The graph represents a network of 11,882 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, 29 April 2021 at 07:48 UTC.
The requested start date was Wednesday, 28 April 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, 0-minute period from Sunday, 25 April 2021 at 13:30 UTC to Tuesday, 27 April 2021 at 13:30 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 : 11882
Unique Edges : 7560
Edges With Duplicates : 12318
Total Edges : 19878
Number of Edge Types : 5
Retweet : 5545
MentionsInRetweet : 6872
Tweet : 3720
Mentions : 2982
Replies to : 759
Self-Loops : 3755
Reciprocated Vertex Pair Ratio : 0.00446517166104386
Reciprocated Edge Ratio : 0.00889064506569199
Connected Components : 3593
Single-Vertex Connected Components : 1065
Maximum Vertices in a Connected Component : 2074
Maximum Edges in a Connected Component : 4429
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.999991
Graph Density : 7.17078486099763E-05
Modularity : 0.575574
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,882 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, 29 April 2021 at 07:48 UTC.
The requested start date was Wednesday, 28 April 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, 0-minute period from Sunday, 25 April 2021 at 13:30 UTC to Tuesday, 27 April 2021 at 13:30 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:
[3022] covid,19 [443] contra,covid [328] etiqueta,día [268] medidas,bioseguridad [175] bioseguridad,contra [174] refuerza,medidas [156] #abrazalavida,refuerza [156] sabemos,cómo [155] cómo,hacerlo [155] against,covid Top Word Pairs in Tweet in G1:
[383] covid,19 [36] 19,vaccine [35] contra,covid [22] covid,vaccine [17] cpi,covid [14] #covid,19 [13] 19,pandemic [12] 19,cases [12] क,ल [11] covid,cases Top Word Pairs in Tweet in G2:
[594] covid,19 [293] etiqueta,día [271] contra,covid [245] medidas,bioseguridad [170] bioseguridad,contra [169] refuerza,medidas [152] #abrazalavida,refuerza [140] día,#abrazalavida [139] sabemos,cómo [138] cómo,hacerlo Top Word Pairs in Tweet in G3:
[104] covid,19 [24] pm,narendramodi [22] prime,minister [22] covid,crisis [20] र,क [19] minister,narendramodi [19] covid,care [17] premier,league [16] क,स [16] indian,premier Top Word Pairs in Tweet in G4:
[30] blood,group [26] covid,19 [23] plasma,donor [22] need,plasma [17] patient,blood [15] donor,needed [15] needed,urgent [15] urgent,venkateshwara [15] venkateshwara,hospital [15] hospital,dwarka Top Word Pairs in Tweet in G5:
[28] covid,19 [23] please,help [22] covid,patient [16] क,य [15] urgent,help [15] donor,required [15] न,क [14] help,needed [14] donor,covid [13] required,donor Top Word Pairs in Tweet in G6:
[37] covid,19 [12] november,nytimes [12] nytimes,published [12] published,article [12] article,efforts [12] efforts,asia [12] asia,fight [12] fight,back [12] back,covid [12] covid,mentioned Top Word Pairs in Tweet in G7:
[27] star,hotel [26] 85,year [26] year,old [25] old,covid [25] covid,positive [25] positive,rss [25] rss,swayamsevak [25] swayamsevak,gave [25] gave,bed [25] bed,life Top Word Pairs in Tweet in G8:
[20] recovered,covid [17] folded,hands [17] hands,request [17] request,recovered [17] covid,please [17] please,help [17] help,others [17] others,recover [17] recover,donate [17] donate,plasma Top Word Pairs in Tweet in G9:
[18] covid,19 [14] high,court [11] madras,high [11] 15,000 [11] 000,rss [11] rss,running [11] running,schools [11] schools,converted [11] converted,covid [11] covid,hospitals Top Word Pairs in Tweet in G10:
[28] pti_news,govt [27] govt,asks [27] asks,serum [27] serum,institute [27] institute,bharat [27] bharat,biotech [27] biotech,lower [27] lower,price [27] price,covid [27] covid,vaccines Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G6:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: