The graph represents a network of 13,294 Twitter users whose recent tweets contained "Covid ZA", 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 Friday, 17 April 2020 at 14:16 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 48-minute period from Wednesday, 15 April 2020 at 06:58 UTC to Friday, 17 April 2020 at 11:47 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 : 13294
Unique Edges : 18190
Edges With Duplicates : 6826
Total Edges : 25016
Number of Edge Types : 5
Retweet : 8121
MentionsInRetweet : 5711
Tweet : 5152
Replies to : 1454
Mentions : 4578
Self-Loops : 5189
Reciprocated Vertex Pair Ratio : 0.00778771271993078
Reciprocated Edge Ratio : 0.0154550658271322
Connected Components : 2312
Single-Vertex Connected Components : 1427
Maximum Vertices in a Connected Component : 8110
Maximum Edges in a Connected Component : 18583
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.315658
Graph Density : 9.88585476331436E-05
Modularity : 0.62968
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 13,294 Twitter users whose recent tweets contained "Covid ZA", 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 Friday, 17 April 2020 at 14:16 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 48-minute period from Wednesday, 15 April 2020 at 06:58 UTC to Friday, 17 April 2020 at 11:47 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 : Covid ZA
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:
[11682] covid,19 [1044] south,africa [679] positive,covid [554] tested,positive [536] 19,lockdown [524] during,covid [429] 19,pandemic [340] за,сутки [317] world,reliable [316] ranks,2nd Top Word Pairs in Tweet in G1:
[2141] covid,19 [147] south,africa [133] 19,ters [132] ters,benefit [129] applications,covid [129] processed,136 [129] disaster,making [125] positive,covid [118] 23,245 [116] date,uif Top Word Pairs in Tweet in G2:
[1385] covid,19 [106] из,за [99] south,africa [95] за,сутки [75] #coronavirusinsa,#covid19sa [74] за,covid [74] #coronavirussa,#coronavirus [74] #coronavirus,#coronavirusinsa [74] #covid19sa,#southafricalockdown [74] #southafricalockdown,#lockdowninsa Top Word Pairs in Tweet in G3:
[704] covid,19 [114] fake,news [98] south,africa [76] during,covid [72] #covid19,#coronavirusinsa [58] 19,lockdown [51] gov,za [48] news,covid [47] anyone,creates [47] creates,spreads Top Word Pairs in Tweet in G4:
[898] covid,19 [167] positive,covid [166] tested,positive [107] tiger,brands [106] durban,bakery [102] temporarily,closed [98] brands,temporarily [98] closed,durban [98] bakery,staff [92] members,tested Top Word Pairs in Tweet in G5:
[531] covid,19 [50] positive,covid [50] longer,global [50] global,power [50] power,trump's [50] trump's,botched [50] botched,covid [50] 19,response [50] response,bisouthafrica [48] italy,use Top Word Pairs in Tweet in G6:
[305] covid,19 [64] kwa,siku [45] kupambana,covid [43] za,kupambana [41] nyingine,za [40] siku,za [40] kwa,wananchi [40] virusi,vya [39] pamoja,juhudi [38] #covid,19 Top Word Pairs in Tweet in G7:
[352] covid,19 [61] learn,more [60] south,africa [53] human,rights [52] response,focus [52] focus,people [52] people,needs [52] needs,rights [48] 19,response [39] family,access Top Word Pairs in Tweet in G8:
[176] covid,19 [37] positive,covid [23] #covid19insa,#covidー19 [21] #coronavirusinsa,#covid19insa [20] tiger,brands [19] tested,positive [19] test,positive [18] #day21oflockdown,#coronavirusinsa [17] south,africa's [17] durban,bakery Top Word Pairs in Tweet in G9:
[466] covid,19 [151] positive,covid [149] tested,positive [130] port,st [116] eastern,cape [92] st,johns [89] six,members [79] members,same [79] family,tested [63] johns,confirmed Top Word Pairs in Tweet in G10:
[276] covid,19 [99] covid_19_za,drzwelimkhize [71] surennaidoo,moneyweb [56] contract,covid [54] mediclinic,morningside [52] closes,admissions [52] admissions,15 [52] 15,staff [52] staff,contract [50] 19,surennaidoo Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: