The graph represents a network of 11,728 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 Friday, 14 August 2020 at 07:38 UTC.
The requested start date was Friday, 14 August 2020 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 Tuesday, 11 August 2020 at 07:04 UTC to Thursday, 13 August 2020 at 07:06 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 : 11728
Unique Edges : 7099
Edges With Duplicates : 11807
Total Edges : 18906
Number of Edge Types : 5
Retweet : 5223
MentionsInRetweet : 6409
Mentions : 2742
Tweet : 3773
Replies to : 759
Self-Loops : 3813
Reciprocated Vertex Pair Ratio : 0.00477200424178155
Reciprocated Edge Ratio : 0.00949868073878628
Connected Components : 3779
Single-Vertex Connected Components : 1117
Maximum Vertices in a Connected Component : 747
Maximum Edges in a Connected Component : 2246
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.931112
Graph Density : 6.88919275500352E-05
Modularity : 0.576054
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,728 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 Friday, 14 August 2020 at 07:38 UTC.
The requested start date was Friday, 14 August 2020 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 Tuesday, 11 August 2020 at 07:04 UTC to Thursday, 13 August 2020 at 07:06 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:
[3867] covid,19 [171] ต,ค [166] map,soul [163] bts,map [137] due,covid [135] ร,ต [135] 11,ต [135] 19,pandemic [128] contra,covid [128] positive,covid Top Word Pairs in Tweet in G1:
[736] covid,19 [31] 19,pandemic [27] 19,cases [24] contra,covid [24] during,covid [20] 19,vaccine [17] pandemi,covid [16] #covid,19 [13] positive,covid [12] against,covid Top Word Pairs in Tweet in G2:
[138] covid,19 [70] exam,covid [59] mass,murder [59] murder,exam [59] covid,sop [59] sop,failing [59] failing,media [59] media,quiet [59] quiet,govt [59] govt,quiet Top Word Pairs in Tweet in G3:
[57] covid,19 [25] covid,deaths [14] covid,death [13] treat,covid [13] think,started [13] started,charging [13] charging,hospitals [13] hospitals,1200 [13] 1200,covid [13] death,instead Top Word Pairs in Tweet in G4:
[55] death,toll [41] covid,19 [31] covid,death [24] toll,europe [22] worst,death [21] absolutely,horrific [21] horrific,more [21] more,620 [21] 620,nhs [21] nhs,staff Top Word Pairs in Tweet in G5:
[171] ต,ค [135] bts,map [135] map,soul [133] ร,ต [133] 11,ต [122] คอนเส,ร [122] ต,bts [75] อมก,น [74] งออนไลน,และออฟไลน [73] soul,ท Top Word Pairs in Tweet in G6:
[14] covid,19 [6] hello,country [6] country,second [6] second,wave [6] wave,#covid_19 [6] #covid_19,begun [6] begun,government [6] government,forces [6] forces,take [5] matter,shame Top Word Pairs in Tweet in G7:
[52] covid,19 [28] 19,vaccine [18] russian,covid [10] clinical,trials [10] positive,covid [8] germany,russian [8] vaccine,sufficiently [8] sufficiently,tested [8] philippines,eyes [8] eyes,clinical Top Word Pairs in Tweet in G8:
[6] storia,dei [6] dei,parlamentari [6] parlamentari,col [6] col,sussidio [6] sussidio,covid [6] covid,vergognosa [6] vergognosa,ma [6] ma,non [6] non,conoscete [6] conoscete,anche Top Word Pairs in Tweet in G9:
[52] telangana,nsui [52] president,venkatbalmoor [50] nsui,state [50] state,president [50] venkatbalmoor,used [50] used,constitutional [50] constitutional,right [50] right,protest [50] protest,against [48] against,examination Top Word Pairs in Tweet in G10:
[58] ตอนน,ฉ [58] ฉ,นสนใจส [58] นสนใจส,ดค [58] ดค,อข [58] อข,าวท [58] าวท,รายงานว [58] รายงานว,าม [58] าม,ชาวญ [58] ชาวญ,ป [58] ป,นคนหน 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: