The graph represents a network of 8,336 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 Tuesday, 07 April 2020 at 07:02 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 10:18 UTC to Monday, 06 April 2020 at 10:20 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 : 8336
Unique Edges : 8323
Edges With Duplicates : 738
Total Edges : 9061
Number of Edge Types : 4
MentionsInRetweet : 4586
Tweet : 2649
Mentions : 1547
Replies to : 279
Self-Loops : 2649
Reciprocated Vertex Pair Ratio : 0.00625601539942252
Reciprocated Edge Ratio : 0.0124342419894787
Connected Components : 2761
Single-Vertex Connected Components : 632
Maximum Vertices in a Connected Component : 443
Maximum Edges in a Connected Component : 635
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.531742
Graph Density : 9.02842464136731E-05
Modularity : 0.812454
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 8,336 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 Tuesday, 07 April 2020 at 07:02 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 10:18 UTC to Monday, 06 April 2020 at 10:20 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:
[4254] covid,19 [119] against,covid [113] virus,covid [93] 19,pandemic [93] jika,anda [93] anda,dapat [93] dapat,lihat [93] lihat,virus [93] 19,menular [93] menular,dan Top Word Pairs in Tweet in G1:
[406] covid,19 [14] #covid,19 [13] 19,pandemic [9] against,covid [7] during,covid [7] namo,app [6] virus,corona [6] 19,cases [6] crisis,covid [6] positive,covid Top Word Pairs in Tweet in G2:
[58] covid,19 [25] र,न [24] प,र [21] क,स [19] न,व [19] ज,क [18] क,ब [18] क,म [17] क,र [17] न,क Top Word Pairs in Tweet in G3:
[166] covid,19 [93] jika,anda [93] anda,dapat [93] dapat,lihat [93] lihat,virus [93] virus,covid [93] 19,menular [93] menular,dan [93] dan,terzahir [93] terzahir,seperti Top Word Pairs in Tweet in G4:
[40] covid,19 [6] #covid,19 [6] cbn,provide [6] provide,spending [6] spending,details [6] details,covid [6] 19,relief [6] relief,funds [5] human,rights [4] people,disabilities Top Word Pairs in Tweet in G5:
[45] covid,19 [8] 19,não [7] hoje,dia [7] 571,mortos [7] 19,youtube [7] essa,organização [7] organização,jairbolsonaro [7] jairbolsonaro,realdonaldtrump [7] realdonaldtrump,devem [7] devem,submeter Top Word Pairs in Tweet in G6:
[62] covid,19 [15] fight,covid [13] amid,covid [13] 19,battle [12] cnnphilippines,breaking [11] frontliners,mission [11] mission,fight [11] battle,iloilo [11] iloilo,based [11] based,designer Top Word Pairs in Tweet in G7:
[45] covid,19 [17] sebuah,kota [17] kota,cina [17] cina,kembali [17] kembali,dikarantina [17] dikarantina,setelah [17] setelah,terdeteksi [17] terdeteksi,adanya [17] adanya,kasus [17] kasus,kasus Top Word Pairs in Tweet in G8:
[19] covid,19 [6] presidente,nicolasmaduro [4] contra,#covid_19 [4] diagnóstico,covid [4] hemos,recibido [4] recibido,confirmación [4] confirmación,segundo [4] segundo,caso [4] caso,#covid_19 [4] #covid_19,#coronavirus Top Word Pairs in Tweet in G9:
[19] covid,19 [5] lagos,state [4] confirm,two [4] two,nurses [4] nurses,working [4] working,infectious [4] infectious,disease [4] disease,hospital [4] hospital,idh [4] idh,yaba Top Word Pairs in Tweet in G10:
[14] covid,19 [9] touching,words [9] words,iamsrk [9] iamsrk,#srkprideofindia [9] #srkprideofindia,#shahrukhkhan [9] #shahrukhkhan,#srk [9] #srk,#kingofbollywood [9] #kingofbollywood,#bollywood [9] #bollywood,#covid2019 [8] teamsrkpune,touching 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 G8:
Top Replied-To in G9:
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: