The graph represents a network of 9,054 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, 12 August 2020 at 23:08 UTC.
The requested start date was Wednesday, 12 August 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 2-day, 18-hour, 24-minute period from Sunday, 09 August 2020 at 05:35 UTC to Wednesday, 12 August 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 : 9054
Unique Edges : 3896
Edges With Duplicates : 12075
Total Edges : 15971
Number of Edge Types : 5
Retweet : 5912
MentionsInRetweet : 6821
Tweet : 879
Replies to : 787
Mentions : 1572
Self-Loops : 907
Reciprocated Vertex Pair Ratio : 0.00713250863702218
Reciprocated Edge Ratio : 0.014163992475379
Connected Components : 1190
Single-Vertex Connected Components : 430
Maximum Vertices in a Connected Component : 5280
Maximum Edges in a Connected Component : 10607
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.570003
Graph Density : 0.000110253217369934
Modularity : 0.570531
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,054 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, 12 August 2020 at 23:08 UTC.
The requested start date was Wednesday, 12 August 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 2-day, 18-hour, 24-minute period from Sunday, 09 August 2020 at 05:35 UTC to Wednesday, 12 August 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:
[1300] executive,orders [1296] nice,republicans [1296] republicans,totally [1296] totally,board [1296] board,president [1296] president,signing [1296] signing,executive [1296] orders,bypassing [1294] bypassing,congress [1294] congress,hope Top Word Pairs in Tweet in G1:
[1267] nice,republicans [1267] republicans,totally [1267] totally,board [1267] board,president [1267] president,signing [1267] signing,executive [1267] executive,orders [1267] orders,bypassing [1267] bypassing,congress [1267] congress,hope Top Word Pairs in Tweet in G2:
[551] immigrant,covid [550] money,left [550] left,piggy [550] piggy,bank [550] bank,gavin [550] gavin,becuse [550] becuse,took [550] took,money [550] money,blew [550] blew,illegal Top Word Pairs in Tweet in G3:
[516] trump's,america [516] america,traitors [516] traitors,writing [516] writing,foreign [516] foreign,policy [516] policy,thieves [516] thieves,writing [516] writing,economic [516] economic,policy [516] policy,racists Top Word Pairs in Tweet in G4:
[127] covid,19 [25] immigration,detention [21] health,care [21] 19,outbreak [19] federal,scientists [19] detention,center [18] scientists,begin [18] begin,addressing [18] addressing,massive [18] massive,covid Top Word Pairs in Tweet in G5:
[24] health,care [18] doctors,dentists [17] realdonaldtrump,trump [16] covid,19 [16] more,deaths [15] paulcshipley,donaldjtrumpjr [15] donaldjtrumpjr,realdonaldtrump [15] trump,responsible [15] responsible,more [15] deaths,nuclear Top Word Pairs in Tweet in G6:
[217] immigration,status [216] care,immigration [212] covid,19 [212] 19,care [212] right,thing [212] thing,well [212] well,being [212] being,individuals [211] govinslee,covid [211] status,right Top Word Pairs in Tweet in G7:
[2] alan03269624,vincegottalotta [2] vincegottalotta,lastplace_champ [2] lastplace_champ,triadaxiom [2] triadaxiom,emsops [2] emsops,grampazachary [2] grampazachary,cubancafecito [2] cubancafecito,vilvnv [2] vilvnv,osage_or Top Word Pairs in Tweet in G8:
[69] immigrant,rights [67] undocumented,pandemic [61] frontlinepbs,undocumented [53] rights,advocates [53] advocates,demanding [53] demanding,release [53] release,asylum [53] asylum,seekers [53] seekers,immigrants [53] immigrants,detained Top Word Pairs in Tweet in G9:
[40] pritipatel,virus [39] virus,press [39] press,conferences [39] conferences,10 [39] 10,priti [39] priti,perhaps [39] perhaps,need [39] need,immigration [39] immigration,updates [39] updates,situation Top Word Pairs in Tweet in G10:
[98] shadowy,data [98] data,mining [98] mining,firm [98] whose,technology [98] technology,powered [97] powered,nefarious [97] nefarious,immigration [97] immigration,abuses [96] firm,#palantir [96] #palantir,whose Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: