The graph represents a network of 6,660 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-02-27 until:2023-03-06", 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 Monday, 06 March 2023 at 14:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Monday, 27 February 2023 at 00:02 UTC to Sunday, 05 March 2023 at 23:54 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 : 6660
Unique Edges : 11585
Edges With Duplicates : 7792
Total Edges : 19377
Number of Edge Types : 5
Mentions : 5156
Retweet : 4655
Tweet : 5246
MentionsInRetweet : 3729
Replies to : 591
Self-Loops : 5315
Reciprocated Vertex Pair Ratio : 0.0480724785060553
Reciprocated Edge Ratio : 0.0917350269030608
Connected Components : 263
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 5728
Maximum Edges in a Connected Component : 17535
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.024432
Graph Density : 0.000255631814424426
Modularity : 0.548319
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,660 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-02-27 until:2023-03-06", 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 Monday, 06 March 2023 at 14:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Monday, 27 February 2023 at 00:02 UTC to Sunday, 05 March 2023 at 23:54 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 : list:19390498 filter:links since:2023-02-27 until:2023-03-06
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[356] de,la [121] en,la [114] en,el [92] data,journalism [86] de,los [62] de,las [58] covid,19 [45] más,de [44] social,media [39] climate,change Top Word Pairs in Tweet in G1:
[58] data,journalism [34] ire_nicar,#nicar23 [31] journalist's,toolbox [31] #nicar23,session [28] documentary,studies [28] center,documentary [26] open,source [25] hey,#nicar23 [22] machine,learning [21] data,reporting Top Word Pairs in Tweet in G2:
[12] social,media [10] lab,leak [10] 10,000 [10] fox,news [9] massive,quakes [9] quakes,feb [9] star,wars [9] turkey,massive [8] bipartisan,group [8] social,security Top Word Pairs in Tweet in G3:
[129] de,la [65] en,la [53] en,el [50] de,los [27] de,las [26] gobierno,de [25] más,de [24] en,españa [24] un,año [22] de,marzo Top Word Pairs in Tweet in G4:
[15] de,la [9] pour,les [9] investigation,#deforestationinc [8] auditing,firms [8] sur,les [7] réforme,des [7] data,visualization [7] en,skola [7] des,retraites [7] queere,menschen Top Word Pairs in Tweet in G5:
[23] earthquake,death [23] death,trap [20] aylajean,adamsamson [15] jalwilliams_,maxharlow [15] adamsamson,dan_clark5 [15] inari_ta,ian_bott_artist [15] ian_bott_artist,jalwilliams_ [15] dan_clark5,inari_ta [14] luxury,development [14] turkey,earthquake Top Word Pairs in Tweet in G6:
[8] bagel,bites [7] paul,vallas [7] marianne,williamson [6] nba,players [6] president,biden [6] headed,recession [6] players,raptor [6] derrick,white [6] senate,seats [6] club,soccer Top Word Pairs in Tweet in G7:
[11] shannon,beirne [11] tower,block [9] air,raid [8] rishi,sunak [8] whatsapp,messages [7] betty,boothroyd [7] covid,19 [7] slow,newscast [7] matt,hancock [6] data,team Top Word Pairs in Tweet in G8:
[25] thousands,people [20] ford,150 [18] accused,sickening [18] sickening,thousands [15] private,jet [13] elon,musk [12] aluminum,refinery [12] displaced,millions [12] traced,aluminum [11] rin,fellow Top Word Pairs in Tweet in G9:
[18] #iranrevolution,#irgcterrorists [10] das,ist [8] märz,#iranrevolution [8] auf,dem [8] ist,eine [6] und,auch [6] über,die [5] das,verhindern [5] 2021,wurde [4] gab,es Top Word Pairs in Tweet in G10:
[6] spending,plan [5] high,school [5] feels,like [4] teens,baltimore [4] social,decline [4] school,age [4] fathers,responsible [4] atlantic,city [4] 000,debt [4] record,analysis Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: