The graph represents a network of 9,271 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, 22 June 2022 at 23:02 UTC.
The requested start date was Wednesday, 22 June 2022 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 7-day, 3-hour, 15-minute period from Tuesday, 14 June 2022 at 20:37 UTC to Tuesday, 21 June 2022 at 23:52 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 : 9271
Unique Edges : 5190
Edges With Duplicates : 11037
Total Edges : 16227
Number of Edge Types : 5
Retweet : 5063
MentionsInRetweet : 6274
Replies to : 1575
Mentions : 2508
Tweet : 807
Self-Loops : 859
Reciprocated Vertex Pair Ratio : 0.0136018557570645
Reciprocated Edge Ratio : 0.0268386559866847
Connected Components : 1395
Single-Vertex Connected Components : 423
Maximum Vertices in a Connected Component : 2535
Maximum Edges in a Connected Component : 5118
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.760264
Graph Density : 0.000111854285271131
Modularity : 0.59092
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,271 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, 22 June 2022 at 23:02 UTC.
The requested start date was Wednesday, 22 June 2022 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 7-day, 3-hour, 15-minute period from Tuesday, 14 June 2022 at 20:37 UTC to Tuesday, 21 June 2022 at 23:52 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:
[1611] health,care [1311] price,gouging [1306] way,life [1304] union,way [1303] know,true [1303] immoral,union [1303] nation,health [1302] true,price [1302] gouging,immoral [1302] life,sacred Top Word Pairs in Tweet in G1:
[1293] health,care [1290] price,gouging [1290] union,way [1290] way,life [1289] know,true [1289] immoral,union [1289] nation,health [1288] true,price [1288] gouging,immoral [1288] life,sacred Top Word Pairs in Tweet in G2:
[107] british,people [107] scale,immigration [106] people,mislead [106] mislead,over [106] over,scale [106] immigration,birthrate [106] birthrate,immigrants [106] immigrants,problems [105] phillip62895700,british [90] clown,world Top Word Pairs in Tweet in G3:
[46] covid,19 [44] health,care [37] mental,health [26] illegal,immigration [16] immigration,status [13] health,insurance [12] gas,prices [11] public,health [8] read,more [8] anti,immigrant Top Word Pairs in Tweet in G4:
[420] doivent,craindre [418] selon,gouvernement [418] gouvernement,médias [418] médias,français [418] français,doivent [418] craindre,covid [418] covid,guerre [418] guerre,variole [418] variole,singe [418] singe,maintenant Top Word Pairs in Tweet in G5:
[142] previous,year [142] covid,ban [141] lottery,winers [141] winers,previous [141] year,#dv2021 [141] #dv2021,affected [141] affected,covid [141] ban,believes [141] believes,really [132] diversity,lottery Top Word Pairs in Tweet in G6:
[151] toxic,torys [151] torys,removing [151] removing,party [151] party,name [151] name,election [151] election,literature [146] literature,clinging [138] clinging,toxic [135] toxic,lame [121] lame,duck Top Word Pairs in Tweet in G7:
[274] nova,scotia [274] scotia,canada [274] canada,hiring [274] hiring,nurse [274] nurse,continuing [274] continuing,care [274] care,assistant [274] assistant,looking [274] looking,opportunity [273] nsimmigration,nova Top Word Pairs in Tweet in G8:
[7] splc,asks [7] asks,investigation [7] investigation,demonic [7] demonic,desantis [7] desantis,seeks [7] seeks,fund [7] fund,anti [7] anti,immigrant [7] immigrant,program [7] program,pandemic Top Word Pairs in Tweet in G9:
[157] another,child [157] child,immigrant [157] immigrant,parents [157] parents,dies [157] dies,visiting [157] visiting,hospital [157] hospital,ed [157] ed,commonalities [157] commonalities,between [157] between,hiyaan Top Word Pairs in Tweet in G10:
[63] taxscam,trade [63] trade,war [63] war,tariffs [63] immigration,policy [62] inflation,boosters [62] boosters,taxscam [62] tariffs,deficit [61] policy,covid [60] deficit,immigration [60] covid,crash Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: