The graph represents a network of 3,818 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-03-16 until:2023-03-20", 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, 20 March 2023 at 10:26 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 56-minute period from Thursday, 16 March 2023 at 00:02 UTC to Sunday, 19 March 2023 at 23:58 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 : 3818
Unique Edges : 5841
Edges With Duplicates : 3233
Total Edges : 9074
Number of Edge Types : 5
Mentions : 2257
Retweet : 2260
MentionsInRetweet : 1415
Tweet : 2817
Replies to : 325
Self-Loops : 2864
Reciprocated Vertex Pair Ratio : 0.0351974970668752
Reciprocated Edge Ratio : 0.0680015111446921
Connected Components : 311
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 2591
Maximum Edges in a Connected Component : 6662
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 6.493615
Graph Density : 0.000363266921040428
Modularity : 0.596687
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,818 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-03-16 until:2023-03-20", 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, 20 March 2023 at 10:26 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 56-minute period from Thursday, 16 March 2023 at 00:02 UTC to Sunday, 19 March 2023 at 23:58 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:2023-03-16 until:2023-03-20
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:
[62] credit,suisse [47] silicon,valley [42] years,ago [38] valley,bank [34] st,patrick's [34] patrick's,day [31] last,year [28] social,media [26] gender,affirming [23] ncaa,tournament Top Word Pairs in Tweet in G1:
[18] credit,suisse [10] breaking,news [8] worried,banks [7] interest,rates [7] professional,join [7] silicon,valley [7] interest,rate [7] join,award [7] bank,balance [7] join,scmp Top Word Pairs in Tweet in G2:
[9] banned,books [7] years,ago [7] searchable,database [6] growing,problems [6] put,records [6] asked,banned [6] affordability,crises [6] country,put [6] banned,prisons [6] database,books Top Word Pairs in Tweet in G3:
[13] freedom,information [8] information,day [8] soap,box [7] patrick's,day [6] national,ai [6] st,patrick's [6] right,know [6] public,right [6] sports,betting [5] information,act Top Word Pairs in Tweet in G4:
[22] credit,suisse [10] #winner,#ddj [10] 10,#sigmas23 [10] #sigmas23,#winner [8] scandal,charts [8] years,missteps [8] crisis,follows [8] wiped,billions [8] follows,years [8] stumbles,wiped Top Word Pairs in Tweet in G5:
[8] notes,frais [6] notre,collègue [6] kias,hyundais [5] réforme,retraites [5] contre,réforme [4] ce,vendredi [4] collégiale,lejdd [4] obtenir,auprès [4] euros,frais [4] digne,d'une Top Word Pairs in Tweet in G6:
[19] journalist's,toolbox [18] gender,affirming [15] irenatfh,carolineylchen [9] affirming,surgery [9] aliyyaswaby,lhwaldron [8] cover,gender [8] a_l,irenatfh [8] affirming,care [7] resources,journalist's [6] anna,lange Top Word Pairs in Tweet in G7:
[6] pasividad,judicial [6] judicial,mentiras [6] mentiras,políticas [4] 16,marzo [4] 'protocolo,vergüenza' [4] salud,mental [4] vida,digna [4] 90,tener [4] altura,caminar [4] desaparecidos,represión Top Word Pairs in Tweet in G8:
[4] school,library [4] library,content [4] bad,year [4] irish,americans [4] irish,people [4] time,fly [4] 2022,bad [3] black,family [3] 'dark,tint [3] patrick's,day Top Word Pairs in Tweet in G9:
[6] ayewolfe,mstodaynews [6] goldsmith,prize [5] last,year [5] local,news [5] investigative,reporter [4] followers,away [4] ripping,poor [4] days,read [4] huge,scam [4] mstodaynews,won Top Word Pairs in Tweet in G10:
[7] county,juvenile [7] cook,county [6] juvenile,jail [6] year,old [6] home,prices [6] silicon,valley [6] housing,starts [4] federal,reserve [4] revised,jan [4] above,revised 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: