The graph represents a network of 7,462 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, 28 April 2021 at 23:08 UTC.
The requested start date was Wednesday, 28 April 2021 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 2-day, 3-hour, 5-minute period from Sunday, 25 April 2021 at 20:51 UTC to Tuesday, 27 April 2021 at 23:57 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 : 7462
Unique Edges : 4087
Edges With Duplicates : 12930
Total Edges : 17017
Number of Edge Types : 5
Retweet : 5833
MentionsInRetweet : 7540
Tweet : 1057
Mentions : 1939
Replies to : 648
Self-Loops : 1121
Reciprocated Vertex Pair Ratio : 0.00773455890595225
Reciprocated Edge Ratio : 0.0153503893214683
Connected Components : 1185
Single-Vertex Connected Components : 596
Maximum Vertices in a Connected Component : 4469
Maximum Edges in a Connected Component : 12888
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.233185
Graph Density : 0.000161475785942525
Modularity : 0.518878
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,462 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, 28 April 2021 at 23:08 UTC.
The requested start date was Wednesday, 28 April 2021 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 2-day, 3-hour, 5-minute period from Sunday, 25 April 2021 at 20:51 UTC to Tuesday, 27 April 2021 at 23:57 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:
[1082] covid,19 [904] 100,days [741] need,#consularservicesincuba [741] #consularservicesincuba,fulfilling [695] immigrant,visas [691] immigration,process [686] consulates,processing [686] processing,immigrant [685] fulfilling,immigration [685] process,cuba Top Word Pairs in Tweet in G1:
[741] need,#consularservicesincuba [741] #consularservicesincuba,fulfilling [693] immigrant,visas [685] fulfilling,immigration [685] immigration,process [685] process,cuba [684] consulates,processing [684] processing,immigrant [684] cuba,traveling [683] traveling,guyana Top Word Pairs in Tweet in G2:
[428] count,shows [428] losing,house [428] house,seat [426] breaking,2020 [426] 2020,census [426] census,count [426] shows,california [426] california,losing [426] seat,texas [426] texas,florida Top Word Pairs in Tweet in G3:
[190] covid,19 [116] 100,days [81] promises,centered [72] president,biden [71] biden,checked [70] days,president [70] checked,many [70] many,promises [70] centered,around [70] around,covid Top Word Pairs in Tweet in G4:
[206] covid,19 [179] ice,detention [174] dangerous,places [172] izzy_niu,ice [170] detention,one [170] one,dangerous [170] places,covid [170] 19,understand [170] understand,risks [170] risks,ekrhyne Top Word Pairs in Tweet in G5:
[245] 100,days [233] more,action [233] action,less [233] less,talk [233] talk,distinguish [233] distinguish,biden's [233] biden's,100 [233] days,temperature [233] temperature,lower [233] lower,drama Top Word Pairs in Tweet in G6:
[66] gone,sudden [66] sudden,firings [66] firings,impulsive [66] impulsive,policy [66] policy,declarations [66] declarations,both [66] both,form [66] form,tweet [66] tweet,trump [66] trump,years Top Word Pairs in Tweet in G7:
[192] britons,under [192] under,house [192] house,arrest [192] arrest,unable [192] unable,travel [192] travel,abroad [192] abroad,during [192] during,covid [192] covid,govt [192] govt,allowed Top Word Pairs in Tweet in G8:
[100] top,issue [99] polls,showing [99] showing,top [99] issue,americans [99] americans,tells [99] tells,much [99] much,gop [99] gop,indep [99] indep,dems [99] dems,top Top Word Pairs in Tweet in G9:
[176] first,100 [176] 100,days [176] days,biden [176] biden,immigration [176] immigration,policies [176] policies,fueled [176] fueled,full [176] full,blown [176] blown,humanitarian [176] humanitarian,health Top Word Pairs in Tweet in G10:
[57] federal,government [57] government,face [57] face,court [57] court,charged [57] charged,breaching [57] breaching,work [57] work,health [57] health,safety [57] safety,laws [57] laws,26 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 G7:
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: