variables:
Character name
Character name
Number of chapters both characters appear in
lesmis
lesmis
Edgelist of network of London Tube/Underground stations
londontube_edgelist
londontube_edgelist
A dataframe with 406 rows and 4 variables:
Station ID
Station ID
Name of line connecting stations
Official color of line connecting stations
londontube_edgelist
londontube_edgelist
Vertices of network of London Tube/Underground stations
londontube_vertices
londontube_vertices
A dataframe with 302 rows and 4 variables:
Station ID
Station name
Station latitude
Station longitude
londontube_vertices
londontube_vertices
Edgelist of network of romantic relationships between characters of the TV show Mad Men
madmen_edges
madmen_edges
A dataframe with 39 rows and 3 variables:
Character name
Character name
Whether the relationship was part of a marriage
madmen_edges
madmen_edges
Vertices of network of romantic relationships between characters of the TV show Mad Men
madmen_vertices
madmen_vertices
A dataframe with 45 rows and 3 variables:
Character name
Character gender
Whether the character is a main character
madmen_vertices
madmen_vertices
Edgelist of network of academic collaboration between network scientists
netscience
netscience
A dataframe with 2742 rows and 3 variables:
Scientist name
Scientist name
Measure of strength of collaboration
netscience
netscience
Edgelist of Twitter interaction network of Ontario province politicians
ontariopol_edgelist
ontariopol_edgelist
A dataframe with 6095 rows and 3 variables:
Politician ID
Politician ID
Number of Twitter interactions
ontariopol_edgelist
ontariopol_edgelist
Vertices of Twitter interaction network of Ontario province politicians
ontariopol_vertices
ontariopol_vertices
A dataframe with 108 rows and 4 variables:
Politician ID
Politician Twitter screen name
Politician name
Party affiliation
ontariopol_vertices
ontariopol_vertices
Data on Yelp reviews of dog parks in Phoenix, AZ
park_reviews
park_reviews
A dataframe with 231 rows and 4 variables:
Park ID
User ID
Park name
Number of stars awarded by user
park_reviews
park_reviews
Data on altruistic acts by Reddit users fulfiling random requests for pizza
pizza
pizza
A dataframe with 400 rows and 5 variables:
ID of the requester
ID of the individual who responded by ordering pizza for the requester
ID of the request
Number of Reddit votes made by the requester
Number of subreddits which the requester is a member of
pizza
pizza
Edgelist of friend network of teenage girls in Scotland
s50_edges
s50_edges
A dataframe with 122 rows and 2 variables:
Person ID
Person ID
s50_edges
s50_edges
Vertices of friend network of teenage girls in Scotland
s50_vertices
s50_vertices
A dataframe with 50 rows and 5 variables:
Person ID
Frequency of smoking from 1 (Never) to 3 (Regularly)
Frequency of drinking alcohol from 1 (Never) to 5 (More than once a week)
Frequency of cannabis use from 1 (Never) to 4 (Regularly)
Frequency of sporting activity from 1 (Not regularly) to 2 (Regularly)
s50_vertices
s50_vertices
Edgelist of network of schoolfriends in a French high school
schoolfriends_edgelist
schoolfriends_edgelist
A dataframe with 2105 rows and 3 variables:
Person ID
Person ID
Whether the friendship is a known Facebook connection or if it was reported by from
person
schoolfriends_edgelist
schoolfriends_edgelist
Vertices of network of schoolfriends in a French high school
schoolfriends_vertices
schoolfriends_vertices
A dataframe with 329 rows and 3 variables:
Person ID
School class of person
Gender of person
schoolfriends_vertices
schoolfriends_vertices
Edgelist of network of votes for Wikipedia administrators
wikivote
wikivote
A dataframe with 103688 rows and 2 variables:
ID of voter
ID of vote recipient
wikivote
wikivote
Edgelist of network of interactions between people in a French office building based on location sensor technology
workfrance_edgelist
workfrance_edgelist
A dataframe with 932 rows and 3 variables:
Person ID
Person ID
Number of minutes spent co-located
workfrance_edgelist
workfrance_edgelist
Vertices of network of interactions between people in a French office building based on location sensor technology
workfrance_vertices
workfrance_vertices
A dataframe with 211 rows and 2 variables:
Person ID
Department of person
workfrance_vertices
workfrance_vertices