The graph represents a network of 8,965 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 September 2022 at 07:30 UTC.
The requested start date was Sunday, 11 September 2022 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, 8-minute period from Wednesday, 07 September 2022 at 12:09 UTC to Friday, 09 September 2022 at 12:17 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 : 8965
Unique Edges : 4073
Edges With Duplicates : 12656
Total Edges : 16729
Number of Edge Types : 5
Retweet : 5784
MentionsInRetweet : 6438
Tweet : 2248
Replies to : 434
Mentions : 1825
Self-Loops : 2308
Reciprocated Vertex Pair Ratio : 0.0055179332831703
Reciprocated Edge Ratio : 0.0109753055624844
Connected Components : 2129
Single-Vertex Connected Components : 858
Maximum Vertices in a Connected Component : 800
Maximum Edges in a Connected Component : 2671
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 4.966211
Graph Density : 9.97732019980523E-05
Modularity : 0.522175
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,965 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 September 2022 at 07:30 UTC.
The requested start date was Sunday, 11 September 2022 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, 8-minute period from Wednesday, 07 September 2022 at 12:09 UTC to Friday, 09 September 2022 at 12:17 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-19
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:
[5125] covid,19 [3350] ˆà,ˆà [2423] ˆà,ªà [1747] µà,ˆà [1734] ˆà,µà [1649] µà,šà [1629] šà,µà [968] ãƒ,ム[859] ªà,šà [845] žà,ˆà Top Word Pairs in Tweet in G1:
[780] covid,19 [133] î,î [89] ø,ø [88] ø,ù [79] ù,ø [79] ãƒ,ム[63] 19,pandemic [45] ù,ù [26] contra,covid [26] during,covid Top Word Pairs in Tweet in G2:
[3211] ˆà,ˆà [2411] ˆà,ªà [1640] ˆà,µà [1639] µà,ˆà [1593] µà,šà [1592] šà,µà [819] žà,ˆà [816] mirai_neko39,ˆà [798] šà,žà [797] µà,ƒà Top Word Pairs in Tweet in G3:
[859] covid,19 [386] #prevenciã,nðÿ [351] vtvcanal8,#prevenciã [231] contra,covid [229] control,covid [218] contenciã,mitigaciã [218] primera,controla [218] controla,contagio [218] contagio,evita [213] nðÿ,control Top Word Pairs in Tweet in G4:
[114] covid,19 [36] sã,vã [35] passe,administrez [35] administrez,fortes [35] fortes,doses [35] doses,vitamine [35] vitamine,patients [35] patients,atteints [35] atteints,covid [35] 19,sã Top Word Pairs in Tweet in G5:
[127] covid,19 [71] dias,luto [66] brasil,nã [66] nã,merece [66] merece,presidente [66] presidente,debocha [66] debocha,mais [66] mais,680 [66] 680,mil [66] mil,vidas Top Word Pairs in Tweet in G6:
[89] covid,19 [21] 100,days [20] long,term [19] days,mild [19] mild,covid [19] covid,infection [19] infection,73 [19] 73,still [19] still,cardiac [19] cardiac,symptoms Top Word Pairs in Tweet in G7:
[64] dã,solã [64] solã,gars [64] gars,hein [64] hein,allez [64] allez,salut [63] pierre_gtil,dã [21] covid,19 [20] bonjour,twitter [20] twitter,sais [20] sais,tendance Top Word Pairs in Tweet in G8:
[5] covid,19 [2] dubl_yew,colin_sense [2] colin_sense,thelynnerd [2] thelynnerd,seems [2] seems,more [2] more,recent [2] recent,analysis [2] analysis,showed [2] showed,80 [2] 80,nhs Top Word Pairs in Tweet in G9:
[96] covid,19 [59] œpolitical,leanâ [59] leanâ,emerged [59] emerged,one [59] one,best [59] best,indicators [59] indicators,covid [59] 19,death [59] death,rates [59] rates,much Top Word Pairs in Tweet in G10:
[56] armed,forces [54] cosponsoring,hr [54] hr,3860 [54] 3860,legislation [54] legislation,introduced [54] introduced,prevent [54] prevent,members [54] members,armed [52] forces,being [52] being,forced Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: