The graph represents a network of 6,346 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, 19 September 2022 at 22:21 UTC.
The requested start date was Monday, 19 September 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 2-day, 10-hour, 40-minute period from Thursday, 15 September 2022 at 12:02 UTC to Saturday, 17 September 2022 at 22:43 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 : 6346
Unique Edges : 3830
Edges With Duplicates : 12738
Total Edges : 16568
Number of Edge Types : 5
Mentions : 1296
Retweet : 5767
MentionsInRetweet : 7823
Replies to : 436
Tweet : 1246
Self-Loops : 1318
Reciprocated Vertex Pair Ratio : 0.00452226345083488
Reciprocated Edge Ratio : 0.00900380930393628
Connected Components : 921
Single-Vertex Connected Components : 600
Maximum Vertices in a Connected Component : 4540
Maximum Edges in a Connected Component : 13992
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.771702
Graph Density : 0.000215147656658811
Modularity : 0.463775
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,346 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, 19 September 2022 at 22:21 UTC.
The requested start date was Monday, 19 September 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 2-day, 10-hour, 40-minute period from Thursday, 15 September 2022 at 12:02 UTC to Saturday, 17 September 2022 at 22:43 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:
[874] je_puig,gabriellecluzel [497] record,absolu [478] macron,dit [416] emmanuel,macron [409] macron,détient [409] détient,record [409] absolu,#immigration [409] #immigration,légale [409] légale,partisan [409] partisan,immigration Top Word Pairs in Tweet in G1:
[714] je_puig,gabriellecluzel [319] gabriellecluzel,ce [319] ce,président [319] président,république [319] république,vraiment [319] vraiment,considère [319] considère,#immigration [319] #immigration,coupe [319] coupe,pleine [318] pleine,pou Top Word Pairs in Tweet in G2:
[152] repeupler,campagnes [151] veut,repeupler [141] #immigration,lieu [141] lieu,stopper [141] stopper,immigration [141] immigration,macron [141] macron,organise [141] organise,#grandremplacement [141] #grandremplacement,population [141] population,repeuplant Top Word Pairs in Tweet in G3:
[23] martha,vineyard [22] #immigration,#immigrants [19] #immigration,#marthasvineyard [17] martha's,vineyard [17] #marthasvineyard,#immigration [16] illegal,immigrants [14] #desantis,#immigration [11] #marthasvinyard,#immigration [10] human,trafficking [10] search,law Top Word Pairs in Tweet in G4:
[17] human,beings [17] #marthasvineyard,#immigration [14] govrondesantis,gregabbott_tx [12] #immigration,#marthasvineyard [12] martha's,vineyard [12] greg,abbott [11] martha,vineyard [10] govrondesantis,govabbott [10] ron,desantis [10] illegal,immigrants Top Word Pairs in Tweet in G5:
[241] grand,remplacement [235] emmanuel,macron [233] macron,dit [232] dit,haut [232] haut,fort [232] fort,grand [232] remplacement,lui [232] lui,nécessité [232] nécessité,#immigration [231] zemmoureric,emmanuel Top Word Pairs in Tweet in G6:
[269] macron,détient [269] détient,record [269] record,absolu [269] absolu,#immigration [269] #immigration,légale [269] légale,partisan [269] partisan,immigration [269] immigration,masse [269] masse,jamais [268] marionmarechal,macron Top Word Pairs in Tweet in G7:
[86] macron,dit [76] dit,qu [76] qu,installer [76] installer,#migrants [76] #migrants,#ruralite [76] #ruralite,mettant [76] mettant,#pognon [76] #pognon,dingue [76] dingue,fort [76] fort,bien Top Word Pairs in Tweet in G8:
[250] think,ron [250] ron,desantis [250] desantis,greg [250] greg,abbott [250] abbott,arrested [250] arrested,kidnapping [250] kidnapping,possible [250] possible,human [250] human,trafficking [249] ryanpinesworth,think Top Word Pairs in Tweet in G9:
[160] good,christian [159] jaxcarys,b52malmet [159] b52malmet,consider [159] consider,yourself [159] yourself,good [159] christian,applaud [159] applaud,despicable [159] despicable,stunt [159] stunt,trafficking [159] trafficking,human Top Word Pairs in Tweet in G10:
[138] #macron,menace [138] menace,d'un [138] d'un,mouvement [138] mouvement,social [138] social,d'ampleur [138] d'ampleur,marine [138] marine,pen [138] pen,#zemmour [138] #zemmour,absents [138] absents,élisabeth Top Replied-To in Entire Graph:
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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: