The graph represents a network of 4,230 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 09:33 UTC.
The tweets in the network were tweeted over the 1159-day, 12-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 19 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4230
Unique Edges : 2820
Edges With Duplicates : 12395
Total Edges : 15215
Number of Edge Types : 9
Replies to : 2893
MentionsInReplyTo : 5244
Retweet : 2285
MentionsInRetweet : 3529
Quote : 107
MentionsInQuoteReply : 341
Tweet : 497
Mentions : 124
MentionsInQuote : 195
Self-Loops : 791
Reciprocated Vertex Pair Ratio : 0.0468454258675079
Reciprocated Edge Ratio : 0.089498267289438
Connected Components : 332
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 2558
Maximum Edges in a Connected Component : 10728
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.663717
Graph Density : 0.000371016962133015
Modularity : 0.357615
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,230 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 09:33 UTC.
The tweets in the network were tweeted over the 1159-day, 12-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 19 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : NCoV
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:
[272] informe,diario [272] casos,activos [272] registrados,64 [272] diario,#covid_19 [272] casos,nuevos [272] fallecidos,registrados [269] site,oms [269] próprio,site [265] ministeriosalud,informe [251] 詳細,co Top Word Pairs in Tweet in G1:
[45] chomenterprise,_2019_ncov [42] _2019_ncov,c'est [40] _2019_ncov,ils [39] bouip,boop [39] _2019_ncov,bouip [38] plus,jamais [37] faire,c'est [37] ils,ont [37] français,doivent [37] laisser,faire Top Word Pairs in Tweet in G2:
[110] yvespdb,_2019_ncov [105] #alexandre,immonde [105] vite,exorciste [105] ignorance,vite [105] démoniaque,fausseté [105] _2019_ncov,cet [105] immonde,démoniaque [105] exorciste,ses [105] fausseté,ignorance [105] cet,#alexandre Top Word Pairs in Tweet in G3:
[86] boosting,children [86] masking,boosting [86] cdc,still [86] still,obsessed [86] obsessed,masking [86] biweekly,update [86] newsletter,wtf [86] children,biweekly [86] update,newsletter [85] kelleykga,cdc Top Word Pairs in Tweet in G4:
[269] site,oms [269] próprio,site [136] uma,pesquisa [136] meningite,segundo [136] coincidência,próprio [136] oms,uma [136] mrna,casos [136] relaciona,vacina [136] vacina,mrna [136] casos,meningite Top Word Pairs in Tweet in G5:
[198] featured,video [198] retweet,featured [198] woman,uses [198] fbi,harassing [198] reading,agree [198] agree,please [198] please,retweet [198] video,fbi [198] harassing,woman [197] thesheilag2024,reading Top Word Pairs in Tweet in G6:
[272] diario,#covid_19 [272] informe,diario [272] casos,activos [272] fallecidos,registrados [272] registrados,64 [272] casos,nuevos [265] ministeriosalud,informe [101] activos,fallecidos [100] nuevos,12 [65] marzo,752 Top Word Pairs in Tweet in G7:
[84] 2019,ncov [65] recombinomics,inc [65] cases,increase [65] ncov,recombinomics [64] covid,cases [62] covid,19 [11] learn,more [11] coronavirus,2019 [7] deaths,13 [6] york,times Top Word Pairs in Tweet in G8:
[10] lrestistant73,_2019_ncov [5] pascaletienne15,pantherenoire01 [5] pantherenoire01,france_soir [4] takeheight,_2019_ncov [4] _2019_ncov,lrestistant73 [4] _2019_ncov,rtlfrance [3] _2019_ncov,lesrepublicains [3] peut,être [3] _2019_ncov,bobrobe83346378 [3] ils,sont Top Word Pairs in Tweet in G9:
[250] 詳細,co [250] co,qnzux8c1z3 [246] qnzux8c1z3,検査前で症状がある方 [245] うち重症者,0名 [245] 0名,本日の死亡者 [242] ibaraki_kouhou,#新型コロナウイルス感染症情報 [154] 0名,詳細 [154] 本日の死亡者,0名 [146] 検査前で症状がある方,検査で陽性と判 [95] 67名,うち重症者 Top Word Pairs in Tweet in G10:
[27] 米cdcのマスクのページ,昨年の9月に更新されて以来変わっていないが [27] 昨年の9月に更新されて以来変わっていないが,公衆衛生対策の道具としての使い方が明確に示されている [26] orientis312,米cdcのマスクのページ [19] 米cdc,マスクの使用は安全であり [19] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない,マスク着用が子供の感情や言語の発達を損なうという明確な証拠はない [19] マスクの使用は安全であり,激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない [18] dadshonan,米cdc [9] covidの感染経路は,主に [9] エアロゾルへの効果は高くないにしても,飛沫感染 [9] 一般の不織布マスクなどを着用した場合,エアロゾルへの効果は高くないにしても Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
Top Replied-To in G10:
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:
Top Tweeters in G2:
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: