The graph represents a network of 10,900 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 Saturday, 03 December 2022 at 08:30 UTC.
The requested start date was Saturday, 03 December 2022 at 01:01 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, 3-minute period from Wednesday, 30 November 2022 at 12:16 UTC to Friday, 02 December 2022 at 12:19 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 : 10900
Unique Edges : 5867
Edges With Duplicates : 11907
Total Edges : 17774
Number of Edge Types : 5
Retweet : 5429
MentionsInRetweet : 6292
Tweet : 2671
Replies to : 1271
Mentions : 2111
Self-Loops : 2699
Reciprocated Vertex Pair Ratio : 0.00346695557963164
Reciprocated Edge Ratio : 0.00690995465342259
Connected Components : 2690
Single-Vertex Connected Components : 794
Maximum Vertices in a Connected Component : 3216
Maximum Edges in a Connected Component : 6935
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 11.878331
Graph Density : 7.79635535959447E-05
Modularity : 0.575451
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,900 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 Saturday, 03 December 2022 at 08:30 UTC.
The requested start date was Saturday, 03 December 2022 at 01:01 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, 3-minute period from Wednesday, 30 November 2022 at 12:16 UTC to Friday, 02 December 2022 at 12:19 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:
[1493] covid,19 [326] filme,mídia [326] vejam,esse [326] mudando,narrativa [326] breve,filme [326] foi,mudando [326] esse,breve [326] mídia,foi [325] bom,dia [323] liberdade,vejam Top Word Pairs in Tweet in G1:
[182] covid,19 [22] zero,covid [17] teste,covid [14] due,covid [12] casos,covid [10] pra,covid [10] pandemi,covid [10] #reuni212politikaniesbaswedan,#aniespendukungkhilafah [10] #covid,19 [10] #aniesdidukungkhilafah,#reuni212tidakperlulagi Top Word Pairs in Tweet in G2:
[317] filme,mídia [317] foi,mudando [317] esse,breve [317] breve,filme [317] vejam,esse [317] mídia,foi [317] mudando,narrativa [314] agora,twitter [314] bom,dia [314] dia,agora Top Word Pairs in Tweet in G3:
[40] covid,vaccine [30] drelidavid,covid [29] vaccine,effectiveness [29] effectiveness,countdown [29] countdown,sound [18] condemnded,happening [18] footage,police [18] china,below [18] police,brutality [18] vs,european Top Word Pairs in Tweet in G4:
[36] covid,vax [36] report,cdc [36] vax,associated [36] associated,myocarditis [36] myocarditis,left [36] news,media [36] knew,covid [36] cdc,knew [36] left,vax [36] vax,surveys Top Word Pairs in Tweet in G5:
[126] covid,19 [94] ago,today [94] confirmed,case [94] feeling,ill [94] later,becomes [94] wuhan,china [94] 19,more [94] today,man [94] becomes,first [94] china,starts Top Word Pairs in Tweet in G6:
[15] covid,dangerous [13] sars,cov [13] brain,fog [11] sand,moving [11] beds,16 [11] government,doing [11] times,seen [11] neurocognitive,decline [11] moving,fast [11] fast,enough Top Word Pairs in Tweet in G7:
[151] manuelrico,hoy [129] trasladar,hospital [129] aprobó,protocolo [129] gobierno,ayuso [129] hospital,residentes [129] impedía,trasladar [129] protocolo,impedía [129] ayuso,aprobó [129] días,gobierno [120] residentes,vulnerab Top Word Pairs in Tweet in G8:
[40] covid,lockdowns [39] oh,wait [38] protesting,harsh [38] china,fire [38] harsh,covid [38] unarmed,civilians [38] fire,unarmed [38] melbourne,carry [38] #breaking,police [38] civilians,protesting Top Word Pairs in Tweet in G9:
[31] long,covid [19] covid,19 [11] aged,care [10] health,system [8] covid,data [7] system,response [7] upgraded,stage [7] response,being [7] victorian,health [7] vic,30 Top Word Pairs in Tweet in G10:
[110] 2023,chinese [109] chinese,grand [109] grand,prix [88] covid,19 [84] place,due [84] due,ongoing [84] take,place [84] situation,#f1 [84] presented,covid [84] ongoing,difficulties Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G9:
Top Tweeters in G10: