The graph represents a network of 4,924 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 10:15 UTC.
The tweets in the network were tweeted over the 1278-day, 5-hour, 35-minute period from Sunday, 30 June 2019 at 19:23 UTC to Friday, 30 December 2022 at 00:58 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 : 4924
Unique Edges : 4162
Edges With Duplicates : 32555
Total Edges : 36717
Number of Edge Types : 9
Retweet : 3470
MentionsInRetweet : 8227
MentionsInReplyTo : 8755
Replies to : 1654
Tweet : 747
Quote : 295
MentionsInQuoteReply : 13270
Mentions : 224
MentionsInQuote : 75
Self-Loops : 1775
Reciprocated Vertex Pair Ratio : 0.0480047647409172
Reciprocated Edge Ratio : 0.0916117299386224
Connected Components : 576
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 3060
Maximum Edges in a Connected Component : 32487
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.821768
Graph Density : 0.000362941038541055
Modularity : 0.225887
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,924 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 10:15 UTC.
The tweets in the network were tweeted over the 1278-day, 5-hour, 35-minute period from Sunday, 30 June 2019 at 19:23 UTC to Friday, 30 December 2022 at 00:58 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:
[658] merkaba72,crashdebug_fr [648] fredchr86587240,alainsebil [634] bourgeoiseliane,georgette1918 [630] georgette1918,fredchr86587240 [596] 新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査,第二報 [579] 第二報,国立感染症研究所 [578] 基礎疾患なしの死亡は58,ワクチン接種対象年齢での死亡例のうち88 [578] ワクチン接種対象年齢での死亡例のうち88,が未接種 [578] 国立感染症研究所,基礎疾患なしの死亡は58 [577] earl_covid19_tw,新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査 Top Word Pairs in Tweet in G1:
[565] 新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査,第二報 [562] 基礎疾患なしの死亡は58,ワクチン接種対象年齢での死亡例のうち88 [562] 国立感染症研究所,基礎疾患なしの死亡は58 [562] ワクチン接種対象年齢での死亡例のうち88,が未接種 [562] 第二報,国立感染症研究所 [561] が未接種,死亡に至る [561] earl_covid19_tw,新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査 [53] 接種率を考慮しても未接種者の割合が高め,発症から心肺停止までの期間がかなり短い [53] 発症から心肺停止までの期間がかなり短い,また基礎疾患無しも多い [53] また基礎疾患無しも多い,症状としては悪心嘔吐 Top Word Pairs in Tweet in G2:
[658] merkaba72,crashdebug_fr [648] fredchr86587240,alainsebil [634] bourgeoiseliane,georgette1918 [630] georgette1918,fredchr86587240 [452] pandantag,merkaba72 [444] jlmelenchon,didiermaisto [428] crashdebug_fr,sitting_bull_d [391] didiermaisto,zemmoureric [390] alainsebil,mazagan_ft [387] zemmoureric,j_bardella Top Word Pairs in Tweet in G3:
[97] higher,risk [93] risk,severe [92] conditions,higher [92] people,weakened [92] older,adults [92] adults,people [92] systems,people [92] immune,systems [92] weakened,immune [92] medical,conditions Top Word Pairs in Tweet in G4:
[135] 米cdc,マスクの使用は安全であり [135] 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 [135] 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 [134] dadshonan,米cdc [61] もっと頻度が高い,両方ともyoutube配信もあり [61] 東京は毎週か,2週間に1回モニタリング会議 [61] 神奈川は不定期だが,もっと頻度が高い [61] 両方ともyoutube配信もあり,大阪や鳥取も動画配信あり [61] 2週間に1回モニタリング会議,神奈川は不定期だが [61] 千葉県はあまりコロナ対策会議しないようですね,東京は毎週か Top Word Pairs in Tweet in G5:
[351] 詳細,co [349] qnzux8c1z3,検査前で症状がある方 [349] co,qnzux8c1z3 [344] 検査前で症状がある方,検査 [344] ibaraki_kouhou,#新型コロナウイルス感染症情報 [129] 23名,本日の死亡者 [129] うち重症者,23名 [122] covid,19 [122] information,multiple [122] multiple,languages Top Word Pairs in Tweet in G6:
[85] 2019,ncov [78] covid,19 [63] cases,increase [63] recombinomics,inc [63] ncov,recombinomics [62] covid,cases [21] 2022,12 [16] 19,vaccines [15] sars,cov [13] learn,more Top Word Pairs in Tweet in G7:
[31] _2019_ncov,tronchebiais [28] fvfhtdpetmgold7,_2019_ncov [21] remdesivir,autre [21] autre,nom [21] nocif,remdesivir [21] nom,personnel [21] utilise,maintenant [21] médical,utilise [21] personnel,médical [21] médicament,extrêmement Top Word Pairs in Tweet in G8:
[12] tedlieu,davidzweig [10] elonmusk,kelleykga [10] kelleykga,tedlieu [10] davidzweig,communitynotes [9] nitton76,davidzweig [8] nucleus,cell [8] covid,19 [7] kimdotcom,amazing [7] clip,cdc [7] cdc,mrna Top Word Pairs in Tweet in G9:
[4] vusuxballs,hampson14jane [4] cubanigar,cachepast [4] nathanaelyoung,tbd77 [4] janehogarth84,djchicus [4] mattyboysmit1,joe09396262 [4] billsam390,zxbxngxz [4] jagerx9,leelasik [4] ssz1967,janehogarth84 [4] mhunt081266,5shezz4 [4] zeviax3,jagerx9 Top Word Pairs in Tweet in G10:
[262] casos,nuevos [262] casos,activos [262] fallecidos,registrados [262] informe,diario [262] diario,#covid_19 [255] ministeriosalud,informe [148] registrados,63 [102] nuevos,10 [102] activos,fallecidos [68] 51,fallecidos 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 G4:
Top Replied-To in G5:
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:
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: