The graph represents a network of 9,052 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, 09 September 2020 at 23:06 UTC.
The requested start date was Wednesday, 09 September 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, 20-hour, 23-minute period from Saturday, 05 September 2020 at 03:36 UTC to Wednesday, 09 September 2020 at 00:00 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 : 9052
Unique Edges : 5730
Edges With Duplicates : 11609
Total Edges : 17339
Number of Edge Types : 5
Retweet : 5554
MentionsInRetweet : 8160
Replies to : 981
Tweet : 979
Mentions : 1665
Self-Loops : 1004
Reciprocated Vertex Pair Ratio : 0.00667620410109681
Reciprocated Edge Ratio : 0.0132638559924207
Connected Components : 1311
Single-Vertex Connected Components : 459
Maximum Vertices in a Connected Component : 2310
Maximum Edges in a Connected Component : 4640
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.121013
Graph Density : 0.000128830035797052
Modularity : 0.608715
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,052 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, 09 September 2020 at 23:06 UTC.
The requested start date was Wednesday, 09 September 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, 20-hour, 23-minute period from Saturday, 05 September 2020 at 03:36 UTC to Wednesday, 09 September 2020 at 00:00 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:
[951] covid,19 [927] immigrant,family [919] black,immigrant [917] please,donate [917] donate,possible [917] possible,black [917] family,going [917] going,hard [917] hard,time [917] time,due Top Word Pairs in Tweet in G1:
[917] please,donate [917] donate,possible [917] possible,black [917] black,immigrant [917] immigrant,family [917] family,going [917] going,hard [917] hard,time [917] time,due [450] due,immigratio Top Word Pairs in Tweet in G2:
[66] health,care [59] illegal,immigration [33] covid,19 [28] care,plan [21] caused,pandemic [18] immigration,sanctuary [18] sanctuary,cities [18] pandemic,validates [18] validates,entire [18] entire,trump Top Word Pairs in Tweet in G3:
[103] covid,19 [32] health,care [26] during,pandemic [20] mental,health [17] #immigration,#globalmobility [15] stop,detaining [15] 19,pandemic [14] illegal,immigration [12] illegal,immigrant [12] immigration,status Top Word Pairs in Tweet in G4:
[244] during,pandemic [170] immigrant,communities [170] communities,deserve [170] deserve,better [170] better,denied [170] denied,testing [170] testing,treatment [170] treatment,during [169] aclu,immigrant [149] aclu,damary Top Word Pairs in Tweet in G5:
[216] today,tax [216] tax,paying [216] paying,law [216] law,abiding [216] abiding,skilled [216] skilled,immigrant [216] immigrant,families [216] families,fl [216] fl,streets [216] streets,protesting Top Word Pairs in Tweet in G6:
[51] farrukh,sair [51] sair,nhs [51] nhs,engineer [51] engineer,lived [51] lived,uk [51] uk,17 [51] 17,years [51] years,worked [51] worked,nhs [51] nhs,covid Top Word Pairs in Tweet in G7:
[212] monday,checklist [212] checklist,need [212] need,public [212] public,servants [212] servants,level [212] level,american [212] american,government [212] government,treat [212] treat,immigrant [211] cooperhefner,monday Top Word Pairs in Tweet in G8:
[24] covid,19 [14] apparently,need [14] need,ubi [14] ubi,automation [14] automation,replacing [14] replacing,many [14] many,jobs [14] jobs,unemployment [14] unemployment,high [14] high,mass Top Word Pairs in Tweet in G9:
[90] somali,immigrant [90] immigrant,slaughtered [90] gay,men [89] somali,mmigrant [89] mmigrant,responsible [89] responsible,multiple [89] multiple,stabbings [89] stabbings,birmingham [89] birmingham,covid19 [89] covid19,somali Top Word Pairs in Tweet in G10:
[147] given,pandemic [147] pandemic,pritipatel [147] pritipatel,allow [147] allow,those [147] those,arrived [147] arrived,united [146] hk_watch,given [146] united,kingdom [146] kingdom,before [146] before,22 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: