The graph represents a network of 5,043 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 May 2020 at 08:41 UTC.
The requested start date was Monday, 18 May 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 2-day, 9-hour, 1-minute period from Friday, 15 May 2020 at 03:25 UTC to Sunday, 17 May 2020 at 12:27 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 : 5043
Unique Edges : 1454
Edges With Duplicates : 8866
Total Edges : 10320
Number of Edge Types : 5
Retweet : 4231
MentionsInRetweet : 4672
Replies to : 256
Tweet : 674
Mentions : 487
Self-Loops : 693
Reciprocated Vertex Pair Ratio : 0.00380837843255161
Reciprocated Edge Ratio : 0.00758785942492013
Connected Components : 616
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 3073
Maximum Edges in a Connected Component : 7033
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.105255
Graph Density : 0.000196957494386043
Modularity : 0.467336
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,043 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 May 2020 at 08:41 UTC.
The requested start date was Monday, 18 May 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 2-day, 9-hour, 1-minute period from Friday, 15 May 2020 at 03:25 UTC to Sunday, 17 May 2020 at 12:27 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 : NCoV
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:
[1637] 10,febrero [1526] informe,técnico [1514] técnico,10 [1510] fernando,simón [1509] firmado,fernando [1502] febrero,elaborado [1502] elaborado,firmado [1502] simón,estaba [1502] estaba,colgado [1502] colgado,web Top Word Pairs in Tweet in G1:
[1437] 10,febrero [1429] informe,técnico [1429] técnico,10 [1429] firmado,fernando [1427] febrero,elaborado [1427] elaborado,firmado [1427] fernando,simón [1427] simón,estaba [1427] estaba,colgado [1427] colgado,web Top Word Pairs in Tweet in G2:
[377] face,covering [373] cloth,face [351] wear,cloth [351] help,keep [350] covering,help [348] cdcgov,wear [347] help,protect [347] protect,those [347] those,around [347] around,#covid19 Top Word Pairs in Tweet in G3:
[256] datos,#covid19 [255] mayo,confirmados [255] confirmados,pcr [254] actualizados,hoy [252] #covid19,españa [249] españa,primer [249] primer,caso [249] caso,inicial [249] inicial,actualizados [246] saludpublicaes,datos Top Word Pairs in Tweet in G4:
[47] covid,19 [34] 2019,ncov [16] ncov,19 [11] sars,cov [10] chadox1,ncov [9] 10,febrero [8] 05,2020 [7] sa,ncov [7] coronavirus,covid [7] ng,ncov Top Word Pairs in Tweet in G5:
[217] #新型コロナウイルス,感染症情報 [217] 本日も,県内での新たな新型コロナウイルス感染症患者は確認されませんでした [217] 県内での新たな新型コロナウイルス感染症患者は確認されませんでした,また [217] また,pcr検査の結果 [215] 詳しくは,県ホームページでご確認ください [215] 県ホームページでご確認ください,#家で過ごそう [213] ibaraki_kouhou,#新型コロナウイルス [211] #家で過ごそう,# [110] 感染症情報,5月17日 [110] 5月17日,本日も Top Word Pairs in Tweet in G6:
[138] mire,simón [138] simón,prueba [138] prueba,médico [138] médico,científico [138] científico,servil [138] servil,lacayo [138] lacayo,ayudar [138] ayudar,amo [138] amo,engañó [137] hermanntertsch,mire Top Word Pairs in Tweet in G7:
[87] 10,febrero [64] pueden,descargar [64] descargar,informes [64] informes,10 [64] febrero,marzo [64] marzo,posteriores [50] descargar,último [50] último,enlace [50] ldpsincomplejos,pueden [49] martarodrigo,ldpsincomplejos Top Word Pairs in Tweet in G8:
[33] 31st,january [31] didn,bad [30] bad,advised [29] advised,world [29] world,governments [29] governments,act [29] act,31st [26] january,2020 [24] #covid19,increased [20] brief,#gender Top Word Pairs in Tweet in G9:
[62] lleida,catalunya [62] catalunya,central [59] demà,regions [59] regions,sanitàries [59] sanitàries,girona [59] girona,lleida [59] central,comarques [59] comarques,l'alt [59] l'alt,penedès [59] penedès,garraf Top Word Pairs in Tweet in G10:
[59] know,#covid19 [59] #covid19,one [59] one,place [59] place,updated [59] updated,information [59] information,gathered [59] gathered,learn [59] learn,more [58] ecdc_eu,know [58] more,# Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: