The graph represents a network of 6,598 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, 10 May 2021 at 21:27 UTC.
The requested start date was Monday, 10 May 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, 8-hour, 37-minute period from Tuesday, 04 May 2021 at 13:48 UTC to Sunday, 09 May 2021 at 22:25 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 : 6598
Unique Edges : 5794
Edges With Duplicates : 11026
Total Edges : 16820
Number of Edge Types : 5
Retweet : 4721
MentionsInRetweet : 7430
Tweet : 1976
Mentions : 2263
Replies to : 430
Self-Loops : 2109
Reciprocated Vertex Pair Ratio : 0.0153879973620576
Reciprocated Edge Ratio : 0.0303095908205239
Connected Components : 1233
Single-Vertex Connected Components : 741
Maximum Vertices in a Connected Component : 3510
Maximum Edges in a Connected Component : 11518
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.124403
Graph Density : 0.000212236054094784
Modularity : 0.524403
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,598 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, 10 May 2021 at 21:27 UTC.
The requested start date was Monday, 10 May 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, 8-hour, 37-minute period from Tuesday, 04 May 2021 at 13:48 UTC to Sunday, 09 May 2021 at 22:25 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:
[381] kamel,agag [381] agag,boudjahlat [360] avez,sali [360] sali,image [360] image,encore [360] encore,plus [359] boudjahlat,tpmp [359] tpmp,êtes [359] êtes,lâche [359] lâche,traitre Top Word Pairs in Tweet in G1:
[86] #immigration,#bidenbordercrisis [81] #bidenbordercrisis,#bordercrisis [80] pls,click [80] click,pray [80] pray,#electionintegrity [80] #constitution,#immigration [80] #bordercrisis,#prayforamerica [80] #prayforamerica,#prayusa [80] #prayusa,#humantrafficking [78] #electionintegrity,#2ndamendment Top Word Pairs in Tweet in G2:
[337] kamel,agag [337] agag,boudjahlat [335] boudjahlat,tpmp [335] tpmp,êtes [335] êtes,lâche [335] lâche,traitre [335] traitre,sale [335] sale,type [335] type,avez [335] avez,sali Top Word Pairs in Tweet in G3:
[109] moratoire,ans [93] michelbarnier,préconise [93] préconise,moratoire [89] ans,l'#immigration [89] l'#immigration,temps [89] temps,d'évaluer [89] d'évaluer,procédures [89] procédures,legrandjury [88] jwaintraub,michelbarnier [88] legrandjury,mic Top Word Pairs in Tweet in G4:
[333] root,cause [204] siia,director [204] director,nehamaha [204] nehamaha,appeared [204] appeared,cnn [204] cnn,morning [204] morning,talk [204] talk,root [204] cause,pandemic [204] pandemic,travel Top Word Pairs in Tweet in G5:
[187] #quiz,#yaxisquiz [186] #indianmigrants,#migration [182] #yaxis,#indianmigrants [173] #yaxisquiz,#win [173] #win,#immigration [167] #migration,#migrateabroad [128] yaxis,26 [114] #immigration,#visa [113] #visa,#yaxis [87] 26,#contestalert Top Word Pairs in Tweet in G6:
[91] raminmedic,statedept [91] statedept,enough [91] enough,advocacy [91] advocacy,representation [91] representation,#immigration [91] #immigration,advocates [91] advocates,unfair [91] unfair,plight [90] immigrationus_a,raminmedic [90] plight,# Top Word Pairs in Tweet in G7:
[20] states,pushing [20] pushing,back [20] back,against [20] administration,over [20] over,issues [20] issues,such [20] such,energy [20] energy,#immigration [20] #immigration,covid [12] against,president Top Word Pairs in Tweet in G8:
[79] #immigration,face [79] face,aux [79] aux,défis [79] défis,contemporains [79] européenne,droitise [78] #insécurité,#immigration [78] contemporains,#jeunesse [78] #jeunesse,européenne [77] valeurs,#insécurité [22] vidéo,#immigration Top Word Pairs in Tweet in G9:
[6] alimayorkas,tells [6] tells,temporary [6] temporary,residency [6] residency,families [6] families,being [6] being,reunited [6] reunited,deliver [5] janrodrigueztv,alimayorkas [5] deliver,stabili [4] family,separation Top Word Pairs in Tweet in G10:
[47] résidence,permanente [47] travailleurs,essentiels [46] gouvernement,fédéral [46] fédéral,offre [46] offre,voie [46] voie,accélérée [46] accélérée,résidence [46] permanente,près [46] près,90 [46] 90,000 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: