The graph represents a network of 8,697 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 October 2020 at 23:16 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 3-hour, 38-minute period from Saturday, 17 October 2020 at 20:22 UTC to Wednesday, 21 October 2020 at 00:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 8697
Unique Edges : 4463
Edges With Duplicates : 11948
Total Edges : 16411
Number of Edge Types : 5
Tweet : 818
Retweet : 5716
MentionsInRetweet : 7389
Mentions : 1488
Replies to : 1000
Self-Loops : 851
Reciprocated Vertex Pair Ratio : 0.00888230940044412
Reciprocated Edge Ratio : 0.0176082171680117
Connected Components : 1176
Single-Vertex Connected Components : 398
Maximum Vertices in a Connected Component : 3462
Maximum Edges in a Connected Component : 6886
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.18277
Graph Density : 0.000126155123968664
Modularity : 0.582686
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,697 Twitter users whose tweets in the requested range contained "(immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 October 2020 at 23:16 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 3-hour, 38-minute period from Saturday, 17 October 2020 at 20:22 UTC to Wednesday, 21 October 2020 at 00:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : (immigrant OR immigration) (COVID OR corona OR virus OR pandemic OR ill OR illness OR health OR doctor OR nurse)
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1337] voted,against [1337] against,treating [1337] treating,health [1013] health,car [1011] tories,doing [1011] doing,much [1011] much,bad [1011] bad,stuff [1011] stuff,hard [1011] hard,keep Top Word Pairs in Tweet in G1:
[968] tories,doing [968] doing,much [968] much,bad [968] bad,stuff [968] stuff,hard [968] hard,keep [968] keep,tonight [968] tonight,voted [968] voted,against [968] against,treating Top Word Pairs in Tweet in G2:
[57] health,care [36] joe,biden [34] trump,right [34] right,pandemic [34] pandemic,validates [34] validates,entire [34] entire,trump [34] trump,doctrine [34] doctrine,right [34] right,trade Top Word Pairs in Tweet in G3:
[76] covid,19 [40] health,care [17] immigration,health [16] illegal,immigration [14] during,pandemic [13] health,surcharge [13] mental,health [10] immigration,policy [10] climate,change [10] trump,administration Top Word Pairs in Tweet in G4:
[357] hike,petrol [357] petrol,price [357] price,education [357] education,phcn [357] phcn,bill [357] bill,inec [356] #reconstructnigeria,hike [356] inec,health [356] health,care [356] care,security Top Word Pairs in Tweet in G5:
[342] michelle,obama [342] obama,educated [342] educated,first [342] first,lady [342] lady,five [342] five,degrees [342] degrees,lawyer [342] lawyer,juris [342] juris,doctor [342] doctor,book Top Word Pairs in Tweet in G6:
[363] voted,against [363] against,treating [363] treating,health [326] tonight,conservatives [326] conservatives,voted [326] health,care [326] care,workers [326] workers,respect [326] respect,putting [326] putting,nhs Top Word Pairs in Tweet in G7:
[298] far,fewer [298] fewer,3x [298] 3x,married [298] married,2x [298] 2x,divorced [298] divorced,serial [298] serial,adulter [298] adulter,abortion [298] abortion,demanding [298] demanding,death Top Word Pairs in Tweet in G8:
[260] please,donate [260] donate,possible [260] possible,black [260] black,immigrant [260] immigrant,family [260] family,going [260] going,hard [260] hard,time [260] time,due [227] due,immigration Top Word Pairs in Tweet in G9:
[82] immigration,minister [79] acting,immigration [77] border,control [75] minister,alantudgemp [74] top,notch [74] notch,border [74] control,acting [74] alantudgemp,global [74] global,pandemic [73] kkeneally,top Top Word Pairs in Tweet in G10:
[238] immigration,really [238] really,matters [238] matters,many [238] many,#outland_pr_applications [238] #outland_pr_applications,delayed [215] delayed,deseve [140] marcomendicino,immigration [70] deseve,announcement [46] citimmcanada,immigration [43] travel,restrictions Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: