The graph represents a network of 8,848 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 09:48 UTC.
The requested start date was Wednesday, 02 December 2020 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 3-day, 0-hour, 13-minute period from Saturday, 28 November 2020 at 05:27 UTC to Tuesday, 01 December 2020 at 05:41 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 : 8848
Unique Edges : 3910
Edges With Duplicates : 12258
Total Edges : 16168
Number of Edge Types : 5
Replies to : 420
Mentions : 1335
Retweet : 5600
MentionsInRetweet : 6059
Tweet : 2754
Self-Loops : 2803
Reciprocated Vertex Pair Ratio : 0.00110132158590308
Reciprocated Edge Ratio : 0.0022002200220022
Connected Components : 2229
Single-Vertex Connected Components : 949
Maximum Vertices in a Connected Component : 2708
Maximum Edges in a Connected Component : 5812
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.306176
Graph Density : 9.28993614778541E-05
Modularity : 0.503092
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,848 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 December 2020 at 09:48 UTC.
The requested start date was Wednesday, 02 December 2020 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 3-day, 0-hour, 13-minute period from Saturday, 28 November 2020 at 05:27 UTC to Tuesday, 01 December 2020 at 05:41 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 : Coronavirus
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:
[778] covid,19 [522] tested,coronavirus [368] up10tion,bitto [358] coronavirus,cases [354] appearing,same [353] coronavirus,appearing [319] negative,coronavirus [307] same,inkigayo [293] inkigayo,episode [286] april,naeun Top Word Pairs in Tweet in G1:
[117] covid,19 [41] #coronavirus,#covid19 [30] #covid19,#coronavirus [29] coronavirus,vaccine [26] क,र [26] र,न [25] coronavirus,cases [19] coronavirus,pandemic [19] scott,atlas [18] न,क Top Word Pairs in Tweet in G2:
[511] tested,coronavirus [367] up10tion,bitto [352] coronavirus,appearing [352] appearing,same [317] negative,coronavirus [306] same,inkigayo [292] inkigayo,episode [283] april,naeun [283] naeun,tested [280] episode,up10tion Top Word Pairs in Tweet in G3:
[73] covid,19 [32] prime,minister [32] public,health [30] spread,coronavirus [28] increasingly,concerned [26] health,officials [26] officials,growing [26] growing,increasingly [26] concerned,spread [26] coronavirus,millions Top Word Pairs in Tweet in G4:
[59] vetting,life [59] life,consequences [59] consequences,hannity [59] hannity,pushed [59] pushed,hydroxychloroquine [59] hydroxychloroquine,magic [59] magic,bullet [59] bullet,#coronavirus [59] mid,december [58] morethanmysle,vetting Top Word Pairs in Tweet in G5:
[70] state,kansas [70] kansas,issued [70] issued,mask [70] mask,mandate [70] mandate,81 [70] 81,counties [70] counties,opted [70] opted,researchers [70] researchers,found [70] found,coronavirus Top Word Pairs in Tweet in G6:
[36] covid,deaths [18] million,covid [18] deaths,million [18] million,pop [11] coronavirus,task [11] task,force [9] south,korea [9] korea,population [9] population,51 [9] 51,million Top Word Pairs in Tweet in G7:
[56] mid,december [56] few,weeks [37] shaniben_ezra,cdcgov [37] cdcgov,found [37] found,#coronavirus [37] #coronavirus,antibodies [37] antibodies,blood [37] blood,samples [37] samples,collected [37] collected,west Top Word Pairs in Tweet in G8:
[52] covid,19 [47] australian,airline [47] airline,qantas [47] qantas,require [47] require,future [47] future,international [47] international,travelers [47] travelers,prove [47] prove,vaccinated [47] vaccinated,against Top Word Pairs in Tweet in G9:
[116] ding,ding [59] 2020,word [58] choose,word [58] word,rose [58] rose,above [58] above,2020 [58] word,ding [58] ding,merriam [58] merriam,webster [58] webster,announced Top Word Pairs in Tweet in G10:
[78] million,jul [78] million,aug [42] coronavirus,cases [40] 10,million [39] cases,apr [39] apr,28 [39] 28,million [39] million,jun [39] jun,10 [39] jul,million Top Replied-To in Entire Graph:
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 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: