The graph represents a network of 11,281 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, 17 September 2020 at 09:47 UTC.
The requested start date was Thursday, 17 September 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 3-day, 20-hour, 15-minute period from Saturday, 12 September 2020 at 07:04 UTC to Wednesday, 16 September 2020 at 03:19 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 : 11281
Unique Edges : 5988
Edges With Duplicates : 12495
Total Edges : 18483
Number of Edge Types : 5
Retweet : 5861
MentionsInRetweet : 6827
Tweet : 2879
Replies to : 839
Mentions : 2077
Self-Loops : 2912
Reciprocated Vertex Pair Ratio : 0.00305520438263801
Reciprocated Edge Ratio : 0.00609179708013864
Connected Components : 3015
Single-Vertex Connected Components : 740
Maximum Vertices in a Connected Component : 2337
Maximum Edges in a Connected Component : 4931
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.820165
Graph Density : 7.48214062306483E-05
Modularity : 0.573579
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,281 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, 17 September 2020 at 09:47 UTC.
The requested start date was Thursday, 17 September 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 3-day, 20-hour, 15-minute period from Saturday, 12 September 2020 at 07:04 UTC to Wednesday, 16 September 2020 at 03:19 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:
[2918] covid,19 [229] herd,immunity [192] go,away [191] million,people [170] approximately,328 [170] 328,million [170] people,low [170] low,end [170] end,herd [170] immunity,60 Top Word Pairs in Tweet in G1:
[304] covid,19 [14] during,covid [12] क,र [12] न,क [10] 19,pandemic [10] र,न [10] #covid,19 [10] 19,cases [9] penyebaran,covid [8] positive,covid Top Word Pairs in Tweet in G2:
[99] covid,19 [36] covid,response [31] dr,li [31] li,meng [31] meng,yan [31] realdonaldtrump,shot [31] shot,someone [31] someone,middle [31] middle,5th [31] 5th,avenue Top Word Pairs in Tweet in G3:
[39] indoor,rally [37] died,cancer [32] herd,mentality [31] kylegriffin1,trump [25] crying,voter [25] voter,tells [25] tells,trump [25] trump,length [25] length,mom [25] mom,fellow Top Word Pairs in Tweet in G4:
[114] astounding,massive [114] massive,family [114] family,separation [114] separation,operation [114] operation,mass [114] mass,sexual [114] sexual,assault [114] assault,detainees [114] detainees,trapping [114] trapping,immigrants Top Word Pairs in Tweet in G5:
[65] yes,earth [65] earth,continue [65] continue,orbit [65] orbit,sun [65] sun,yes [65] yes,become [65] become,fall [65] fall,northern [65] northern,hemisphere [65] hemisphere,ll Top Word Pairs in Tweet in G6:
[162] herd,immunity [161] approximately,328 [161] 328,million [161] million,people [161] people,low [161] low,end [161] end,herd [161] immunity,60 [160] kyle_feldscher,approximately [160] 60,popul Top Word Pairs in Tweet in G7:
[65] federal,judge [65] judge,ruled [65] ruled,unconstitutional [65] unconstitutional,shut [65] shut,down [65] down,businesses [65] businesses,limit [65] limit,indoor [65] indoor,outdoor [65] outdoor,gatherings Top Word Pairs in Tweet in G8:
[89] covid,19 [26] contra,covid [26] cuarentena,radical [22] semana,cuarentena [18] #cuarentenaradicaldisciplinada,semana [16] casos,comunitarios [16] radical,disciplinada [15] vtvcanal8,#envideo [14] 899,casos [14] 130,casos Top Word Pairs in Tweet in G9:
[61] covid,19 [13] industry,changing [13] changing,rearranging [13] rearranging,restructuring [13] restructuring,many [13] many,businesses [13] businesses,closed [13] closed,protect [13] protect,workers [13] eli,lipman Top Word Pairs in Tweet in G10:
[39] covid,19 [14] 70,mil [14] mil,muertos [8] 11,septiembre [8] muertos,covid [6] recordar,salud [6] salud,70 [6] covid,economía [6] economía,18 [6] 18,decrecimiento Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: