The graph represents a network of 10,625 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, 08 December 2022 at 10:27 UTC.
The requested start date was Thursday, 08 December 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 2-day, 0-hour, 4-minute period from Monday, 05 December 2022 at 12:15 UTC to Wednesday, 07 December 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 : 10625
Unique Edges : 6002
Edges With Duplicates : 11535
Total Edges : 17537
Number of Edge Types : 5
Retweet : 5219
MentionsInRetweet : 6045
Replies to : 1386
Tweet : 2853
Mentions : 2034
Self-Loops : 2897
Reciprocated Vertex Pair Ratio : 0.00380867032597737
Reciprocated Edge Ratio : 0.00758843879031358
Connected Components : 2757
Single-Vertex Connected Components : 877
Maximum Vertices in a Connected Component : 2972
Maximum Edges in a Connected Component : 6375
Maximum Geodesic Distance (Diameter) : 44
Average Geodesic Distance : 13.066153
Graph Density : 7.93851878100638E-05
Modularity : 0.569897
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,625 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, 08 December 2022 at 10:27 UTC.
The requested start date was Thursday, 08 December 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 2-day, 0-hour, 4-minute period from Monday, 05 December 2022 at 12:15 UTC to Wednesday, 07 December 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:
[1452] covid,19 [211] covid,vaccine [205] long,covid [172] manuelrico,hoy [172] during,covid [128] contra,covid [125] don,understand [124] aprobó,protocolo [124] gobierno,ayuso [124] días,gobierno Top Word Pairs in Tweet in G1:
[245] covid,19 [26] zero,covid [15] anti,covid [14] long,covid [14] 19,pandemic [13] covid,policy [11] covid,restrictions [11] casos,covid [11] during,covid [10] covid,vaccine Top Word Pairs in Tweet in G2:
[31] suspended,writing [31] myocarditis,risk [31] cited,cardiologist [31] cardiologist,world [31] mccullough,cited [31] risk,covid [31] world,suspended [31] dr,mccullough [31] writing,myocarditis [30] drelidavid,dr Top Word Pairs in Tweet in G3:
[43] covid,19 [27] young,adults [25] 18,29 [25] harm,young [25] clinical,harm [25] analysis,suggests [25] net,clinical [20] boosters,cause [20] suggests,covid [20] lockdowns,cause Top Word Pairs in Tweet in G4:
[24] covid,19 [13] elective,surgery [11] live,covid [9] re,covid [9] covid,infection [9] health,system [8] deliberate,effort [8] learned,live [8] positive,covid [8] effectively,addressing Top Word Pairs in Tweet in G5:
[218] covid,19 [94] combate,covid [94] mascarilla,vacunas [94] consciente,cuídate [94] combinación,mascarilla [94] mejor,combinación [94] vacunas,sé [94] sé,consciente [94] 19,mejor [94] #prevención,combate Top Word Pairs in Tweet in G6:
[31] side,effects [25] severe,side [24] manufacturers,accountable [24] effects,injuries [24] hold,manufacturers [24] accountable,alleged [24] plans,hold [24] desantis,plans [24] alleged,severe [17] elonmusk,desantis Top Word Pairs in Tweet in G7:
[58] covid,vaccine [56] take,covid [56] transplant,dying [56] refusing,take [56] old,girl [56] duke,university [56] 14,year [56] university,refuses [56] year,old [56] kidney,transplant Top Word Pairs in Tweet in G8:
[19] covid,19 [16] immune,system [16] long,covid [13] recommending,masking [13] covid,infection [13] shit,cdcgov [13] never,stopped [13] holy,shit [13] masking,again [13] again,personally Top Word Pairs in Tweet in G9:
[18] seconde,fois [18] parlement,européen [18] celui,mensonge [18] tant,retour [18] fois,notre [18] covid,devrait [18] ce,n'est [18] expliquer,parlement [18] refuse,seconde [18] pdg,#pfizer Top Word Pairs in Tweet in G10:
[122] understand,covid [121] everything,pretending [121] covid,spiking [121] spiking,again [121] pretending,over [121] don,understand [121] ve,tried [121] again,ve [121] over,pretending [121] tried,everything 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: