The graph represents a network of 10,403 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 September 2021 at 07:26 UTC.
The requested start date was Thursday, 30 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, 5-minute period from Monday, 27 September 2021 at 12:12 UTC to Wednesday, 29 September 2021 at 12:17 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 : 10403
Unique Edges : 5403
Edges With Duplicates : 11859
Total Edges : 17262
Number of Edge Types : 5
Retweet : 5274
MentionsInRetweet : 5979
Mentions : 1918
Tweet : 3618
Replies to : 473
Self-Loops : 3681
Reciprocated Vertex Pair Ratio : 0.00909550277918141
Reciprocated Edge Ratio : 0.0180270405608413
Connected Components : 3311
Single-Vertex Connected Components : 1221
Maximum Vertices in a Connected Component : 425
Maximum Edges in a Connected Component : 883
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.305866
Graph Density : 7.38180567505606E-05
Modularity : 0.542458
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,403 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 30 September 2021 at 07:26 UTC.
The requested start date was Thursday, 30 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, 5-minute period from Monday, 27 September 2021 at 12:12 UTC to Wednesday, 29 September 2021 at 12:17 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-19
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:
[6418] covid,19 [549] 19,vaccine [425] contra,covid [199] 19,pandemic [175] 19,cases [139] pfizer,biontech [123] 19,vaccination [123] against,covid [116] september,2021 [115] rwmalonemd,clear Top Word Pairs in Tweet in G1:
[1143] covid,19 [92] 19,vaccine [63] contra,covid [30] 19,pandemic [29] 19,cases [26] 19,vaccination [24] jawa,timur [24] against,covid [23] september,2021 [22] vaksinasi,covid Top Word Pairs in Tweet in G2:
[114] rwmalonemd,clear [106] clear,indicator [106] indicator,consequences [106] consequences,ongoing [106] ongoing,propaganda [106] propaganda,campaign [106] campaign,pervasive [106] pervasive,culture [106] culture,fear [106] fear,fear Top Word Pairs in Tweet in G3:
[99] covid,19 [28] 19,booster [19] 19,vaccine [16] booster,shot [16] vaccine,mandate [14] united,airlines [14] airlines,touting [14] touting,success [14] success,covid [14] mandate,saying Top Word Pairs in Tweet in G4:
[52] covid,19 [52] breaking,pfizer [52] pfizer,biontech [52] biontech,submitted [52] submitted,#covid19 [52] #covid19,vaccine [52] vaccine,data [52] data,children [52] children,ages [52] ages,11 Top Word Pairs in Tweet in G5:
[101] estou,indignada [101] indignada,meu [101] meu,assassinato [101] assassinato,reputação [101] reputação,desrespeito [101] desrespeito,memória [101] memória,querido [101] querido,amigo [101] amigo,enio [101] enio,mainardi Top Word Pairs in Tweet in G6:
[181] covid,19 [61] september,2021 [27] vaksin,covid [22] kes,covid [21] 28,september [18] situasi,semasa [18] 19,malaysia [18] norma,baharu [17] putuskan,rantaian [17] rantaian,covid Top Word Pairs in Tweet in G7:
[105] covid,19 [20] deaths,covid [20] 19,over [20] over,past [20] past,seven [20] seven,days [20] days,currently [20] currently,highest [20] highest,head [20] head,population Top Word Pairs in Tweet in G8:
[56] syukur,mendengar [56] mendengar,luahan [56] luahan,hati [56] hati,abang [56] abang,sarah [56] sarah,raissuddin [56] raissuddin,firdaus [56] firdaus,yang [56] yang,bercerita [56] bercerita,mengenai Top Word Pairs in Tweet in G9:
[25] covid,19 [14] use,rapid [14] ontario,government [14] rapid,antigen [14] antigen,tests [13] government,worried [13] worried,use [13] tests,false [13] false,positives [13] positives,infection Top Word Pairs in Tweet in G10:
[64] covid,19 [42] 19,vaccine [26] receive,covid [26] vaccine,italy [26] italy,continue [26] continue,work [25] drdavidsamadi,receive [19] italian,government [19] government,saying [19] saying,garnish Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: