The graph represents a network of 18,964 Twitter users whose recent tweets contained "whatsapp (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 18 March 2020 at 14:33 UTC.
The tweets in the network were tweeted over the 16-hour, 13-minute period from Tuesday, 17 March 2020 at 21:45 UTC to Wednesday, 18 March 2020 at 13:58 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 : 18964
Unique Edges : 20425
Edges With Duplicates : 754
Total Edges : 21179
Number of Edge Types : 5
Retweet : 13108
MentionsInRetweet : 3615
Mentions : 1099
Replies to : 389
Tweet : 2968
Self-Loops : 3013
Reciprocated Vertex Pair Ratio : 0.00122774708410068
Reciprocated Edge Ratio : 0.00245248313917842
Connected Components : 3086
Single-Vertex Connected Components : 1747
Maximum Vertices in a Connected Component : 5376
Maximum Edges in a Connected Component : 6342
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.352842
Graph Density : 4.98895577943762E-05
Modularity : 0.886357
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 18,964 Twitter users whose recent tweets contained "whatsapp (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 18 March 2020 at 14:33 UTC.
The tweets in the network were tweeted over the 16-hour, 13-minute period from Tuesday, 17 March 2020 at 21:45 UTC to Wednesday, 18 March 2020 at 13:58 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 : TwitterSearch
Graph Term : whatsapp (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2)
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1704] covid,19 [1530] whatsapp,group [1436] fight,coronavirus [1399] coronavirus,covid19 [1395] rounds,whatsapp [1389] people,immune [1389] global,pandemic [1388] whatsapp,true [1386] black,people [1386] making,rounds Top Word Pairs in Tweet in G1:
[247] covid,19 [83] corona,virus [74] fake,news [66] whatsapp,group [65] grupo,whatsapp [53] corona,buka [51] grupos,whatsapp [51] corona,vírus [50] coronavirus,whatsapp [45] whatsapp,corona Top Word Pairs in Tweet in G2:
[1367] ignore,rubbish [1367] rubbish,statements [1367] statements,black [1367] black,people [1367] people,immune [1367] immune,coronavirus [1367] coronavirus,covid19 [1367] covid19,apparently [1367] apparently,making [1367] making,rounds Top Word Pairs in Tweet in G3:
[1060] mate,sent [1060] sent,whatsapp [1060] whatsapp,good [1060] good,news [1060] news,china [1060] china,closed [1060] closed,down [1060] down,last [1060] last,coronavirus [1060] cases,support Top Word Pairs in Tweet in G4:
[1058] satu,penjelasan [1058] penjelasan,yang [1058] yang,baik [1058] baik,mengenai [1058] mengenai,konsep [1058] konsep,flatten [1058] flatten,curve [1058] curve,wabak [1058] wabak,#covid19 [1058] #covid19,boleh Top Word Pairs in Tweet in G5:
[648] bolsonaro,só [648] só,não [648] não,mais [648] mais,estulto [648] estulto,só [648] só,alinhou [648] alinhou,contra [648] contra,governadores [648] governadores,congresso [648] congresso,stf Top Word Pairs in Tweet in G6:
[698] sumber,group [698] group,whatsapp [669] pesakit,#covid19 [669] #covid19,ke [669] ke,dikhabarkan [669] dikhabarkan,untuk [669] untuk,dipindahkan [669] dipindahkan,dari [669] dari,hospital [669] hospital,kajang Top Word Pairs in Tweet in G7:
[672] retirons,whatsapp [672] whatsapp,parents [672] parents,durant [672] durant,cette [672] cette,pandémie [672] pandémie,coronavirus [672] coronavirus,peux [672] peux,plus [3] ma,daronne [3] daronne,reçoit Top Word Pairs in Tweet in G8:
[536] reciben,whatsapp [536] whatsapp,indicaciones [536] indicaciones,contraindicaciones [536] contraindicaciones,firmado [536] firmado,pedro [536] pedro,cahn [536] cahn,bórrenlo [536] bórrenlo,reenvíen [536] reenvíen,falso [536] falso,ve Top Word Pairs in Tweet in G9:
[93] social,media [82] media,whatsapp [68] #coronavirus,treated [68] treated,gargling [68] gargling,warm [68] warm,water [68] water,mixed [68] mixed,salt [68] salt,vinegar [68] vinegar,#fakenews Top Word Pairs in Tweet in G10:
[800] work,work [400] government,shutting [400] shutting,down [400] down,places [400] places,safety [400] safety,citizens [400] citizens,over [400] over,#coronavirus [400] #coronavirus,outbreak [400] outbreak,work 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 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 G5:
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: