The graph represents a network of 4,858 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 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:33 UTC.
The tweets in the network were tweeted over the 1079-day, 23-hour, 28-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 29 December 2022 at 10:46 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 : 4858
Unique Edges : 3838
Edges With Duplicates : 30007
Total Edges : 33845
Number of Edge Types : 9
Retweet : 3479
MentionsInRetweet : 7980
MentionsInReplyTo : 7465
Replies to : 1639
Tweet : 756
MentionsInQuoteReply : 11983
Quote : 260
MentionsInQuote : 60
Mentions : 223
Self-Loops : 1754
Reciprocated Vertex Pair Ratio : 0.0487589769434295
Reciprocated Edge Ratio : 0.092984142239308
Connected Components : 598
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 2845
Maximum Edges in a Connected Component : 29214
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.328173
Graph Density : 0.00035278203215504
Modularity : 0.232274
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,858 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 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:33 UTC.
The tweets in the network were tweeted over the 1079-day, 23-hour, 28-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 29 December 2022 at 10:46 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:
[692] merkaba72,crashdebug_fr [687] fredchr86587240,alainsebil [679] bourgeoiseliane,georgette1918 [675] georgette1918,fredchr86587240 [574] 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 [560] 第二報,国立感染症研究所 [559] 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 [559] ワクチン接種対象年齢での死亡例のうち88,が未接種 [559] 国立感染症研究所,基礎疾患なしの死亡は58 [558] 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:
[542] 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 [539] 第二報,国立感染症研究所 [539] 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 [539] ワクチン接種対象年齢での死亡例のうち88,が未接種 [539] 国立感染症研究所,基礎疾患なしの死亡は58 [538] が未接種,死亡に至る [538] 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 [31] また基礎疾患無しも多い,症状としては悪心嘔吐 [31] 症状としては悪心嘔吐,意識障害 [31] 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:
[692] merkaba72,crashdebug_fr [687] fredchr86587240,alainsebil [679] bourgeoiseliane,georgette1918 [675] georgette1918,fredchr86587240 [444] pandantag,merkaba72 [431] alainsebil,mazagan_ft [369] crashdebug_fr,bourgeoiseliane [362] jlmelenchon,didiermaisto [362] crashdebug_fr,sitting_bull_d [340] didiermaisto,zemmoureric Top Word Pairs in Tweet in G3:
[111] #covid19,booster [108] bivalent,#covid19 [108] updated,bivalent [63] higher,risk [62] booster,months [61] last,booster [61] primary,series [61] months,completing [61] series,last [61] completing,primary Top Word Pairs in Tweet in G4:
[133] 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 [133] 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 [133] 米cdc,マスクの使用は安全であり [132] 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:
[100] covid,19 [81] 2019,ncov [53] cases,increase [53] covid,cases [53] recombinomics,inc [53] ncov,recombinomics [20] 2022,12 [19] 19,vaccines [17] sars,cov [14] learn,more Top Word Pairs in Tweet in G6:
[36] _2019_ncov,tronchebiais [32] fvfhtdpetmgold7,_2019_ncov [21] autre,nom [21] nom,personnel [21] remdesivir,autre [21] médicament,extrêmement [21] médical,utilise [21] nocif,remdesivir [21] utilise,maintenant [21] personnel,médical Top Word Pairs in Tweet in G7:
[12] tedlieu,davidzweig [10] elonmusk,kelleykga [10] kelleykga,tedlieu [10] davidzweig,communitynotes [9] nitton76,davidzweig [8] nucleus,cell [7] kimdotcom,amazing [7] clip,cdc [7] cdc,mrna [7] amazing,files Top Word Pairs in Tweet in G8:
[25] illness,covid [25] severe,illness [25] high,risk [24] ppl,high [24] regular,reminder [24] risk,severe [24] reminder,list [24] covid,extensive [24] list,conditions [24] make,ppl Top Word Pairs in Tweet in G9:
[230] diario,#covid_19 [230] informe,diario [230] casos,activos [230] fallecidos,registrados [230] casos,nuevos [223] ministeriosalud,informe [147] registrados,63 [109] nuevos,10 [102] activos,fallecidos [59] 517,casos Top Word Pairs in Tweet in G10:
[377] 詳細,co [368] ibaraki_kouhou,#新型コロナウイルス感染症情報 [320] qnzux8c1z3,検査前で症状がある方 [320] co,qnzux8c1z3 [318] 検査前で症状がある方,検査 [108] うち重症者,23名 [108] 23名,本日の死亡者 [104] うち重症者,20名 [104] 20名,本日の死亡者 [68] 本日の死亡者,7名 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 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: