The graph represents a network of 11,602 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, 13 August 2020 at 09:41 UTC.
The requested start date was Thursday, 13 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 Monday, 10 August 2020 at 07:04 UTC to Wednesday, 12 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 : 11602
Unique Edges : 6799
Edges With Duplicates : 11876
Total Edges : 18675
Number of Edge Types : 5
Retweet : 5313
MentionsInRetweet : 6325
Tweet : 3718
Mentions : 2582
Replies to : 737
Self-Loops : 3754
Reciprocated Vertex Pair Ratio : 0.00443867056403594
Reciprocated Edge Ratio : 0.00883811166199612
Connected Components : 3670
Single-Vertex Connected Components : 1059
Maximum Vertices in a Connected Component : 759
Maximum Edges in a Connected Component : 1999
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.635412
Graph Density : 6.89328255039151E-05
Modularity : 0.572747
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,602 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, 13 August 2020 at 09:41 UTC.
The requested start date was Thursday, 13 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 Monday, 10 August 2020 at 07:04 UTC to Wednesday, 12 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:
[3881] covid,19 [195] covid,free [177] free,december [150] due,covid [145] positive,covid [129] 19,cases [120] during,covid [109] covid,cases [108] 19,pandemic [106] tested,positive Top Word Pairs in Tweet in G1:
[700] covid,19 [31] 19,pandemic [23] during,covid [20] 19,cases [17] pandemi,covid [16] positive,covid [15] 19,vaccine [13] due,covid [12] positif,covid [12] #covid,19 Top Word Pairs in Tweet in G2:
[118] covid,19 [69] entrance,exam [40] drrpnishank,hrdministry [38] hrdministry,dg_nta [33] amidst,covid [31] kcet,aur [31] aur,ed [31] ed,entrance [31] exam,nahi [31] nahi,thi Top Word Pairs in Tweet in G3:
[17] covid,19 [14] covid,death [14] covid,deaths [13] think,started [13] started,charging [13] charging,hospitals [13] hospitals,1200 [13] 1200,covid [13] death,instead [13] instead,paying Top Word Pairs in Tweet in G4:
[112] covid,free [112] free,december [58] december,plss [58] plss,great [58] great,christmas [58] christmas,gift [57] obzayn,covid [50] make,happen [32] december,please [32] please,make Top Word Pairs in Tweet in G5:
[103] ตอนน,ฉ [103] ฉ,นสนใจส [103] นสนใจส,ดค [103] ดค,อข [103] อข,าวท [103] าวท,รายงานว [103] รายงานว,าม [103] าม,ชาวญ [103] ชาวญ,ป [103] ป,นคนหน Top Word Pairs in Tweet in G6:
[16] covid,19 [11] power,bills [10] goa,electricity [10] electricity,department [6] last,24 [6] 24,hours [6] whole,country [6] country,suffering [6] suffering,covid [6] 19,pandemic Top Word Pairs in Tweet in G7:
[28] 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] dr,fauci Top Word Pairs in Tweet in G8:
[34] covid,19 [8] article,re [8] re,cent [8] cent,tory [8] tory,more [8] more,ten [8] ten,dentious [8] dentious,hys [8] hys,ter [8] ter,cal Top Word Pairs in Tweet in G9:
[88] yes,yes [88] yes,zealand [88] zealand,doing [88] doing,great [88] great,covid [88] covid,perhaps [88] perhaps,spare [88] spare,praise [88] praise,vietnam [88] vietnam,vietnam Top Word Pairs in Tweet in G10:
[26] perhaps,covid [26] covid,recession [26] recession,inevitable [26] inevitable,exams [26] exams,fiasco [26] fiasco,latest [26] latest,long [26] long,line [25] campbellclaret,perhaps [19] death,toll Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: