The graph represents a network of 5,823 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, 28 September 2020 at 19:32 UTC.
The requested start date was Monday, 28 September 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 3-day, 16-hour, 27-minute period from Thursday, 24 September 2020 at 07:32 UTC to Monday, 28 September 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 : 5823
Unique Edges : 3350
Edges With Duplicates : 13192
Total Edges : 16542
Number of Edge Types : 5
Tweet : 1278
Retweet : 5877
MentionsInRetweet : 8042
Mentions : 1084
Replies to : 261
Self-Loops : 1382
Reciprocated Vertex Pair Ratio : 0.00938063740228503
Reciprocated Edge Ratio : 0.0185869176694865
Connected Components : 829
Single-Vertex Connected Components : 465
Maximum Vertices in a Connected Component : 3661
Maximum Edges in a Connected Component : 12706
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.72302
Graph Density : 0.000247570122696024
Modularity : 0.422425
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,823 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, 28 September 2020 at 19:32 UTC.
The requested start date was Monday, 28 September 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 3-day, 16-hour, 27-minute period from Thursday, 24 September 2020 at 07:32 UTC to Monday, 28 September 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 : #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:
[1152] eric,#zemmour [1124] cnews,#immigration [1123] #zemmour,cnews [1119] zemmoureric,eric [591] #immigration,inventé [591] inventé,nouveau [591] nouveau,droit [591] droit,homme [591] homme,droit [591] droit,venir Top Word Pairs in Tweet in G1:
[832] eric,#zemmour [829] #zemmour,cnews [829] cnews,#immigration [825] zemmoureric,eric [448] #immigration,inventé [448] inventé,nouveau [448] nouveau,droit [448] droit,homme [448] homme,droit [448] droit,venir Top Word Pairs in Tweet in G2:
[128] eric,#zemmour [114] cnews,#immigration [113] zemmoureric,eric [113] #zemmour,cnews [106] difficile,voir [100] #goldnadel,fais [100] fais,partie [100] partie,#majorité [100] #majorité,#français [100] #français,acceptent Top Word Pairs in Tweet in G3:
[32] motion,law [19] #immigration,#visa [19] search,law [19] law,firms [19] #divorce,#personalinjury [19] #personalinjury,#wills [19] #wills,#realestate [19] #realestate,#dui [19] #dui,#immigration [19] #immigration,#commerciallaw Top Word Pairs in Tweet in G4:
[174] ce,pacte [167] migrants,arrivant [167] arrivant,depuis [167] depuis,1er [167] 1er,janvier [167] janvier,europe [167] europe,proviennent [167] proviennent,majoritairement [167] majoritairement,tunisie [167] tunisie,d'algérie Top Word Pairs in Tweet in G5:
[147] oui,non [141] #racisme,#immigration [141] #immigration,immigrée [141] immigrée,#cameroun [141] #cameroun,traite [141] traite,#policiers [141] #policiers,sales [141] sales,blancs [141] blancs,menace [141] menace,tuer Top Word Pairs in Tweet in G6:
[131] #gabon,69 [131] 69,#migrants [131] #migrants,partis [131] partis,#nigeria [131] #nigeria,renvoyés [131] renvoyés,chez [131] chez,eux [131] eux,leurs [131] leurs,#passeurs [130] #passeurs,inculpés Top Word Pairs in Tweet in G7:
[173] exclusive,#georgesoros [173] #georgesoros,funded [173] funded,opensociety [173] opensociety,prepares [173] prepares,secret [173] secret,notes [173] notes,speeches [173] speeches,canada's [173] canada's,immigration [173] immigration,minister Top Word Pairs in Tweet in G8:
[169] #ericzemmour,condamné [169] condamné,10000 [169] 10000,euros [169] euros,d'amende [169] d'amende,discours [169] discours,anti [169] anti,immigration [169] immigration,convention [169] convention,droite [169] droite,même Top Word Pairs in Tweet in G9:
[36] years,voice [34] soloyochapin,barackobama [26] voice,#undocumented [26] #undocumented,unable [26] unable,vote [26] vote,stutter [26] stutter,joebiden [25] barackobama,years [12] #voteblue,fight [12] fight,realdonaldtrump Top Word Pairs in Tweet in G10:
[155] avons,besoin [154] commissaire,aux [154] aux,affaires [154] affaires,intérieures [154] relativise,#immigration [151] besoin,d'eux [150] vidéo,notre [150] notre,avons [150] d'eux,commissaire [150] intérieures,l'#ue Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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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: