The graph represents a network of 12,178 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, 06 August 2020 at 09:42 UTC.
The requested start date was Thursday, 06 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 0-minute period from Monday, 03 August 2020 at 12:22 UTC to Wednesday, 05 August 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 : 12178
Unique Edges : 7019
Edges With Duplicates : 11728
Total Edges : 18747
Number of Edge Types : 5
Retweet : 5481
MentionsInRetweet : 6431
Tweet : 3476
Mentions : 2472
Replies to : 887
Self-Loops : 3515
Reciprocated Vertex Pair Ratio : 0.00503672612801679
Reciprocated Edge Ratio : 0.0100229693046565
Connected Components : 3773
Single-Vertex Connected Components : 990
Maximum Vertices in a Connected Component : 1254
Maximum Edges in a Connected Component : 2469
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.006028
Graph Density : 6.45889994535493E-05
Modularity : 0.587663
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 12,178 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, 06 August 2020 at 09:42 UTC.
The requested start date was Thursday, 06 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 0-minute period from Monday, 03 August 2020 at 12:22 UTC to Wednesday, 05 August 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:
[4002] covid,19 [171] 19,economic [170] contra,covid [168] country,depends [168] depends,imports [168] imports,survive [168] survive,officially [168] officially,lost [168] lost,main [168] main,sea Top Word Pairs in Tweet in G1:
[496] covid,19 [23] during,covid [20] 19,cases [18] 19,pandemic [17] casos,covid [15] positive,covid [14] due,covid [10] contra,covid [9] 08,2020 [9] over,covid Top Word Pairs in Tweet in G2:
[59] covid,19 [48] illegal,late [48] late,night [48] night,coup [48] coup,nevada [48] nevada,clubhouse [48] clubhouse,governor [48] governor,made [48] made,impossible [48] impossible,republicans Top Word Pairs in Tweet in G3:
[157] covid,19 [41] contra,covid [16] #covid,19 [12] últimas,24 [12] batalla,contra [12] 19,#diosdadopalantevenceremos [12] pdte,nicolasmaduro [11] 24,horas [11] pandemia,covid [11] nuevos,casos Top Word Pairs in Tweet in G4:
[170] covid,19 [168] country,depends [168] depends,imports [168] imports,survive [168] survive,officially [168] officially,lost [168] lost,main [168] main,sea [168] sea,port [168] port,mid Top Word Pairs in Tweet in G5:
[74] covid,19 [28] donald,trump [27] day,one [27] downplayed,threat [27] threat,covid [27] 19,posed [27] posed,ignored [27] refused,take [27] take,action [25] one,donald Top Word Pairs in Tweet in G6:
[40] covid,19 [9] against,covid [9] discovered,government [9] government,media [9] media,officials [9] officials,knew [9] knew,hyrdroxychloroquine [9] hyrdroxychloroquine,effective [9] effective,treating [9] treating,covid Top Word Pairs in Tweet in G7:
[31] covid,19 [8] jee,neet [6] covid,cases [6] hrdministry,drrpnishank [6] 19,cases [6] tamil,nadu [5] postpone,jee [5] न,क [5] foreign,medical [5] medical,graduates Top Word Pairs in Tweet in G8:
[20] covid,19 [8] personal,salud [7] 20,fallecidos [7] fallecidos,covid [7] 19,venezuela [7] venezuela,personal [7] salud,cifra [7] cifra,altísima [7] altísima,cifra [7] cifra,habla Top Word Pairs in Tweet in G9:
[29] covid,19 [9] covid,update [9] update,august [8] 000,lives [7] aslavitt,covid [7] gov,greg [7] greg,abbott [6] august,re [6] re,being [6] being,asked Top Word Pairs in Tweet in G10:
[72] look,someone [72] someone,story [72] story,covid [72] covid,already [71] damsuran,look Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 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:
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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: