The graph represents a network of 8,350 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 Friday, 29 May 2020 at 07:02 UTC.
The requested start date was Friday, 29 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 1-day, 0-hour, 1-minute period from Wednesday, 27 May 2020 at 12:18 UTC to Thursday, 28 May 2020 at 12:20 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 : 8350
Unique Edges : 4878
Edges With Duplicates : 7815
Total Edges : 12693
Number of Edge Types : 5
Retweet : 3664
MentionsInRetweet : 4358
Tweet : 2552
Mentions : 1824
Replies to : 295
Self-Loops : 2576
Reciprocated Vertex Pair Ratio : 0.00844756136436085
Reciprocated Edge Ratio : 0.0167535957009641
Connected Components : 2831
Single-Vertex Connected Components : 810
Maximum Vertices in a Connected Component : 240
Maximum Edges in a Connected Component : 439
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.091084
Graph Density : 9.07563242182541E-05
Modularity : 0.582618
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,350 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 Friday, 29 May 2020 at 07:02 UTC.
The requested start date was Friday, 29 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 1-day, 0-hour, 1-minute period from Wednesday, 27 May 2020 at 12:18 UTC to Thursday, 28 May 2020 at 12:20 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 G2:
[625] covid,19 [23] texas,supreme [21] supreme,court [20] lack,immunity [17] immunity,covid [12] realdonaldtrump,texas [11] court,lack [11] 19,alone [8] alone,enough [8] enough,vote Top Word Pairs in Tweet in G3:
[121] covid,19 [33] ज,क [33] 19,क [33] इल,ज [33] न,ज [32] ज,अस [32] अस,पत [32] पत,ल [32] त,स [32] र,म Top Word Pairs in Tweet in G4:
[30] covid,19 [10] 24,horas [8] madre,lopezobrador_ [8] lopezobrador_,resulta [8] resulta,últimas [8] últimas,24 [8] horas,501 [8] 501,muertos [8] muertos,confirmados [8] confirmados,covid Top Word Pairs in Tweet in G5:
[42] covid,19 [16] contra,covid [11] lucha,contra [11] jornada,trabajo [11] comisión,presidencial [11] presidencial,lucha [11] operativo,especial [11] especial,nocturno [11] maracay,edo [11] #respetalacuarentena,debemos Top Word Pairs in Tweet in G6:
[53] covid,19 [16] nursing,homes [11] recovering,patients [7] nursing,home [7] dear,nygovcuomo [7] nygovcuomo,re [6] re,trying [6] trying,blame [6] blame,nursing [6] homes,obeying Top Word Pairs in Tweet in G7:
[45] brasil,novo [29] novo,epicentro [17] epicentro,covid [11] covid,19 [11] 19,reabrindo [11] reabrindo,comércio [11] thaysvita,brasil Top Word Pairs in Tweet in G8:
[61] covid,19 [61] today,tested [61] tested,3077 [61] 3077,samples [61] samples,123 [61] 123,people [60] people,tested [] tested,positive [] positive,covid [] 19,nairobi Top Word Pairs in Tweet in G9:
[25] covid,19 [12] 19,made [12] made,forget [12] forget,virus [12] virus,america [12] djwalt_,covid [12] djwalt_,die [12] die,covid [12] 19,die [12] die,racism Top Word Pairs in Tweet in G10:
[49] covid,19 [47] thank,icmr [47] appreciated,role [47] role,#pharmacist [47] #pharmacist,covid [46] 19,#frontlineworkers [2] #frontlineworkers,took [2] icmr,appreciated [2] took,care [2] initiating,testing Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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