The graph represents a network of 4,985 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 11:18 UTC.
The tweets in the network were tweeted over the 1279-day, 5-hour, 35-minute period from Sunday, 30 June 2019 at 19:23 UTC to Saturday, 31 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 : 4985
Unique Edges : 4587
Edges With Duplicates : 31444
Total Edges : 36031
Number of Edge Types : 9
Replies to : 1600
MentionsInReplyTo : 8541
Retweet : 3540
MentionsInRetweet : 8749
Tweet : 737
Quote : 265
MentionsInQuoteReply : 12341
MentionsInQuote : 73
Mentions : 185
Self-Loops : 1685
Reciprocated Vertex Pair Ratio : 0.0464196973119494
Reciprocated Edge Ratio : 0.0887209929843497
Connected Components : 560
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 2890
Maximum Edges in a Connected Component : 31235
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.947209
Graph Density : 0.000372908452484259
Modularity : 0.23882
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,985 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 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 11:18 UTC.
The tweets in the network were tweeted over the 1279-day, 5-hour, 35-minute period from Sunday, 30 June 2019 at 19:23 UTC to Saturday, 31 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:
[665] 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 [647] 第二報,国立感染症研究所 [646] 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 [646] ワクチン接種対象年齢での死亡例のうち88,が未接種 [646] 国立感染症研究所,基礎疾患なしの死亡は58 [645] 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 [645] が未接種,死亡に至る [490] merkaba72,crashdebug_fr [487] bourgeoiseliane,georgette1918 [484] fredchr86587240,alainsebil Top Word Pairs in Tweet in G1:
[641] 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 [637] 第二報,国立感染症研究所 [637] 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 [637] ワクチン接種対象年齢での死亡例のうち88,が未接種 [637] 国立感染症研究所,基礎疾患なしの死亡は58 [636] が未接種,死亡に至る [636] 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 [59] また基礎疾患無しも多い,症状としては悪心嘔吐 [59] 症状としては悪心嘔吐,意識障害 [59] 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 Top Word Pairs in Tweet in G2:
[490] merkaba72,crashdebug_fr [487] bourgeoiseliane,georgette1918 [484] fredchr86587240,alainsebil [483] georgette1918,fredchr86587240 [465] jlmelenchon,didiermaisto [413] pandantag,merkaba72 [369] didiermaisto,zemmoureric [365] zemmoureric,j_bardella [362] crashdebug_fr,sitting_bull_d [361] j_bardella,emmanuelmacron Top Word Pairs in Tweet in G3:
[137] #covid19,vaccines [135] risk,severe [134] weakened,immune [102] higher,risk [99] stay,date [97] medical,conditions [97] people,medical [97] adults,people [97] older,adults [97] systems,people Top Word Pairs in Tweet in G4:
[136] 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 [136] 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 [136] 米cdc,マスクの使用は安全であり [135] dadshonan,米cdc [61] 両方ともyoutube配信もあり,大阪や鳥取も動画配信あり [61] 東京は毎週か,2週間に1回モニタリング会議 [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 [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] もっと頻度が高い,両方ともyoutube配信もあり [61] 神奈川は不定期だが,もっと頻度が高い Top Word Pairs in Tweet in G5:
[84] 2019,ncov [71] covid,19 [61] cases,increase [61] recombinomics,inc [61] ncov,recombinomics [60] covid,cases [18] 2022,12 [15] sars,cov [14] learn,more [10] 홈페이지,참고 Top Word Pairs in Tweet in G6:
[168] important,covid [168] yellowcard,raw [168] full,download [168] before,delete [168] raw,data [168] download,before [168] available,mhragovuk [168] covid,vaccine [168] vaccine,yellowcard [168] data,available Top Word Pairs in Tweet in G7:
[12] tedlieu,davidzweig [10] elonmusk,kelleykga [10] covid,19 [10] kelleykga,tedlieu [10] davidzweig,communitynotes [9] nitton76,davidzweig [6] nucleus,cell [5] kimdotcom,amazing [5] jeffneelzebubii,elonmusk [5] clip,cdc Top Word Pairs in Tweet in G8:
[5] hoothathuh,nicolas_gaboury [5] ncov,19 [4] vusuxballs,hampson14jane [4] cubanigar,cachepast [4] nathanaelyoung,tbd77 [4] janehogarth84,djchicus [4] mattyboysmit1,joe09396262 [4] billsam390,zxbxngxz [4] jagerx9,leelasik [4] ssz1967,janehogarth84 Top Word Pairs in Tweet in G9:
[243] 詳細,co [241] qnzux8c1z3,検査前で症状がある方 [241] co,qnzux8c1z3 [235] 検査前で症状がある方,検査 [235] ibaraki_kouhou,#新型コロナウイルス感染症情報 [178] 23名,本日の死亡者 [178] うち重症者,23名 [65] 本日の新規陽性者数,075名 [65] 本日の死亡者,7名 [65] 590名,うち重症者 Top Word Pairs in Tweet in G10:
[244] casos,nuevos [244] casos,activos [244] fallecidos,registrados [244] informe,diario [244] diario,#covid_19 [238] ministeriosalud,informe [148] registrados,63 [102] nuevos,10 [102] activos,fallecidos [73] 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 G6:
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: