The graph represents a network of 6,744 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-03-20 until:2023-03-27", 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, 27 March 2023 at 12:38 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Monday, 20 March 2023 at 00:01 UTC to Sunday, 26 March 2023 at 23:59 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 : 6744
Unique Edges : 10897
Edges With Duplicates : 7359
Total Edges : 18256
Number of Edge Types : 5
Retweet : 4719
Tweet : 5525
Replies to : 648
Mentions : 4565
MentionsInRetweet : 2799
Self-Loops : 5604
Reciprocated Vertex Pair Ratio : 0.035757698541329
Reciprocated Edge Ratio : 0.0690464547677262
Connected Components : 268
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 5757
Maximum Edges in a Connected Component : 16317
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.370085
Graph Density : 0.000224849846481981
Modularity : 0.553604
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,744 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-03-20 until:2023-03-27", 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, 27 March 2023 at 12:38 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Monday, 20 March 2023 at 00:01 UTC to Sunday, 26 March 2023 at 23:59 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:2023-03-20 until:2023-03-27
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:
[368] de,la [91] en,el [86] en,la [63] de,los [51] journalist's,toolbox [50] covid,19 [49] con,el [47] social,media [46] health,care [46] sur,le Top Word Pairs in Tweet in G1:
[26] trans,people [24] dot,plot [24] trans,adults [20] health,care [19] chinese,balloon [17] emgusk,sfcpoll [16] york,times [15] show,lost [14] caseyparks,emgusk [14] covid,19 Top Word Pairs in Tweet in G2:
[12] für,die [11] mortgage,rate [10] aus,der [10] das,ist [10] home,price [10] bei,den [9] 000,layoffs [9] love,support [9] months,mathieu [9] philkuntz,_constantjo Top Word Pairs in Tweet in G3:
[35] de,la [17] synthesis,report [13] climate,change [11] report,released [9] future,generations [9] 2023,synthesis [8] hush,money [8] en,la [8] par,les [7] en,español Top Word Pairs in Tweet in G4:
[123] de,la [56] en,el [54] en,la [39] de,los [36] con,el [30] de,madrid [20] de,las [18] en,las [18] para,la [16] en,madrid Top Word Pairs in Tweet in G5:
[8] foreclosure,franchise [7] lakeidrachavis,geoffhing [6] justice,department [6] matt,weidner [6] neighborhood,schools [6] florida,cities [6] community,call [5] affordable,housing [5] lewd,acts [5] drag,show Top Word Pairs in Tweet in G6:
[49] journalist's,toolbox [19] resources,journalist's [18] toolbox,newsletter [15] toolbox,subscribe [15] training,channel [15] tools,training [15] subscribe,journalist's [15] subscriptions,#journalism [15] youtube,digital [15] #journalism,resources Top Word Pairs in Tweet in G7:
[20] san,francisco [17] threats,democracy [15] mike,reed [13] reporting,threats [12] post,gazette [10] gannett,ceo [10] ceo,mike [10] mujschool,ire_nicar [10] fair,contract [8] public,private Top Word Pairs in Tweet in G8:
[89] de,la [20] dans,le [19] par,les [19] et,le [17] dans,la [17] et,de [16] réforme,des [16] forces,de [15] des,retraites [14] de,ordre Top Word Pairs in Tweet in G9:
[6] local,sales [6] sales,tax [6] lake,superior [6] shohei,ohtani [6] light,rail [5] mental,health [4] bagel,bites [4] keeping,session [4] transit,id [4] good,news Top Word Pairs in Tweet in G10:
[6] washington,post [5] rest,world [4] city,council [4] check,balance [4] black,families [4] corporate,america [4] post,stories [4] lawsuit,spoken [4] importance,washington [4] charts,lovely Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: