The graph represents the network of Twitter users in the Twitter List "User List(1225850542515093509)". The network was obtained from Twitter on Friday, 28 February 2020 at 18:38 UTC.
It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.
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 : 1431
Unique Edges : 1706
Edges With Duplicates : 35822
Total Edges : 37528
Number of Edge Types : 4
Tweet : 35264
Mentions : 1604
Replies to : 608
Retweet : 52
Self-Loops : 35311
Reciprocated Vertex Pair Ratio : 0.0450281425891182
Reciprocated Edge Ratio : 0.0861759425493716
Connected Components : 239
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 1141
Maximum Edges in a Connected Component : 37240
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.152825
Graph Density : 0.00081658383545176
Modularity : 0.042445
NodeXL Version : 1.0.1.426
Data Import : The graph represents the network of Twitter users in the Twitter List "User List(1225850542515093509)". The network was obtained from Twitter on Friday, 28 February 2020 at 18:38 UTC.
It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : User List
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1339] donald,trump [1009] health,care [956] climate,change [584] american,people [528] white,house [437] town,hall [433] make,sure [428] united,states [415] climate,crisis [406] gun,violence Top Word Pairs in Tweet in G1:
[147] tulsi,gabbard [143] regime,change [109] american,people [105] gabbard,live [95] #tulsigabbard,#tulsi2020 [89] #tulsi2020,#tulsi [88] town,hall [73] change,wars [68] live,road [63] cold,war Top Word Pairs in Tweet in G2:
[238] andrew,yang [71] #yanggang,#yang2020 [55] presidential,candidate [54] andrewyang,#yanggang [46] yang,gang [45] town,hall [43] first,time [39] evelyn,yang [38] thank,#yanggang [37] south,carolina Top Word Pairs in Tweet in G3:
[1071] donald,trump [860] health,care [815] climate,change [439] white,house [420] american,people [339] climate,crisis [327] gun,violence [292] united,states [286] make,sure [269] town,hall Top Word Pairs in Tweet in G4:
[24] andrew,yang [6] #yanggang,#yang2020 [4] joining,#yanggang [3] bill,weld [3] part,roger [3] tom,steyer [3] pete,buttigieg [3] tulsi,gabbard [3] michael,bennet [3] #yanggang,#humanityfirst Top Word Pairs in Tweet in G5:
[90] bill,weld [48] donald,trump [40] #fitn,#nhpolitics [28] president,trump [22] united,states [22] republican,primary [22] #nhpolitics,#fitn [18] thank,support [17] former,massachusetts [17] town,hall Top Word Pairs in Tweet in G6:
[249] big,structural [245] structural,change [190] donald,trump [134] health,care [94] grassroots,movement [92] make,sure [83] climate,change [74] gun,violence [72] climate,crisis [66] fight,hard Top Word Pairs in Tweet in G7:
[2] today,hit [2] reading,andrewyang's Top Word Pairs in Tweet in G8:
[2] newshour,juliancastro [2] juliancastro,devalpatrick [2] devalpatrick,k_jeanpierre [2] k_jeanpierre,thechrisbuskirk Top Word Pairs in Tweet in G9:
[2] andrewyang,sengillibrand [2] sengillibrand,tulsigabbard [2] asian,descent [2] longshot,candidates [2] way,back Top Word Pairs in Tweet in G10:
[20] pete,buttigieg [16] mayor,pete [13] iowa,state [13] state,fair [9] south,bend [9] bend,mayor [4] buttigieg,stops [3] june,2019 [3] moines,register [3] root,beer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: