The graph represents a network of 9,045 Twitter users whose recent tweets contained "list:19390498 filter:links until:2022-03-14", 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, 14 March 2022 at 12:21 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 58-minute period from Sunday, 06 March 2022 at 02:58 UTC to Sunday, 13 March 2022 at 23:56 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 : 9045
Unique Edges : 15896
Edges With Duplicates : 10566
Total Edges : 26462
Number of Edge Types : 5
Retweet : 7106
Tweet : 7568
Mentions : 6347
MentionsInRetweet : 4445
Replies to : 996
Self-Loops : 7641
Reciprocated Vertex Pair Ratio : 0.0243655507559395
Reciprocated Edge Ratio : 0.0475719839230414
Connected Components : 206
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 8294
Maximum Edges in a Connected Component : 24895
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.327952
Graph Density : 0.000185531138352173
Modularity : 0.534219
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,045 Twitter users whose recent tweets contained "list:19390498 filter:links until:2022-03-14", 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, 14 March 2022 at 12:21 UTC.
The tweets in the network were tweeted over the 7-day, 20-hour, 58-minute period from Sunday, 06 March 2022 at 02:58 UTC to Sunday, 13 March 2022 at 23:56 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 : list:19390498 filter:links until:2022-03-14
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:
[550] de,la [218] en,el [181] en,la [149] de,los [134] war,ukraine [128] de,las [98] invasion,ukraine [97] la,guerra [88] russian,forces [82] covid,19 Top Word Pairs in Tweet in G1:
[137] de,la [53] en,el [52] war,ukraine [48] de,los [40] la,guerra [38] en,la [37] de,las [36] street,signs [35] #snd43,#snd43digital [30] en,ukraine Top Word Pairs in Tweet in G2:
[37] russian,forces [37] invasion,ukraine [25] war,ukraine [25] ukrainian,refugees [25] für,die [20] #ukraine,#russia [19] data,journalism [18] social,media [18] für,den [16] maternity,hospital Top Word Pairs in Tweet in G3:
[190] de,la [92] en,la [89] en,el [77] de,los [69] de,las [49] la,guerra [36] de,marzo [34] por,el [31] las,mujeres [28] con,la Top Word Pairs in Tweet in G4:
[15] ankle,monitors [13] brand,safety [12] facial,recognition [12] alden,global [12] global,capital [8] uber,lyft [8] local,news [8] pay,equity [8] equity,study [8] pay,journalists Top Word Pairs in Tweet in G5:
[15] black,homeowners [11] nursing,home [8] wells,fargo [8] rwoolington,eli_mur [8] 2020,census [7] tucker,carlson [7] coreygjohnson,rwoolington [6] vaccination,rates [6] census,bureau [5] 2020,election Top Word Pairs in Tweet in G6:
[38] journalist's,toolbox [21] toolbox,newsletter [19] tools,training [17] subscriptions,#journalism [17] #journalism,resources [17] resources,subscribe [17] subscribe,journalist's [17] newsletter,subscribe [17] subscribe,youtube [17] youtube,digital Top Word Pairs in Tweet in G7:
[10] österreich,fallzahlen [10] fallzahlen,laut [10] laut,ems [10] ems,morgenmeldung [10] quelle,#covid19at [10] #covid19at,#omicronat [9] #afp,#afpgraphics [8] der,#ukraine [8] 03,2022 [7] aus,der Top Word Pairs in Tweet in G8:
[15] de,uma [15] para,ler [15] ler,mais [15] mais,mulheres [13] de,dados [12] mais,de [9] de,máscara [9] mas,não [9] de,casos [9] orlando,brito Top Word Pairs in Tweet in G9:
[7] open,source [6] uk,airspace [6] isle,man [6] excess,deaths [5] real,time [5] private,jets [5] aircraft,register [4] good,morning [4] work,art [4] soviet,joke Top Word Pairs in Tweet in G10:
[10] louisiana,reported [10] tests,positive [9] cases,tests [9] russia,ukraine [7] additional,covid [7] covid,cases [7] positivity,rate [6] week,week [6] russian,invasion [6] russian,army Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: