The graph represents a network of 7,415 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, 27 September 2021 at 21:25 UTC.
The requested start date was Monday, 27 September 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 4-day, 23-hour, 53-minute period from Tuesday, 21 September 2021 at 22:49 UTC to Sunday, 26 September 2021 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 : 7415
Unique Edges : 4830
Edges With Duplicates : 10810
Total Edges : 15640
Number of Edge Types : 5
Mentions : 2637
Retweet : 4501
MentionsInRetweet : 5954
Tweet : 2032
Replies to : 516
Self-Loops : 2153
Reciprocated Vertex Pair Ratio : 0.0199704142011834
Reciprocated Edge Ratio : 0.0391588107324148
Connected Components : 1406
Single-Vertex Connected Components : 891
Maximum Vertices in a Connected Component : 3116
Maximum Edges in a Connected Component : 7882
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.475846
Graph Density : 0.000150505295061502
Modularity : 0.537133
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,415 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, 27 September 2021 at 21:25 UTC.
The requested start date was Monday, 27 September 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 4-day, 23-hour, 53-minute period from Tuesday, 21 September 2021 at 22:49 UTC to Sunday, 26 September 2021 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:
[907] armyspoke_news,surasi [903] surasi,force [903] migrant,workers [903] illegal,immigration [897] force,continues [897] continues,intercept [897] intercept,illegal [897] immigration,arresting [897] arresting,47 [897] 47,migrant Top Word Pairs in Tweet in G1:
[907] armyspoke_news,surasi [903] surasi,force [902] migrant,workers [897] force,continues [897] continues,intercept [897] intercept,illegal [897] illegal,immigration [897] immigration,arresting [897] arresting,47 [897] 47,migrant Top Word Pairs in Tweet in G2:
[37] #immigration,#canada [34] #immigration,#visa [25] #canada,#immigration [23] #immigration,#immigrants [22] learn,more [18] #bordercrisis,#immigration [17] #alexhannamiami,#alexhannalaw [17] #alexhannalaw,#alexhanna [17] #alexhanna,#accidents [17] #accidents,#tickets Top Word Pairs in Tweet in G3:
[633] conflitsfrance,débat [596] débat,éric [596] éric,#zemmour [596] #zemmour,propos [596] propos,urgence [596] urgence,#climatique [596] #climatique,priorité [596] priorité,lutte [596] lutte,contre [596] contre,#immigration Top Word Pairs in Tweet in G4:
[152] married,country [152] country,bought [152] bought,1st [152] 1st,house [152] house,started [152] started,business [152] business,pay [152] pay,taxes [152] taxes,follow [151] tanushreevaidya,married Top Word Pairs in Tweet in G5:
[181] #immigration,#visa [178] 67,points [178] #yaxisquiz,#win [178] #win,#immigration [177] #quiz,#yaxisquiz [177] #yaxis,#indianmigrants [162] #indianmigrants,#migration [150] points,#contestalert [140] #migration,#migrateabroad [134] #visa,#yaxis Top Word Pairs in Tweet in G6:
[78] married,20 [73] 20,years [68] husband,married [52] paid,dues [51] kids,paid [43] years,citizen [41] citizen,kids [40] dues,deserve [37] breaking,federal [37] federal,judge Top Word Pairs in Tweet in G7:
[16] l'#immigration,zemmoureric [16] zemmoureric,cite [16] cite,chiffres [16] chiffres,#stefanini [16] #stefanini,réponse [16] réponse,jlmelenchon [16] jlmelenchon,parce [16] parce,stefanini [14] jwaintraub,l'#immigration [13] ministre,#darmanin Top Word Pairs in Tweet in G8:
[52] #haitians,#immigration [32] border,agents [30] presssec,psaki [30] psaki,announces [30] announces,border [30] agents,rio [30] rio,tx [30] tx,longer [30] longer,using [30] using,horses Top Word Pairs in Tweet in G9:
[32] qu,ils [26] problème,opposants [26] opposants,qu [26] ils,peuvent [26] peuvent,démentir [26] démentir,objectivement [26] objectivement,propos [26] propos,#zemmour [26] #zemmour,parce [26] parce,ce Top Word Pairs in Tweet in G10:
[102] rare,imagery [102] imagery,rio [102] rio,texas [102] texas,migrant [102] migrant,camp [102] camp,night [102] night,#gettyimages [102] #gettyimages,#gettyimagesnews [102] #gettyimagesnews,#immigration [101] jbmoorephoto,rare 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: