The graph represents a network of 8,482 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 September 2021 at 08:45 UTC.
The requested start date was Wednesday, 22 September 2021 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, 19-minute period from Sunday, 19 September 2021 at 12:06 UTC to Tuesday, 21 September 2021 at 12:25 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 : 8482
Unique Edges : 4018
Edges With Duplicates : 11368
Total Edges : 15386
Number of Edge Types : 5
Tweet : 3238
Replies to : 426
Mentions : 1469
Retweet : 4843
MentionsInRetweet : 5410
Self-Loops : 3275
Reciprocated Vertex Pair Ratio : 0.00405973611715239
Reciprocated Edge Ratio : 0.00808664259927798
Connected Components : 2235
Single-Vertex Connected Components : 1016
Maximum Vertices in a Connected Component : 2125
Maximum Edges in a Connected Component : 4582
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.052275
Graph Density : 9.62663368839139E-05
Modularity : 0.509808
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,482 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 September 2021 at 08:45 UTC.
The requested start date was Wednesday, 22 September 2021 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, 19-minute period from Sunday, 19 September 2021 at 12:06 UTC to Tuesday, 21 September 2021 at 12:25 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 : Coronavirus
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:
[1128] covid,19 [614] tage,inzidenz [612] gesundheittäglich,aktuelle [612] aktuelle,corona [612] corona,zahlen [612] erfahren,die [612] die,neuesten [612] neuesten,rki [612] rki,daten [612] daten,coronavirus Top Word Pairs in Tweet in G1:
[613] tage,inzidenz [612] gesundheittäglich,aktuelle [612] aktuelle,corona [612] corona,zahlen [612] erfahren,die [612] die,neuesten [612] neuesten,rki [612] rki,daten [612] daten,coronavirus [612] coronavirus,tage Top Word Pairs in Tweet in G2:
[250] coronavirus,vaccine [233] effective,young [231] pfizer,coronavirus [231] vaccine,safe [231] young,children [138] safe,effective [134] fda,authorization [133] breaking,news [133] news,pfizer [133] children,fda Top Word Pairs in Tweet in G3:
[147] covid,19 [107] 19,vaccine [107] vaccine,works [107] works,kids [107] kids,ages [107] ages,11 [105] pfizer,covid [97] breaking,pfizer [97] 11,plans [97] plans,seek Top Word Pairs in Tweet in G4:
[84] project,veritas [84] veritas,whistleblower [84] whistleblower,govt [84] govt,covering [84] covering,severe [84] severe,vaccine [84] vaccine,side [84] side,effects [83] toddstarnes,project [52] federal,health Top Word Pairs in Tweet in G5:
[68] september,2009 [68] 2009,pfizer [68] pfizer,pay [68] pay,billion [68] billion,fraudulent [68] fraudulent,marketing [68] marketing,september [68] september,2021 [68] 2021,pfizer [68] pfizer,coronavirus Top Word Pairs in Tweet in G6:
[27] covid,19 [23] american,samoa [23] samoa,reports [23] reports,first [23] first,case [23] case,coronavirus [19] health,minister [18] german,health [18] minister,jens [18] jens,spahn Top Word Pairs in Tweet in G7:
[29] carla,vizzotti [26] pandemia,coronavirus [26] ministra,salud [25] #arribacórdoba,#ahora [25] #ahora,#urgente [25] #urgente,salud [25] salud,pandemia [25] coronavirus,ministra [25] salud,nación [25] nación,carla Top Word Pairs in Tweet in G8:
[44] aufgabe,krankenhaus [44] krankenhaus,aktuell [44] aktuell,pandemiebewältigung [44] pandemiebewältigung,ohne [44] ohne,normalen [44] normalen,non [44] non,covid [44] covid,betrieb [44] betrieb,stören [43] celik_chn,aufgabe Top Word Pairs in Tweet in G9:
[2] vermont,vaccinated [2] vaccinated,state [2] state,september [2] september,16 [2] 16,record [2] record,high [2] high,338 [2] 338,cases [2] cases,same [2] same,date Top Word Pairs in Tweet in G10:
[24] #pmoi,#mek [22] #mek,#iran [22] #iran,#ncri [15] covid,19 [11] mek_iran,#pmoi [9] directo,vacunaciones [9] vacunaciones,suben [9] suben,italia [9] italia,tras [9] tras,obligatoriedad Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: