The graph represents a network of 7,366 Twitter users whose tweets in the requested range contained "Pompeo", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 11:43 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 3-hour, 1-minute period from Thursday, 10 September 2020 at 04:35 UTC to Saturday, 12 September 2020 at 07:36 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 : 7366
Unique Edges : 2696
Edges With Duplicates : 12545
Total Edges : 15241
Number of Edge Types : 5
Retweet : 5893
MentionsInRetweet : 6699
Tweet : 1283
Replies to : 570
Mentions : 796
Self-Loops : 1318
Reciprocated Vertex Pair Ratio : 0.0031541595479038
Reciprocated Edge Ratio : 0.00628848421328442
Connected Components : 1061
Single-Vertex Connected Components : 587
Maximum Vertices in a Connected Component : 4789
Maximum Edges in a Connected Component : 11301
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.418657
Graph Density : 0.000140698930647575
Modularity : 0.497126
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,366 Twitter users whose tweets in the requested range contained "Pompeo", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 11:43 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 3-hour, 1-minute period from Thursday, 10 September 2020 at 04:35 UTC to Saturday, 12 September 2020 at 07:36 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 : Pompeo
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:
[1450] secretary,pompeo [1356] asked,secretary [1354] month,ago [1354] ago,asked [1354] pompeo,hearing [1354] hearing,whether [1354] whether,voters [1354] voters,members [1354] members,congress [1354] congress,view Top Word Pairs in Tweet in G1:
[1304] month,ago [1304] ago,asked [1304] asked,secretary [1304] secretary,pompeo [1304] pompeo,hearing [1304] hearing,whether [1304] whether,voters [1304] voters,members [1304] members,congress [1304] congress,view Top Word Pairs in Tweet in G2:
[511] activists,held [478] hong,kong [472] china,pompeo [470] 'deeply,concerned' [470] concerned',hong [470] kong,activists [470] held,china [247] reuters,'deeply [157] channelnewsasia,'deeply [107] sec,pompeo Top Word Pairs in Tweet in G3:
[603] susan,pompeo [564] private,email [555] used,private [552] private,citizen [552] citizen,official [552] official,role [552] role,susan [552] pompeo,used [552] email,account [552] account,assign Top Word Pairs in Tweet in G4:
[114] mike,pompeo [44] secretary,state [34] substantial,chance [33] state,mike [31] alexei,navalny [31] στην,κύπρο [30] peace,talks [23] chance,russia [23] behind,poisoning [23] dışişleri,bakanı Top Word Pairs in Tweet in G5:
[268] private,email [263] used,private [231] pompeo,wife [230] breaking,news [230] news,pompeo [230] wife,used [230] email,hide [230] hide,government [230] government,business [229] sethabramson,breaking Top Word Pairs in Tweet in G6:
[109] nikki,haley [109] knew,nikki [108] haley,knew [108] ted,cruz [108] cruz,knew [108] knew,marco [106] marco,rubio [106] rubio,knew [105] knew,rand [105] rand,paul Top Word Pairs in Tweet in G7:
[148] great,article [148] article,ccp [148] ccp,started [148] started,doing [148] doing,back [148] back,2003 [148] 2003,ties [148] ties,confusious [148] confusious,institutes [148] institutes,colleges Top Word Pairs in Tweet in G8:
[167] officials,pompeo [167] pompeo,esper [166] esper,o'brien [166] o'brien,branded [166] branded,china [166] china,aggressor [166] aggressor,against [166] against,india [166] india,indian [166] indian,official Top Word Pairs in Tweet in G9:
[166] lindsey,graham [166] mike,pompeo [166] kellyanne,conway [166] nikki,haley [166] glenn,beck [121] ted,cruz [120] graham,knew [120] knew,mike [120] pompeo,knew [120] knew,kellyanne Top Word Pairs in Tweet in G10:
[38] difficult,imagine [38] imagine,virtually [37] virtually,surrendering [37] surrendering,taliban [37] taliban,bring [37] bring,peace [37] peace,afghanistan [37] afghanistan,quoted [36] husainhaqqani,difficult [26] mike,pompeo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: