The graph represents a network of 5,705 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, 27 May 2020 at 23:28 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 12-hour, 50-minute period from Monday, 25 May 2020 at 11:09 UTC to Tuesday, 26 May 2020 at 23:59 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 : 5705
Unique Edges : 2529
Edges With Duplicates : 8052
Total Edges : 10581
Number of Edge Types : 5
Replies to : 268
Retweet : 3885
MentionsInRetweet : 4718
Tweet : 917
Mentions : 793
Self-Loops : 948
Reciprocated Vertex Pair Ratio : 0.00765805877114871
Reciprocated Edge Ratio : 0.0151997172145635
Connected Components : 982
Single-Vertex Connected Components : 464
Maximum Vertices in a Connected Component : 2076
Maximum Edges in a Connected Component : 4698
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.50541
Graph Density : 0.000173871250459416
Modularity : 0.555693
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,705 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, 27 May 2020 at 23:28 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 12-hour, 50-minute period from Monday, 25 May 2020 at 11:09 UTC to Tuesday, 26 May 2020 at 23:59 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 G2:
[172] realdonaldtrump,virus [51] right,china [49] china,manufacturing [48] thebradfordfile,voting [47] voting,realdonaldtrump [46] virus,proves [34] proves,right [32] manufacturing,globalism [30] globalism,jobs [28] jobs,tra Top Word Pairs in Tweet in G3:
[206] media,tell [174] tell,cummings [173] cummings,issue [172] issue,cut [172] cut,people [172] people,furious [172] furious,given [172] given,wrong [172] mollygiles2015,media [171] wrong,publi Top Word Pairs in Tweet in G4:
[392] immigration,detention [392] health,dg [392] dr,noor [392] covid,19 [392] clusters,immigration [392] melgohcna,health [392] detention,centres [392] dg,dr [391] noor,hihsam [391] hihsam,warns Top Word Pairs in Tweet in G5:
[117] immigrant,children [85] trump,administration [83] administration,long [75] long,sought [67] sought,ability [65] ability,indefinitely [49] indefinitely,detain [44] detain,deport [44] deport,immigrant [44] crewcrew,trump Top Word Pairs in Tweet in G6:
[141] midst,global [140] global,pandemic [139] pandemic,democrats [139] democrats,still [139] still,wide [139] wide,open [139] open,border [139] border,afford [139] afford,elect [138] elect,fake Top Word Pairs in Tweet in G7:
[113] second,immigrant [113] immigrant,held [113] held,ice [113] ice,died [113] died,#covid19 [113] #covid19,rights [113] rights,groups [113] groups,urging [113] urging,govt [113] govt,release Top Word Pairs in Tweet in G8:
[104] #covid19,added [104] added,unprecedented [104] unprecedented,barriers [104] barriers,counting [104] counting,americans [104] americans,early [104] early,response [104] response,rates [104] rates,show [104] show,disproportionally Top Word Pairs in Tweet in G9:
[59] covid,19 [59] 34,year [59] year,old [59] old,guatemalan [59] guatemalan,man [59] tested,positive [59] man,tested [59] positive,covid [59] 19,died [59] died,immigration Top Word Pairs in Tweet in G10:
[73] covid,19 [72] another,tragedy [72] tragedy,deadly [68] deadly,stewart [68] stewart,detention [68] detention,center [67] center,34 [67] 34,year [67] year,old [67] old,immigrant Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G8:
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: