The graph represents a network of 7,357 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, 21 September 2020 at 19:36 UTC.
The requested start date was Monday, 21 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 5-day, 1-hour, 44-minute period from Tuesday, 15 September 2020 at 22:16 UTC to Monday, 21 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 : 7357
Unique Edges : 4330
Edges With Duplicates : 11722
Total Edges : 16052
Number of Edge Types : 5
Tweet : 1680
Retweet : 5108
MentionsInRetweet : 6444
Replies to : 414
Mentions : 2406
Self-Loops : 1799
Reciprocated Vertex Pair Ratio : 0.0281302370122097
Reciprocated Edge Ratio : 0.0547211549656537
Connected Components : 1147
Single-Vertex Connected Components : 666
Maximum Vertices in a Connected Component : 4222
Maximum Edges in a Connected Component : 10157
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.312077
Graph Density : 0.000158708477748994
Modularity : 0.528149
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,357 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, 21 September 2020 at 19:36 UTC.
The requested start date was Monday, 21 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 5-day, 1-hour, 44-minute period from Tuesday, 15 September 2020 at 22:16 UTC to Monday, 21 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:
[370] #immigration,#visa [329] home,office [321] #quiz,#yaxisquiz [319] #visa,#yaxis [319] #yaxis,#indianmigrants [318] #contestalert,#quiz [318] #yaxisquiz,#win [318] #win,#immigration [315] #indianmigrants,#migration [308] pleine,crise Top Word Pairs in Tweet in G1:
[23] #immigration,#canada [22] home,office [21] #immigration,#immigrants [20] express,entry [20] #canada,#immigration [20] search,law [20] law,firms [20] #divorce,#personalinjury [20] #personalinjury,#wills [20] #wills,#realestate Top Word Pairs in Tweet in G2:
[304] #quiz,#yaxisquiz [304] #immigration,#visa [304] #visa,#yaxis [304] #yaxis,#indianmigrants [303] #yaxisquiz,#win [303] #win,#immigration [301] #contestalert,#quiz [300] #indianmigrants,#migration [284] 67,#contestalert [219] #migration,#migrateabroad Top Word Pairs in Tweet in G3:
[272] #immigration,#abolishice [268] breaking,more [268] more,migrant [268] migrant,women [268] women,didn [268] didn,ok [268] ok,surgery [268] surgery,#immigration [267] juansaaa,breaking [43] 173,members Top Word Pairs in Tweet in G4:
[117] avez,voté [117] voté,l'#immigration [117] l'#immigration,masse [117] masse,depuis [117] depuis,60 [117] 60,ans [117] ans,l'avez [117] l'avez,maintenant [117] maintenant,#filles [117] #filles,peuvent Top Word Pairs in Tweet in G5:
[290] pleine,crise [290] crise,#covid [290] #covid,alors [290] alors,entreprises [290] entreprises,risquent [290] risquent,devoir [290] devoir,licencier [290] licencier,massivement [290] massivement,entraînant [290] entraînant,nombreux Top Word Pairs in Tweet in G6:
[235] jeanmessiha,#immigration [222] #immigration,sait [222] sait,plus [222] plus,double [222] double,exécution [222] exécution,#saintouen [222] #saintouen,l'un [222] l'un,s'appellait [222] s'appellait,sofiane [222] sofiane,mjaiber Top Word Pairs in Tweet in G7:
[138] peruvian,woman [138] woman,worked [138] worked,live [138] live,nanny [138] nanny,toronto [138] toronto,family [138] family,nearly [138] nearly,years [138] years,another [138] another,chance Top Word Pairs in Tweet in G8:
[293] time,we've [293] we've,reached [293] reached,legal [293] legal,armageddon [293] armageddon,death [293] death,#ruthbaderginsburg [293] #ruthbaderginsburg,gop [293] gop,thinks [293] thinks,realize [292] axidentaliberal,time Top Word Pairs in Tweet in G9:
[151] separate,group [151] group,mexican [151] mexican,deportees [151] deportees,include [151] include,man [151] man,wheelchair [151] wheelchair,lived [151] lived,40 [151] 40,years [151] years,father Top Word Pairs in Tweet in G10:
[94] continue,lose [94] lose,high [94] high,skilled [94] skilled,immigrants [94] immigrants,jobs [94] jobs,archaic [94] archaic,#immigration [94] #immigration,laws [94] laws,companies [94] companies,value Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: