The graph represents a network of 10,040 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 Wednesday, 28 December 2022 at 08:46 UTC.
The requested start date was Wednesday, 28 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, 7-minute period from Sunday, 25 December 2022 at 12:12 UTC to Tuesday, 27 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 : 10040
Unique Edges : 5208
Edges With Duplicates : 12098
Total Edges : 17306
Number of Edge Types : 5
Tweet : 2710
Retweet : 5441
MentionsInRetweet : 6095
Mentions : 1859
Replies to : 1201
Self-Loops : 2746
Reciprocated Vertex Pair Ratio : 0.00434833705488306
Reciprocated Edge Ratio : 0.00865902176456822
Connected Components : 2490
Single-Vertex Connected Components : 764
Maximum Vertices in a Connected Component : 2858
Maximum Edges in a Connected Component : 6357
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.613473
Graph Density : 8.47888454152312E-05
Modularity : 0.546531
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,040 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 Wednesday, 28 December 2022 at 08:46 UTC.
The requested start date was Wednesday, 28 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, 7-minute period from Sunday, 25 December 2022 at 12:12 UTC to Tuesday, 27 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:
[1692] covid,19 [251] manuelrico,hoy [196] covid,vaccines [193] gobierno,ayuso [192] aprobó,protocolo [192] días,gobierno [192] protocolo,impedía [192] trasladar,hospital [192] impedía,trasladar [192] ayuso,aprobó Top Word Pairs in Tweet in G1:
[206] covid,19 [18] 19,outbreak [17] spread,country [17] china,economy [17] continued,slow [17] economy,continued [17] outbreak,spread [17] slow,december [17] december,massive [17] massive,covid Top Word Pairs in Tweet in G2:
[202] covid,19 [165] 19,humans [165] humans,100 [165] versus,covid [165] ivermectin,versus [165] 100,shown [165] positive,results [165] shown,positive [165] results,29 [165] analysis,63 Top Word Pairs in Tweet in G3:
[251] manuelrico,hoy [193] gobierno,ayuso [192] ayuso,aprobó [192] aprobó,protocolo [192] días,gobierno [192] trasladar,hospital [192] impedía,trasladar [192] protocolo,impedía [189] hospital,residentes [171] residentes,vulner Top Word Pairs in Tweet in G4:
[41] covid,19 [21] long,covid [16] china,covid [16] saturday,according [16] tesla,halted [16] according,people [16] production,shanghai [16] people,familiar [16] matter,china [16] shanghai,plant Top Word Pairs in Tweet in G5:
[77] twitter,files [61] covid,debate [61] twitter,rigged [61] info,true [61] thread,twitter [61] true,inconvenient [61] censoring,info [61] debate,censoring [61] rigged,covid [61] files,twitter Top Word Pairs in Tweet in G6:
[13] covid,19 [11] due,covid [8] please,please [8] candidates,wasted [8] prt,recruitment [8] र,क [8] general,category [8] limit,general [8] age,limit [8] category,present Top Word Pairs in Tweet in G7:
[36] vacinas,covid [35] conselheiro,covid [35] branca,dr [35] admite,em [35] jha,finalmente [35] chamada,zoom [35] em,uma [35] uma,recente [35] máscaras,principal [35] recente,chamada Top Word Pairs in Tweet in G8:
[27] experts,questioned [27] medical,experts [27] admin,pressured [27] biden,admin [27] pressured,twitter [25] covid,guidance [22] questioned,covid [21] vaccine,rollout [20] twitter,shut [20] guidance,never Top Word Pairs in Tweet in G9:
[128] ป,ประว [128] ประว,ต [128] น,าสนใจมากว [128] ต,ศาสตร [128] จ,นเหม [128] แต,น [128] าอ,ก [128] อ,กละเหรอวะ [128] นเหม,อนจะให [128] ญโลกป,2023 Top Word Pairs in Tweet in G10:
[22] covidの致死率は予防接種により下がっていますが,それを凌駕する感染爆発となっています [22] それを凌駕する感染爆発となっています,また医療逼迫によりその他の疾患でも適切な治療を受けるのが困難な状況です [22] 本日のcovid死亡者は過去最悪の438人となってしまいました,covidの致死率は予防接種により下がっていますが [21] mikito_777,本日のcovid死亡者は過去最悪の438人となってしまいました [21] また医療逼迫によりその他の疾患でも適切な治療を受けるのが困難な状況です,何卒ご注 [21] covid,19 [11] covidで亡くなる人,苦しむ人を1人でも減らそうと懸命に頑張ってきた医療従事者に [11] 誹謗中傷をしていた方々に恐怖をおぼえて頂けるなら,まさに狙い通りです [11] 苦しむ人を1人でも減らそうと懸命に頑張ってきた医療従事者に,人殺し [11] 人殺し,等の罵声を浴びせる行為は許されないと理解して頂けたと思います Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: