The graph represents a network of 12,005 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, 01 July 2021 at 09:52 UTC.
The requested start date was Thursday, 01 July 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, 1-minute period from Monday, 28 June 2021 at 12:21 UTC to Wednesday, 30 June 2021 at 12:22 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 : 12005
Unique Edges : 7021
Edges With Duplicates : 11675
Total Edges : 18696
Number of Edge Types : 5
Tweet : 3808
Retweet : 5231
MentionsInRetweet : 6235
Replies to : 863
Mentions : 2559
Self-Loops : 3843
Reciprocated Vertex Pair Ratio : 0.00739371534195933
Reciprocated Edge Ratio : 0.0146788990825688
Connected Components : 3904
Single-Vertex Connected Components : 1169
Maximum Vertices in a Connected Component : 675
Maximum Edges in a Connected Component : 1448
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.274794
Graph Density : 6.42920498109682E-05
Modularity : 0.578069
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,005 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, 01 July 2021 at 09:52 UTC.
The requested start date was Thursday, 01 July 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, 1-minute period from Monday, 28 June 2021 at 12:21 UTC to Wednesday, 30 June 2021 at 12:22 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:
[2782] covid,19 [212] contra,covid [146] covid,vaccine [120] 19,vaccine [118] delta,variant [109] covid,cases [109] fully,vaccinated [99] long,covid [96] ว,คซ [92] cpi,covid Top Word Pairs in Tweet in G1:
[449] covid,19 [37] contra,covid [24] covid,cases [20] military,junta [18] crisis,covid [18] covid,vaccine [17] #june30coup,#whatshappeninginmyanmar [16] illegitimate,military [16] incapable,successfully [16] successfully,managing Top Word Pairs in Tweet in G2:
[80] covid,19 [27] india,proud [27] proud,efforts [27] efforts,doctors [27] doctors,fighting [27] fighting,covid [27] 19,1st [27] 1st,july [27] july,marked [27] marked,national Top Word Pairs in Tweet in G3:
[9] mon,beau [9] beau,père [9] covid,19 [7] chez,pascalpraud [7] pascalpraud,ce [7] ce,matin [7] matin,nicolas [7] nicolas,estiennes [7] estiennes,orves [7] orves,mon Top Word Pairs in Tweet in G4:
[9] covid,19 [5] young,adult [5] particularly,concerned [5] concerned,calls [5] calls,covid [5] covid,measures [5] measures,continue [5] continue,reduce [5] reduce,respiratory [5] respiratory,infections Top Word Pairs in Tweet in G5:
[7] covid,rules [7] matt,hancock [7] emergency,covid [6] matt,hancock's [6] lord,bethell [6] covid,contract [5] high,court [5] covid,19 [5] use,private [5] borisjohnson,using Top Word Pairs in Tweet in G6:
[4] symptoms,still [4] still,getting [4] getting,tested [4] tested,covid [4] covid,part [4] part,problem [4] world,capita [3] respect65,symptoms [2] mother,three [2] three,47 Top Word Pairs in Tweet in G7:
[23] covid,19 [19] public,health [19] health,scotland [19] scotland,total [19] total,991 [19] 991,covid [19] 19,cases [19] cases,scotland [19] scotland,linked [19] linked,fans Top Word Pairs in Tweet in G8:
[24] fully,vaccinated [23] cdc,fully [23] vaccinated,resume [23] resume,activities [23] activities,without [23] without,wearing [23] wearing,mask [23] mask,physical [22] melindaperle,cdc [22] physical,distanci Top Word Pairs in Tweet in G9:
[19] covid,19 [13] pfizer,biontech [13] biontech,moderna [13] moderna,covid [13] 19,vaccines [13] vaccines,protect [13] protect,against [13] against,coronavirus [13] coronavirus,years [13] years,study Top Word Pairs in Tweet in G10:
[4] ravinderkapur2,tajendrarajora [4] tajendrarajora,tweetinder [4] tweetinder,dsouza_wilbro [4] dsouza_wilbro,krisnair1 [4] krisnair1,samharris2429 [4] samharris2429,shuchitasrivast [4] shuchitasrivast,joesaldanha [3] covid,victims [3] र,क [2] bjp,prepared 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 G5:
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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: