The graph represents a network of 4,861 Twitter users whose recent tweets contained "Maggie Haberman", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 01 June 2021 at 17:04 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 37-minute period from Monday, 24 May 2021 at 15:19 UTC to Tuesday, 01 June 2021 at 16:56 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 : 4861
Unique Edges : 8047
Edges With Duplicates : 623
Total Edges : 8670
Number of Edge Types : 5
Retweet : 5880
Replies to : 1129
MentionsInRetweet : 804
Mentions : 316
Tweet : 541
Self-Loops : 571
Reciprocated Vertex Pair Ratio : 0.000766479305058763
Reciprocated Edge Ratio : 0.00153178452897626
Connected Components : 403
Single-Vertex Connected Components : 289
Maximum Vertices in a Connected Component : 4039
Maximum Edges in a Connected Component : 7870
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.171907
Graph Density : 0.000331605463151327
Modularity : 0.643329
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,861 Twitter users whose recent tweets contained "Maggie Haberman", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 01 June 2021 at 17:04 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 37-minute period from Monday, 24 May 2021 at 15:19 UTC to Tuesday, 01 June 2021 at 16:56 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 : TwitterSearch
Graph Term : Maggie Haberman
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:
[6635] maggie,haberman [1718] mar,lago [1506] telling,people [1272] reinstated,august [1165] expects,reinstated [1150] trump,telling [1129] people,contact [1126] contact,expects [671] august,maggie [657] like,maggie Top Word Pairs in Tweet in G1:
[1783] maggie,haberman [266] mar,lago [228] reinstated,august [214] mom,pr [213] pr,trump [211] maggie,trump [210] remember,maggie [210] haberman,mom [210] trump,divorcing [210] divorcing,ivana Top Word Pairs in Tweet in G2:
[897] maggie,haberman [409] like,maggie [355] beschlossdc,maggienyt [348] social,media [346] talk,trump [345] maggienyt,gonna [345] gonna,talk [345] trump,whisperers [345] whisperers,like [345] haberman,message Top Word Pairs in Tweet in G3:
[1110] mar,lago [442] maggie,haberman [373] reinstated,august [371] telling,people [370] trump,telling [370] people,contact [370] contact,expects [370] expects,reinstated [370] august,maggie [370] haberman,people Top Word Pairs in Tweet in G4:
[285] maggie,haberman [79] nyt's,maggie [79] being,prosecuted [78] fears,being [77] trump's,fears [77] prosecuted,'escalated' [77] 'escalated',weeks [77] weeks,nyt's [19] telling,people [15] nyt,maggie Top Word Pairs in Tweet in G5:
[330] maggie,haberman [191] improperly,capitalized [172] haberman,hear [172] hear,verbatim [172] verbatim,improperly [172] capitalized,detail [172] detail,trump [172] trump,grand [172] grand,jury [172] jury,investigation Top Word Pairs in Tweet in G6:
[366] maggie,haberman [214] haberman,trump's [214] trump's,propaganda [214] propaganda,mouthpiece [44] mar,lago [36] forget,role [36] role,maggie [36] haberman,george [36] george,conway [36] conway,kelly Top Word Pairs in Tweet in G7:
[308] maggie,haberman [234] telling,people [233] people,contact [233] contact,expects [233] expects,reinstated [233] reinstated,august [225] trump,telling [213] haberman,times [213] times,trump [41] trump's,fears Top Word Pairs in Tweet in G8:
[222] maggie,haberman [222] haberman,york [222] york,times [222] times,confirmou [222] confirmou,todos [222] todos,sabiam [222] sabiam,mídia [222] mídia,tratou [222] tratou,origem [222] origem,em Top Word Pairs in Tweet in G9:
[249] maggie,haberman [183] telling,people [179] trump,telling [179] people,contact [179] contact,expects [179] expects,reinstated [179] reinstated,august [166] enabling,trump [163] trump,mentally [162] haberman,nyt Top Word Pairs in Tweet in G10:
[266] maggie,haberman [191] telling,people [181] press,secretary [178] haberman,trump [178] trump,longer [178] longer,president [178] president,stop [178] stop,acting [178] acting,like [178] like,personal Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: