The graph represents a network of 11,679 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, 22 June 2022 at 07:50 UTC.
The requested start date was Wednesday, 22 June 2022 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 4-day, 0-hour, 3-minute period from Friday, 17 June 2022 at 12:16 UTC to Tuesday, 21 June 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 : 11679
Unique Edges : 7129
Edges With Duplicates : 11325
Total Edges : 18454
Number of Edge Types : 5
Retweet : 5111
MentionsInRetweet : 6168
Tweet : 2844
Replies to : 1432
Mentions : 2899
Self-Loops : 2880
Reciprocated Vertex Pair Ratio : 0.00624811045046861
Reciprocated Edge Ratio : 0.0124186279419129
Connected Components : 3082
Single-Vertex Connected Components : 947
Maximum Vertices in a Connected Component : 2210
Maximum Edges in a Connected Component : 4606
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 14.141043
Graph Density : 7.32105955682316E-05
Modularity : 0.600522
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,679 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, 22 June 2022 at 07:50 UTC.
The requested start date was Wednesday, 22 June 2022 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 4-day, 0-hour, 3-minute period from Friday, 17 June 2022 at 12:16 UTC to Tuesday, 21 June 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:
[1803] covid,19 [351] long,covid [181] during,covid [169] covid,vaccines [165] covid,vaccine [155] manuelrico,hoy [108] días,gobierno [108] gobierno,ayuso [108] ayuso,aprobó [108] aprobó,protocolo Top Word Pairs in Tweet in G1:
[221] covid,19 [22] long,covid [17] teste,covid [15] covid,cases [14] contra,covid [14] 19,cases [12] covid,vaccine [12] 19,vaccines [11] children,under [10] during,covid Top Word Pairs in Tweet in G2:
[31] covid,19 [21] cas,covid [15] crise,covid [13] contre,covid [13] ce,matin [13] professionnels,santé [13] ce,soir [13] depuis,gestion [13] gestion,crise [13] covid,n'ai Top Word Pairs in Tweet in G3:
[48] long,covid [19] covid,19 [16] more,more [16] more,evidence [16] evidence,accumulating [16] accumulating,covid [16] 19,causes [16] causes,chronic [16] chronic,illness [16] illness,many Top Word Pairs in Tweet in G4:
[15] covid,19 [14] covid,cases [14] please,postpone [14] postpone,jee [12] jee,mains [10] covid,batch [9] due,covid [9] age,relaxation [9] modi,government [9] government,agnipath Top Word Pairs in Tweet in G5:
[45] remember,told [45] told,covid [45] covid,opportunity [45] opportunity,global [45] global,reset [45] reset,telling [45] telling,inflation [44] ericmmatheny,remember [39] pfizer,trials [39] trials,more Top Word Pairs in Tweet in G6:
[22] covid,19 [9] covid,reinfections [9] reinfections,benign [9] benign,39 [9] 39,000 [9] 000,people [9] people,reinfections [9] reinfections,vs [9] vs,million [9] million,controls Top Word Pairs in Tweet in G7:
[155] manuelrico,hoy [108] días,gobierno [108] gobierno,ayuso [108] ayuso,aprobó [108] aprobó,protocolo [108] protocolo,impedía [108] impedía,trasladar [108] trasladar,hospital [108] hospital,residentes [101] residentes,vulnerab Top Word Pairs in Tweet in G8:
[23] basically,people [23] people,spent [23] spent,covid [23] covid,saying [23] saying,kept [23] kept,country [23] country,running [23] running,seems [23] seems,deserve [23] deserve,pay Top Word Pairs in Tweet in G9:
[79] covid,19 [23] 19,venezuela [19] contra,covid [13] #envideo,covid [13] venezuela,registró [13] casos,comunitarios [13] pacientes,recuperados [12] casos,covid [11] importados,517 [10] comunitarios,importados Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: