The graph represents a network of 6,445 Twitter users whose recent tweets 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, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 23:11 UTC.
The tweets in the network were tweeted over the 1845-day, 8-hour, 10-minute period from Friday, 23 February 2018 at 15:47 UTC to Tuesday, 14 March 2023 at 23:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6445
Unique Edges : 3399
Edges With Duplicates : 10415
Total Edges : 13814
Number of Edge Types : 9
Replies to : 1485
MentionsInReplyTo : 3095
Tweet : 692
Retweet : 3548
MentionsInRetweet : 4475
Mentions : 361
MentionsInQuote : 37
Quote : 87
MentionsInQuoteReply : 34
Self-Loops : 947
Reciprocated Vertex Pair Ratio : 0.0330245670559807
Reciprocated Edge Ratio : 0.0639376218323587
Connected Components : 878
Single-Vertex Connected Components : 225
Maximum Vertices in a Connected Component : 2287
Maximum Edges in a Connected Component : 5548
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.821957
Graph Density : 0.000185280694835111
Modularity : 0.545746
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,445 Twitter users whose recent tweets 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, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 23:11 UTC.
The tweets in the network were tweeted over the 1845-day, 8-hour, 10-minute period from Friday, 23 February 2018 at 15:47 UTC to Tuesday, 14 March 2023 at 23:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[881] born,overseas [880] uk,population [879] 28,nhs [879] nhs,doctors [878] overseas,28 [878] 14,uk [878] population,born [867] nhs,14 [866] immigrants,swamp [866] swamp,nhs Top Word Pairs in Tweet in G1:
[807] born,overseas [806] nhs,doctors [806] population,born [806] overseas,28 [806] swamp,nhs [806] immigrants,swamp [806] nhs,14 [806] uk,population [806] 14,uk [806] 28,nhs Top Word Pairs in Tweet in G2:
[286] nightmares,government [286] lives,health [286] mandates,gas [286] aspect,lives [286] government,daddy [286] daddy,control [286] two,years [286] over,aspect [286] biden,nightmares [286] control,over Top Word Pairs in Tweet in G3:
[19] people,antivaxxers [19] straight,labelling [19] spreading,disease [19] labelling,people [19] re,spreading [19] saying,re [19] antivaxxers,saying [16] disease,segregating [14] segregating,soci [14] deadferrets,straight Top Word Pairs in Tweet in G4:
[36] 23,billion [36] health,system [35] system,23 [34] american,health [34] costs,american [27] billion,year [25] migration,costs [25] illegal,migration [22] report,illegal [17] health,care Top Word Pairs in Tweet in G5:
[194] megyn,kelly [194] dr,jill [194] brigitte,gabriel [194] gabriel,megyn [194] doctor,education [194] referred,doctor [194] question,dr [194] jill,biden [194] doctor,doctor [194] biden,referred Top Word Pairs in Tweet in G6:
[155] chatting,couple [155] february,chatting [155] lanzarote,february [155] retired,teacher [155] holiday,lanzarote [155] teacher,nurse [155] middlesbrough,retired [155] couple,middlesbrough [154] nurse,th [154] laverty_bryan,holiday Top Word Pairs in Tweet in G7:
[220] home,resting [220] house,night [220] immigrant,black [220] pregnant,immigrant [220] black,mother [220] mother,house [220] ve,home [220] night,ve [132] uwitmeorwhat,pregnant [79] fentyheat,pregnant Top Word Pairs in Tweet in G8:
[165] re,more [140] london,re [140] much,solidarity [140] fund,nhs [140] nhs,stop [140] gary,lineker [140] stop,privatisation [140] privatisation,march [140] march,london [140] solidarity,gary Top Word Pairs in Tweet in G9:
[18] illegal,immigration [12] immigration,detention [12] covid,19 [9] facts,sheets [9] students,discrimination [9] education,issuing [9] including,harassment [9] discrimination,based [9] national,origin [9] origin,immigration Top Word Pairs in Tweet in G10:
[137] cut,hospital [137] bed,numbers [137] support,grants [137] numbers,cuts [137] cuts,support [137] immigration,cause [137] serial,decisions [137] decisions,cut [137] cause,deliberate [137] deliberate,serial Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: