The graph represents a network of 6,463 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 21:24 UTC.
The requested start date was Monday, 25 October 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 5-day, 4-hour, 21-minute period from Tuesday, 19 October 2021 at 18:20 UTC to Sunday, 24 October 2021 at 22:41 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 : 6463
Unique Edges : 5058
Edges With Duplicates : 12096
Total Edges : 17154
Number of Edge Types : 5
Mentions : 1961
Retweet : 5217
MentionsInRetweet : 7933
Tweet : 1667
Replies to : 376
Self-Loops : 1784
Reciprocated Vertex Pair Ratio : 0.0139457664637521
Reciprocated Edge Ratio : 0.0275079139831896
Connected Components : 994
Single-Vertex Connected Components : 596
Maximum Vertices in a Connected Component : 3856
Maximum Edges in a Connected Component : 12428
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.120005
Graph Density : 0.000219352088379856
Modularity : 0.509606
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,463 Twitter users whose tweets in the requested range contained "#Immigration", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 21:24 UTC.
The requested start date was Monday, 25 October 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 5-day, 4-hour, 21-minute period from Tuesday, 19 October 2021 at 18:20 UTC to Sunday, 24 October 2021 at 22:41 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 : #Immigration
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:
[380] life,changing [378] envelope,containing [378] containing,life [378] changing,contents [378] contents,arrived [378] arrived,today [378] today,inside [378] inside,envelope [378] envelope,documentsp [378] documentsp,cover Top Word Pairs in Tweet in G1:
[345] daniel,jupp [345] jupp,'a [345] 'a,government [345] government,one [345] one,duty [345] duty,existing [345] existing,citizens [345] citizens,asylum [345] asylum,seekers [344] csquiremagazine,daniel Top Word Pairs in Tweet in G2:
[70] #immigration,chiffres [70] chiffres,intéressants [70] intéressants,donnés [70] cnews,quand [70] quand,intègre [70] intègre,rejetons [70] rejetons,nés [70] nés,pays [69] #colombes,individu [69] individu,foncé Top Word Pairs in Tweet in G3:
[32] learn,more [27] #immigration,#immigrants [25] #canada,#immigration [25] #immigration,#canada [22] search,law [22] law,firms [22] #divorce,#personalinjury [22] #personalinjury,#wills [22] #wills,#realestate [22] #realestate,#dui Top Word Pairs in Tweet in G4:
[340] #eagleact,#hr3648 [278] thank,signing [278] signing,onto [278] onto,#eagleact [278] #hr3648,wholeheartedly [278] wholeheartedly,welcome [278] welcome,support [278] support,seek [197] senthomtillis,senatorcollins [197] senatorcollins,senrandpaul Top Word Pairs in Tweet in G5:
[373] envelope,containing [373] containing,life [373] life,changing [373] changing,contents [373] contents,arrived [373] arrived,today [373] today,inside [373] inside,envelope [373] envelope,documentsp [373] documentsp,cover Top Word Pairs in Tweet in G6:
[126] work,visa [126] #immigration,#visa [125] #quiz,#yaxisquiz [125] #yaxis,#indianmigrants [124] #indianmigrants,#migration [123] #yaxisquiz,#win [123] #win,#immigration [109] #migration,#migrateabroad [107] #visa,#yaxis [106] #contestalert,#quiz Top Word Pairs in Tweet in G7:
[255] #pavlenko,selon [255] selon,l'insee [255] l'insee,l'année [255] l'année,2017 [255] 2017,cela [255] cela,vaut [255] vaut,2018 [255] 2018,2019 [255] 2019,44 [255] 44,hausse Top Word Pairs in Tweet in G8:
[33] federal,officials [29] officials,lost [29] lost,complete [29] complete,control [29] control,southern [29] southern,#border [29] #border,under [29] under,president [29] president,biden [29] biden,dhsgov Top Word Pairs in Tweet in G9:
[16] three,local [16] local,#smallbiz [16] #smallbiz,owners [16] owners,common [16] common,re [16] re,located [16] located,#eglaw [16] #eglaw,ve [16] ve,benefited [16] #releaseppraccra,#releaseppraccra Top Word Pairs in Tweet in G10:
[45] bravo,aux [45] aux,policiers [45] policiers,ont [45] ont,fait [45] fait,preuve [45] preuve,sang [45] sang,froid [45] froid,professionnalisme [45] professionnalisme,rues [45] rues,#montrouge Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: