The graph represents a network of 10,725 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 Saturday, 08 October 2022 at 07:30 UTC.
The requested start date was Saturday, 08 October 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, 4-minute period from Tuesday, 04 October 2022 at 12:15 UTC to Thursday, 06 October 2022 at 12:19 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 : 10725
Unique Edges : 6172
Edges With Duplicates : 11765
Total Edges : 17937
Number of Edge Types : 5
Tweet : 2428
Retweet : 5340
MentionsInRetweet : 6498
Mentions : 2254
Replies to : 1417
Self-Loops : 2463
Reciprocated Vertex Pair Ratio : 0.00641564997896508
Reciprocated Edge Ratio : 0.0127495036053924
Connected Components : 2584
Single-Vertex Connected Components : 714
Maximum Vertices in a Connected Component : 2754
Maximum Edges in a Connected Component : 6138
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 9.777218
Graph Density : 8.31979160960884E-05
Modularity : 0.58
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,725 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 Saturday, 08 October 2022 at 07:30 UTC.
The requested start date was Saturday, 08 October 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, 4-minute period from Tuesday, 04 October 2022 at 12:15 UTC to Thursday, 06 October 2022 at 12:19 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:
[1554] covid,19 [218] manuelrico,hoy [212] long,covid [156] contra,covid [153] during,covid [147] días,gobierno [147] gobierno,ayuso [147] ayuso,aprobó [147] aprobó,protocolo [147] protocolo,impedía Top Word Pairs in Tweet in G1:
[155] covid,19 [24] leggi,più [24] più,#casaitaliaradio [24] #radio,#casa [24] #casa,#home [24] #home,#design [24] #design,#politica [24] #politica,#interiordesign [24] #interiordesign,#covid [24] #covid,#news Top Word Pairs in Tweet in G2:
[129] drsimonegold,breaking [104] received,249 [104] 249,records [104] records,department [104] department,health [104] health,human [104] human,services [104] services,hhs [104] hhs,detailing [99] breaking,judicialwatch Top Word Pairs in Tweet in G3:
[43] covid,19 [24] long,covid [23] wearing,masks [22] wear,masks [21] ve,stopped [21] stopped,wearing [21] masks,shame [21] shame,starting [21] starting,wear [21] masks,again Top Word Pairs in Tweet in G4:
[218] manuelrico,hoy [147] días,gobierno [147] gobierno,ayuso [147] ayuso,aprobó [147] aprobó,protocolo [147] protocolo,impedía [147] impedía,trasladar [147] trasladar,hospital [147] hospital,residentes [142] residentes,vulnerab Top Word Pairs in Tweet in G5:
[29] l'ordre,médecins [28] 10,22 [27] devant,l'ordre [26] honteux,dr [26] dr,patrice [26] patrice,pezet [26] pezet,cardiologue [26] cardiologue,cholet [26] cholet,convoqué [26] convoqué,12 Top Word Pairs in Tweet in G6:
[194] covid,19 [68] 19,venezuela [68] venezuela,registra [57] medidas,bioseguridad [55] contra,covid [52] buenos,días [49] vtvcanal8,#prevención [45] pacientes,recuperados [35] #envideo,covid [33] tomen,todas Top Word Pairs in Tweet in G7:
[22] covid,19 [17] long,covid [12] mild,covid [12] vascular,system [11] infected,covid [11] wear,masks [11] died,covid [10] preventing,people [10] people,becoming [10] becoming,infected Top Word Pairs in Tweet in G8:
[28] china,starts [28] starts,enforcing [28] enforcing,zero [28] zero,covid [28] covid,policy [28] policy,machine [28] machine,guns [28] guns,xishuangbanna [28] xishuangbanna,airport [28] airport,yunnan Top Word Pairs in Tweet in G9:
[9] everyone,concerned [9] concerned,sick [9] sick,disabled [9] disabled,people [9] people,being [9] being,afraid [9] afraid,leave [9] leave,homes [9] homes,bc [9] bc,covid Top Word Pairs in Tweet in G10:
[57] covid,19 [43] 19,pandemic [41] pandemic,awarded [41] awarded,thomas [40] drtedros,dg [40] dg,led [40] led,covid [40] thomas,francis [40] francis,jr [40] jr,medal 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: