The graph represents a network of 10,360 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 Tuesday, 26 October 2021 at 07:23 UTC.
The requested start date was Tuesday, 26 October 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, 7-minute period from Saturday, 23 October 2021 at 12:10 UTC to Monday, 25 October 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 : 10360
Unique Edges : 5470
Edges With Duplicates : 11905
Total Edges : 17375
Number of Edge Types : 5
Retweet : 5300
MentionsInRetweet : 6041
Replies to : 522
Mentions : 2103
Tweet : 3409
Self-Loops : 3460
Reciprocated Vertex Pair Ratio : 0.0058859595340282
Reciprocated Edge Ratio : 0.0117030354748263
Connected Components : 3131
Single-Vertex Connected Components : 1123
Maximum Vertices in a Connected Component : 1354
Maximum Edges in a Connected Component : 3093
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 9.058194
Graph Density : 7.64355021522702E-05
Modularity : 0.545744
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,360 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 Tuesday, 26 October 2021 at 07:23 UTC.
The requested start date was Tuesday, 26 October 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, 7-minute period from Saturday, 23 October 2021 at 12:10 UTC to Monday, 25 October 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:
[6356] covid,19 [363] contra,covid [295] vacinas,não [275] 19,vaccine [188] grup,toplantımız [165] 19,vaccines [162] against,covid [152] 19,pandemic [151] 19,cases [126] tbmm,grup Top Word Pairs in Tweet in G1:
[1051] covid,19 [61] contra,covid [45] against,covid [44] 19,vaccine [40] vaccinated,against [38] 19,pandemic [31] national,news [31] news,effort [31] effort,more [31] more,more Top Word Pairs in Tweet in G2:
[171] covid,19 [55] contra,covid [48] propagación,covid [44] sistema,permitirá [44] permitirá,controlar [44] controlar,propagación [44] 19,sumado [33] sumado,medidas [30] lucha,contra [28] pueblo,venezolano Top Word Pairs in Tweet in G3:
[81] covid,19 [20] 19,vaccination [18] 100,crore [17] pm,narendramodi [15] india,remarkable [14] 19,vaccine [14] narendramodi,ji [14] त,र [13] vaccination,drive [13] remarkable,covid Top Word Pairs in Tweet in G4:
[65] covid,19 [55] nurses,doctors [55] doctors,technicians [55] technicians,first [55] first,responders [55] responders,gone [55] gone,above [55] above,beyond [55] beyond,provide [55] provide,care Top Word Pairs in Tweet in G5:
[174] covid,19 [23] 19,vaccines [21] 19,vaccine [18] although,official [18] official,tally [18] tally,deaths [18] deaths,caused [18] caused,covid [18] 19,9m [18] 9m,single Top Word Pairs in Tweet in G6:
[12] 19,year [12] year,old [12] old,girl [12] girl,girlfriends [12] girlfriends,work [12] work,icu [12] icu,covid [12] covid,apparently [12] apparently,double [12] double,died Top Word Pairs in Tweet in G7:
[294] vacinas,não [106] covid,19 [98] não,causam [98] causam,aids [98] aids,hiv [98] hiv,vacinas [98] não,alteram [98] alteram,dna [98] dna,vacinas [98] não,aumentam Top Word Pairs in Tweet in G8:
[23] possible,surrisque [23] surrisque,myocardites [22] grande,manifestation [22] manifestation,contre [22] contre,pass [22] pass,sanitaire [22] sanitaire,devant [22] devant,palais [22] palais,fédéral [22] fédéral,berne Top Word Pairs in Tweet in G9:
[82] covid,19 [75] retweet,agree [73] rob_kimbell,support [43] support,covid [43] 19,passports [43] passports,retweet [32] support,punishing [32] punishing,penalising [32] penalising,covid [32] 19,unvaccinated Top Word Pairs in Tweet in G10:
[94] ก,ถามจร [94] ถามจร,งcovid [94] งcovid,19ได [94] 19ได,เห [94] เห,ยไรในแง [94] ยไรในแง,บวกวะ [94] บวกวะ,ถามอะไรโง [94] ถามอะไรโง,ๆ [94] ๆ,#missuniversethailand2021 [93] charlqx__,ก Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: