The graph represents a network of 8,857 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 Sunday, 31 October 2021 at 09:13 UTC.
The requested start date was Sunday, 31 October 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, 21-minute period from Thursday, 28 October 2021 at 12:04 UTC to Saturday, 30 October 2021 at 12:25 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 : 8857
Unique Edges : 4066
Edges With Duplicates : 11386
Total Edges : 15452
Number of Edge Types : 5
Tweet : 2922
Retweet : 5111
MentionsInRetweet : 5631
Mentions : 1356
Replies to : 432
Self-Loops : 2963
Reciprocated Vertex Pair Ratio : 0.00454029511918275
Reciprocated Edge Ratio : 0.00903954802259887
Connected Components : 2486
Single-Vertex Connected Components : 1091
Maximum Vertices in a Connected Component : 1793
Maximum Edges in a Connected Component : 4125
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 8.451106
Graph Density : 9.02628423371283E-05
Modularity : 0.524245
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,857 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 Sunday, 31 October 2021 at 09:13 UTC.
The requested start date was Sunday, 31 October 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, 21-minute period from Thursday, 28 October 2021 at 12:04 UTC to Saturday, 30 October 2021 at 12:25 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:
[809] covid,19 [303] coronavirus,vaccine [203] urgente,coronavirus [189] alertanews24,urgente [177] vaccine,mandate [141] fully,vaccinated [137] vaccinated,against [136] gestión,coronavirus [135] fyi,millions [135] millions,americans Top Word Pairs in Tweet in G1:
[175] covid,19 [36] #coronavirus,#covid19 [33] #covid19,#coronavirus [29] contra,coronavirus [25] coronavirus,cases [23] coronavirus,pandemic [18] against,covid [17] coronavirus,infections [17] time,admit [17] admit,pandemic Top Word Pairs in Tweet in G2:
[75] vaccine,mandate [72] biden,administration [70] several,states [70] states,sue [70] sue,biden [70] administration,halt [70] halt,federal [70] federal,vaccine [69] icymi,12 [69] 12,000 Top Word Pairs in Tweet in G3:
[192] urgente,coronavirus [179] alertanews24,urgente [108] inicio,pandemia [96] coronavirus,ascienden [69] ascienden,millones [69] millones,muertos [69] muertos,mundo [69] mundo,inicio [61] alertanews24,coronavirus [48] coronavirus,alemania Top Word Pairs in Tweet in G4:
[26] covid,19 [23] coronavirus,vaccine [11] live,updates [10] parents,eager [10] eager,coronavirus [10] vaccine,wavering [10] wavering,vaccinating [10] vaccinating,kids [10] facebook,researchers [10] researchers,deep Top Word Pairs in Tweet in G5:
[31] echt,waar [31] waar,ongewoon [31] ongewoon,veel [31] veel,bijwerkingen [31] bijwerkingen,dat [31] dat,terwijl [31] terwijl,immuunsysteem [31] immuunsysteem,3e [31] 3e,keer [30] hommel_b,echt Top Word Pairs in Tweet in G6:
[134] fyi,millions [134] millions,americans [134] americans,lose [134] lose,livelihoods [134] livelihoods,won [134] won,vaccinated [134] vaccinated,justification [133] jessekellydc,fyi [133] justification,th [3] today,without Top Word Pairs in Tweet in G7:
[116] billion,coronavirus [116] coronavirus,vaccine [116] vaccine,doses [116] doses,administered [116] administered,worldwide [114] spectatorindex,billion [11] lockdown,rules [11] rules,uk [11] uk,cases [11] cases,skyrocket Top Word Pairs in Tweet in G8:
[9] unvaccinated,people [9] people,previously [9] previously,recovered [9] recovered,coronavirus [9] coronavirus,infection [9] infection,five [9] five,times [9] times,covid [8] carlzimmer,unvaccinated [8] covid,peo Top Word Pairs in Tweet in G9:
[81] gov,pete [81] pete,ricketts [81] ricketts,signs [81] signs,executive [81] executive,order [81] order,barring [81] barring,state [81] state,agencies [81] agencies,enforcing [81] enforcing,coronavirus Top Word Pairs in Tweet in G10:
[107] salen,luz [107] luz,cuentas [107] cuentas,ayuso [107] ayuso,gobierno [107] gobierno,central [107] central,pagó [107] pagó,99 [107] 99,gestión [107] gestión,coronavirus [88] el_plural,salen Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
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: