The graph represents a network of 8,551 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 Tuesday, 07 April 2020 at 07:20 UTC.
The requested start date was Tuesday, 07 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Sunday, 05 April 2020 at 10:20 UTC to Monday, 06 April 2020 at 10:22 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 : 8551
Unique Edges : 8497
Edges With Duplicates : 681
Total Edges : 9178
Number of Edge Types : 4
MentionsInRetweet : 4538
Tweet : 2646
Replies to : 337
Mentions : 1657
Self-Loops : 2646
Reciprocated Vertex Pair Ratio : 0.00548245614035088
Reciprocated Edge Ratio : 0.0109051254089422
Connected Components : 2820
Single-Vertex Connected Components : 623
Maximum Vertices in a Connected Component : 284
Maximum Edges in a Connected Component : 403
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.881177
Graph Density : 8.77979457277662E-05
Modularity : 0.81971
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 8,551 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 Tuesday, 07 April 2020 at 07:20 UTC.
The requested start date was Tuesday, 07 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Sunday, 05 April 2020 at 10:20 UTC to Monday, 06 April 2020 at 10:22 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:
[3653] covid,19 [92] against,covid [86] #covid,19 [80] virus,covid [73] क,र [72] fight,against [72] 19,pandemic [67] keluar,rumah [66] seperti,ini [65] jika,anda Top Word Pairs in Tweet in G1:
[340] covid,19 [13] against,covid [12] #covid,19 [9] 19,crisis [8] during,covid [8] fight,against [7] stay,home [7] 19,cases [6] #covid19,#covid_19 [5] 19,pandemic Top Word Pairs in Tweet in G2:
[72] covid,19 [8] president,realdonaldtrump [8] wear,mask [7] town,hall [7] president,trump [6] america,owes [6] owes,very [6] very,hard [6] hard,working [6] working,food Top Word Pairs in Tweet in G3:
[60] covid,19 [21] स,थ [20] व,र [19] क,र [14] र,स [13] fight,against [13] द,श [13] क,व [13] श,क [13] क,स Top Word Pairs in Tweet in G4:
[90] covid,19 [65] jika,anda [65] anda,dapat [65] dapat,lihat [65] lihat,virus [65] virus,covid [65] 19,menular [65] menular,dan [65] dan,terzahir [65] terzahir,seperti Top Word Pairs in Tweet in G5:
[9] covid,19 [8] #covid,19 [3] update,#covid [3] 19,#zambia [3] #zambia,today [3] today,cases [3] cases,two [3] two,more [3] more,patients [3] patients,recover Top Word Pairs in Tweet in G6:
[8] covid,19 [6] cousin's,brother [6] brother,law [6] law,highly [6] highly,acclaimed [6] acclaimed,cardiologist [6] cardiologist,ventilator [6] ventilator,due [6] due,covid [5] pbhushan1,cousin's Top Word Pairs in Tweet in G7:
[31] covid,19 [15] 13yr,old [15] old,ismail [15] ismail,mohamed [15] mohamed,abdulwahab [15] abdulwahab,buried [15] buried,week [15] week,died [15] died,alone [15] alone,hospital Top Word Pairs in Tweet in G8:
[21] covid,19 [6] presidente,nicolasmaduro [4] 19,#bienvenidosalapatria [4] detección,covid [3] #4deabril,prevenido [3] prevenido,corta [3] corta,cadena [3] cadena,transmisión [3] transmisión,covid [3] 19,ayúdanos Top Word Pairs in Tweet in G9:
[16] प,र [13] #covid,19 [13] मर,ज [13] न,क [12] horrible,guy [12] guy,brutally [12] brutally,beaten [12] beaten,group [12] group,people [12] people,accusation Top Word Pairs in Tweet in G10:
[31] covid,19 [6] headlines,standardkenya [6] standardkenya,dailynation [6] dailynation,thestarkenya [6] thestarkenya,kenyans [6] kenyans,lockdown [6] lockdown,contain [6] contain,covid [6] 19,false [5] health,workers 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 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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: