The graph represents a network of 8,728 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 Thursday, 14 May 2020 at 08:56 UTC.
The requested start date was Thursday, 14 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, 0-minute period from Tuesday, 12 May 2020 at 12:22 UTC to Wednesday, 13 May 2020 at 12:23 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 : 8728
Unique Edges : 5192
Edges With Duplicates : 7937
Total Edges : 13129
Number of Edge Types : 5
Retweet : 3712
MentionsInRetweet : 4554
Replies to : 467
Tweet : 2536
Mentions : 1860
Self-Loops : 2565
Reciprocated Vertex Pair Ratio : 0.00597014925373134
Reciprocated Edge Ratio : 0.0118694362017804
Connected Components : 2904
Single-Vertex Connected Components : 685
Maximum Vertices in a Connected Component : 514
Maximum Edges in a Connected Component : 1028
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.327829
Graph Density : 8.84871449971889E-05
Modularity : 0.595621
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 8,728 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 Thursday, 14 May 2020 at 08:56 UTC.
The requested start date was Thursday, 14 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, 0-minute period from Tuesday, 12 May 2020 at 12:22 UTC to Wednesday, 13 May 2020 at 12:23 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 Entire Graph:
[3280] covid,19 [95] 19,pandemic [77] during,covid [74] 19,cases [74] #covid,19 [71] 19,crisis [71] care,homes [69] covid,deaths [69] cdc,later [69] later,confirmed Top Word Pairs in Tweet in G1:
[444] covid,19 [14] 19,pandemic [13] 19,cases [11] during,covid [9] 19,crisis [9] #covid,19 [9] total,personas [7] casos,covid [6] spread,covid [6] stay,home Top Word Pairs in Tweet in G2:
[76] covid,19 [68] cdc,later [68] later,confirmed [68] confirmed,including [68] including,probable [68] probable,cases [68] cases,virus [68] virus,official [68] official,counts [68] counts,potentially Top Word Pairs in Tweet in G3:
[27] covid,19 [21] express,gratitude [19] international,day [19] day,nurse [19] nurse,special [19] special,day [19] day,express [19] gratitude,phenomenal [19] phenomenal,nurses [19] nurses,working Top Word Pairs in Tweet in G4:
[20] covid,19 [6] spread,covid [5] public,health [4] considering,level [4] level,compliance [4] compliance,government's [4] government's,directives [4] directives,limiting [4] limiting,spread [4] 19,lagos Top Word Pairs in Tweet in G5:
[15] covid,19 [10] care,homes [7] borisjohnson,matthancock [7] elderly,covid [7] back,care [7] patients,tested [6] very,unlikely [6] care,home [6] absolutely,horrific [6] very,successful Top Word Pairs in Tweet in G6:
[29] breaking,lawyer [29] lawyer,kevin [29] kevin,downing [29] downing,confirms [29] confirms,cbsnews [29] cbsnews,client [29] client,paul [29] paul,manafort [29] manafort,released [29] released,morning Top Word Pairs in Tweet in G7:
[63] still,over [63] over,americans [63] americans,tired [63] tired,covid [63] covid,decided [63] decided,over [62] muktab_,still [2] please,stay [2] stay,tune [2] tune,june Top Word Pairs in Tweet in G8:
[29] covid,19 [8] pdte,nicolasmaduro [6] últimas,24 [6] 24,horas [6] #furiabolivarianaimbatible,#mazo300conchávezporsiempre [5] urgente,porqué [5] porqué,debemos [5] debemos,apoyar [5] apoyar,extensión [5] extensión,cuarentena Top Word Pairs in Tweet in G9:
[25] क,त [21] त,र [18] च,क [16] त,स [14] स,ग [14] र,श [14] नर,स [14] श,र [14] स,म [12] र,ashokgehlot51 Top Word Pairs in Tweet in G10:
[51] sim,eu [51] eu,penso [51] penso,em [51] em,vc [51] vc,vacina [51] vacina,pro [51] pro,covid [50] porrafaelreis,sim Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: