The graph represents a network of 11,494 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 March 2022 at 07:34 UTC.
The requested start date was Saturday, 19 March 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 2-minute period from Wednesday, 16 March 2022 at 12:17 UTC to Friday, 18 March 2022 at 12:19 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 : 11494
Unique Edges : 6669
Edges With Duplicates : 11240
Total Edges : 17909
Number of Edge Types : 5
Tweet : 3353
Retweet : 5095
MentionsInRetweet : 6028
Replies to : 1104
Mentions : 2329
Self-Loops : 3403
Reciprocated Vertex Pair Ratio : 0.00598603259062188
Reciprocated Edge Ratio : 0.011900826446281
Connected Components : 3547
Single-Vertex Connected Components : 1140
Maximum Vertices in a Connected Component : 647
Maximum Edges in a Connected Component : 1338
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.610709
Graph Density : 6.86976742305872E-05
Modularity : 0.581564
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,494 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 March 2022 at 07:34 UTC.
The requested start date was Saturday, 19 March 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 2-minute period from Wednesday, 16 March 2022 at 12:17 UTC to Friday, 18 March 2022 at 12:19 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 : GraphServerTwitterSearch
Graph Term : COVID
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1966] covid,19 [275] positive,covid [222] covid,cases [196] long,covid [187] tested,positive [138] covid,deaths [129] contra,covid [103] positivo,covid [103] sebastian,vettel [99] during,covid Top Word Pairs in Tweet in G1:
[320] covid,19 [24] covid,cases [21] contra,covid [20] positive,covid [18] positivo,covid [16] during,covid [16] long,covid [13] covid,vaccine [12] changbin,covid [11] 19,vaccine Top Word Pairs in Tweet in G2:
[35] covid,19 [13] public,health [12] white,house [12] house,covid [12] once,again [12] covid,wave [11] denial,signs [11] signs,fresh [11] fresh,covid [10] st,patrick Top Word Pairs in Tweet in G3:
[74] week,cdcgov [74] covid,deaths [72] cdcgov,removed [72] removed,total [72] total,30 [72] 30,000 [72] 000,covid [72] deaths,dashboard [72] dashboard,reducing [72] reducing,pediatric Top Word Pairs in Tweet in G4:
[27] avant,était [27] était,covid [27] covid,maintenant [27] maintenant,guerre [27] guerre,méchants [27] méchants,contre [27] contre,gentils [27] gentils,terrible [27] terrible,manichéisme [26] f_philippot,avant Top Word Pairs in Tweet in G5:
[18] covid,cases [17] covid,19 [16] thought,covid [16] covid,unit [16] unit,fuller [16] fuller,peak [16] peak,omicron [16] omicron,ba1 [16] ba1,covid [16] covid,over Top Word Pairs in Tweet in G6:
[2] believe,parents [2] parents,still [2] still,letting [2] letting,kids [2] kids,vaxxed [2] vaxxed,great [2] great,reset [2] reset,telling [2] telling,kill [2] kill,great Top Word Pairs in Tweet in G7:
[84] sebastian,vettel [81] covid,19 [79] positive,covid [75] vettel,tested [75] tested,positive [50] nico,hulkenberg [42] breaking,astonmartinf1's [42] astonmartinf1's,sebastian [42] 19,replaced [42] replaced,nico Top Word Pairs in Tweet in G8:
[79] covid,19 [22] contra,covid [16] #16mar,buenos [16] buenos,días [16] días,#trujillo [16] #trujillo,tierra [16] tierra,santos [16] santos,sabios [16] sabios,centinelas [16] centinelas,czgnb_trujillo Top Word Pairs in Tweet in G9:
[38] changbin,bbl [38] bbl,dont [38] dont,worry [38] worry,covid [38] covid,name [38] name,pain [38] pain,upset [38] upset,happened [37] seungm1ne,changbin [37] happened,fir Top Word Pairs in Tweet in G10:
[17] covid,19 [11] today,india [9] narendramodi,today [8] crore,doses [7] 19,pandemic [7] india,many [7] many,made [7] made,india [7] india,vaccines [7] vaccines,granted Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: