The graph represents a network of 8,155 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, 02 June 2020 at 08:41 UTC.
The requested start date was Tuesday, 02 June 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, 31 May 2020 at 12:16 UTC to Monday, 01 June 2020 at 12:18 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 : 8155
Unique Edges : 4564
Edges With Duplicates : 7933
Total Edges : 12497
Number of Edge Types : 5
Retweet : 3785
MentionsInRetweet : 4460
Tweet : 2162
Replies to : 503
Mentions : 1587
Self-Loops : 2183
Reciprocated Vertex Pair Ratio : 0.0040867651681861
Reciprocated Edge Ratio : 0.00814026299311208
Connected Components : 2550
Single-Vertex Connected Components : 617
Maximum Vertices in a Connected Component : 295
Maximum Edges in a Connected Component : 615
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.626629
Graph Density : 9.60661165873911E-05
Modularity : 0.587099
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,155 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, 02 June 2020 at 08:41 UTC.
The requested start date was Tuesday, 02 June 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, 31 May 2020 at 12:16 UTC to Monday, 01 June 2020 at 12:18 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 G2:
[321] covid,19 [10] connected,indian [10] indian,ocean [9] ocean,united [8] united,indian [7] indian,samosa [6] samosa,looks [6] looks,delicious [6] delicious,pm [6] pm,scottmorrisonmp Top Word Pairs in Tweet in G3:
[38] covid,19 [14] higher,rates [14] people,health [14] health,outcomes [14] outcomes,worse [14] worse,communities [14] leadership,vacuum [14] vacuum,response [14] response,chaos [14] chaos,covid Top Word Pairs in Tweet in G4:
[25] kes,kematian [7] dalam,tempoh [7] tempoh,hari [7] hari,berturut [7] berturut,turut [6] tiada,kes [5] kematian,kes [5] kes,covid [5] covid,dalam [5] turut,ada Top Word Pairs in Tweet in G5:
[176] covid,hospital [176] covid,hospitals [89] standalone,covid [89] kalinga,institute [89] institute,medical [88] medical,science [88] science,kims [88] kiituniversity,kissfoundation [88] 500,beds [88] under,leadership Top Word Pairs in Tweet in G6:
[31] couldn,impose [15] impose,curfew [15] curfew,strict [15] strict,stay [14] stay,home [14] home,order [14] order,corona [14] corona,speedy [13] speedy,eight [11] eight,pm Top Word Pairs in Tweet in G7:
[79] covid,19 [79] anyone,thinks [79] thinks,coincidence [79] coincidence,moment [79] moment,covid [79] 19,began [79] began,fade [79] fade,threat [79] threat,america [79] america,began Top Word Pairs in Tweet in G8:
[56] come,cop [47] cop,outfitted [47] outfitted,avenger [47] avenger,health [47] health,care [47] care,professionals [47] professionals,fighting [47] fighting,covid [47] covid,wearing [47] wearing,barrels Top Word Pairs in Tweet in G9:
[71] re,going [71] much,certain [71] certain,rioting [71] rioting,two [71] two,weeks [71] weeks,re [71] going,shitload [71] shitload,sick [71] sick,democrats [71] realjameswoods,much Top Word Pairs in Tweet in G10:
[51] covid,came [50] came,warning [50] warning,didn [50] didn,enough [50] enough,masks [50] masks,ppe [50] ppe,tests [50] tests,peaceful [50] peaceful,protests [49] protests,came 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 G5:
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: