The graph represents a network of 11,968 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 Wednesday, 05 January 2022 at 08:48 UTC.
The requested start date was Wednesday, 05 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 3-day, 0-hour, 1-minute period from Saturday, 01 January 2022 at 12:18 UTC to Tuesday, 04 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 : 11968
Unique Edges : 6862
Edges With Duplicates : 11817
Total Edges : 18679
Number of Edge Types : 5
Retweet : 5429
MentionsInRetweet : 6293
Tweet : 3759
Replies to : 967
Mentions : 2231
Self-Loops : 3798
Reciprocated Vertex Pair Ratio : 0.00414214083278831
Reciprocated Edge Ratio : 0.00825010855405992
Connected Components : 3852
Single-Vertex Connected Components : 1051
Maximum Vertices in a Connected Component : 630
Maximum Edges in a Connected Component : 1333
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 8.973745
Graph Density : 6.43201513609842E-05
Modularity : 0.577999
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,968 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 Wednesday, 05 January 2022 at 08:48 UTC.
The requested start date was Wednesday, 05 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 3-day, 0-hour, 1-minute period from Saturday, 01 January 2022 at 12:18 UTC to Tuesday, 04 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:
[1816] covid,19 [223] covid,cases [182] positive,covid [178] covid,tests [162] tested,positive [119] 2022,covid [108] contra,covid [107] negative,things [107] things,2022 [106] swaggywille,negative Top Word Pairs in Tweet in G1:
[211] covid,19 [19] positivo,covid [15] covid,cases [12] covid,test [11] positive,covid [11] casos,covid [11] contra,covid [9] teste,covid [8] due,covid [8] covid,tests Top Word Pairs in Tweet in G2:
[45] covid,19 [14] due,covid [11] 15,18 [11] delayed,due [11] bighit,music [11] ज,त [10] पर,क [10] क,ष [9] age,relaxation [9] next,announcement Top Word Pairs in Tweet in G3:
[10] sajidjavid,dailymailuk [10] cases,today [8] dear,nadhim [8] nadhim,zahawi [8] zahawi,peoples [8] peoples,inability [8] inability,access [8] access,covid [8] covid,tests [8] tests,isn Top Word Pairs in Tweet in G4:
[126] covid,19 [55] full,recovery [55] recovery,covid [43] notice,bts [40] charts_k,notice [39] rm,jin [32] recovered,covid [32] bts,suga [29] fully,recovered [24] suga,full Top Word Pairs in Tweet in G5:
[14] covid,cases [10] covid,patients [9] deep,disappointment [9] disappointment,sage's [9] sage's,soothsayers [9] soothsayers,prediction [9] prediction,2million [9] 2million,covid [9] cases,day [9] day,end Top Word Pairs in Tweet in G6:
[107] negative,things [107] things,2022 [107] 2022,covid [107] covid,tests [106] swaggywille,negative Top Word Pairs in Tweet in G7:
[47] covid,restrictions [46] protest,against [46] against,covid [36] police,beat [36] beat,person [36] person,reportedly [36] reportedly,woman [36] woman,following [36] following,arrest [36] arrest,protest Top Word Pairs in Tweet in G8:
[19] covid,19 [13] décédé,covid [13] 20,décembre [12] karim,patient [12] patient,filmé [12] filmé,par [12] par,afp [12] afp,réanimation [12] réanimation,montreuil [12] montreuil,décédé Top Word Pairs in Tweet in G9:
[13] ancienne,ministre [13] ministre,santé [13] santé,agnès [13] agnès,buzyn [13] buzyn,avait [13] avait,démissionné [13] démissionné,février [13] février,2020 [13] 2020,pleine [13] pleine,pandémie Top Word Pairs in Tweet in G10:
[28] covid,law [20] netherlands,government [20] government,banned [20] banned,fireworks [20] fireworks,punishment [20] punishment,disobeying [20] disobeying,covid [20] law,people [20] people,showed [19] aginnt,netherlands Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: