The graph represents a network of 12,369 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 Thursday, 27 January 2022 at 11:02 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 6-day, 0-hour, 0-minute period from Thursday, 20 January 2022 at 12:19 UTC to Wednesday, 26 January 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 : 12369
Unique Edges : 7312
Edges With Duplicates : 11654
Total Edges : 18966
Number of Edge Types : 5
Retweet : 5328
MentionsInRetweet : 6178
Tweet : 3849
Replies to : 1006
Mentions : 2605
Self-Loops : 3898
Reciprocated Vertex Pair Ratio : 0.00444868128376231
Reciprocated Edge Ratio : 0.00885795634292945
Connected Components : 3991
Single-Vertex Connected Components : 1061
Maximum Vertices in a Connected Component : 1473
Maximum Edges in a Connected Component : 3050
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 13.139875
Graph Density : 6.19885795112076E-05
Modularity : 0.58491
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,369 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 Thursday, 27 January 2022 at 11:02 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 6-day, 0-hour, 0-minute period from Thursday, 20 January 2022 at 12:19 UTC to Wednesday, 26 January 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:
[1990] covid,19 [222] contra,covid [144] positive,covid [110] covid,tests [108] tested,positive [104] covid,cases [104] covid,restrictions [98] long,covid [96] covid,deaths [83] boris,johnson Top Word Pairs in Tweet in G1:
[267] covid,19 [19] contra,covid [18] teste,covid [14] positive,covid [13] positivo,covid [11] boris,johnson [11] covid,cases [11] tested,positive [11] due,covid [10] covid,test Top Word Pairs in Tweet in G2:
[51] covid,19 [18] covid,cases [18] #stopofflineexams,#stopofflineclasses [15] offline,exam [13] cases,increasing [13] increasing,day [13] covid,positive [13] #stopofflineclasses,#studentslivesmatter [12] online,exam [12] iitkgp,eduminofindia Top Word Pairs in Tweet in G3:
[50] year,old [27] 11,year [27] last,night [25] tell,year [25] old,11 [25] old,siblings [25] siblings,dad [25] dad,died [25] died,last [25] night,month Top Word Pairs in Tweet in G4:
[21] long,covid [13] scientists,health [13] health,leaders [13] leaders,warn [13] warn,danger [13] danger,england [13] england,covid [13] covid,restrictions [13] restrictions,end [12] chrischirp,scientists Top Word Pairs in Tweet in G5:
[17] tested,positive [17] positive,covid [14] omicron,'sub [14] 'sub,lineage' [14] lineage',ba [14] ba,designated [14] designated,covid [14] covid,variant [14] variant,under [14] under,investigation Top Word Pairs in Tweet in G6:
[15] covid,19 [5] covid,vaccine [5] free,covid [5] one,year [5] president,biden [4] dear,potus [4] potus,consider [4] consider,firing [4] firing,postmaster [4] postmaster,louis Top Word Pairs in Tweet in G7:
[15] covid,19 [12] athlète,sarah [12] sarah,atcho [12] atcho,souffre [12] souffre,péricardite [12] péricardite,journal [12] journal,suisse [12] suisse,matin [12] matin,rapporte [12] rapporte,ceci Top Word Pairs in Tweet in G8:
[17] something,deeply [17] deeply,broken [17] broken,covid [17] covid,policy [17] policy,more [17] more,vaccine [17] vaccine,doses [17] doses,arm [17] arm,more [17] more,layers Top Word Pairs in Tweet in G9:
[17] never,history [17] history,germany [17] germany,more [17] more,widespread [17] widespread,protests [17] protests,weeks [17] weeks,same [17] same,day [16] disclosetv,never [16] day,prote Top Word Pairs in Tweet in G10:
[10] prime,minister [9] accusing,pm [9] learn,live [8] disgusting,lie [8] lie,keir_starmer [8] keir_starmer,accusing [8] pm,hiding [8] hiding,away [8] away,days [8] days,knows Top Replied-To in Entire Graph:
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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:
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Top Tweeters in G10: