The graph represents a network of 6,453 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 December 2022 at 10:25 UTC.
The requested start date was Friday, 23 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 5-day, 21-hour, 29-minute period from Friday, 16 December 2022 at 14:46 UTC to Thursday, 22 December 2022 at 12:15 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 : 6453
Unique Edges : 7038
Edges With Duplicates : 20891
Total Edges : 27929
Number of Edge Types : 5
Replies to : 3199
Mentions : 13011
Tweet : 788
Retweet : 3698
MentionsInRetweet : 7233
Self-Loops : 860
Reciprocated Vertex Pair Ratio : 0.0495503597122302
Reciprocated Edge Ratio : 0.0944220718019022
Connected Components : 522
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 4613
Maximum Edges in a Connected Component : 25159
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.500815
Graph Density : 0.000280318683745859
Modularity : 0.347229
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,453 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 December 2022 at 10:25 UTC.
The requested start date was Friday, 23 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 5-day, 21-hour, 29-minute period from Friday, 16 December 2022 at 14:46 UTC to Thursday, 22 December 2022 at 12:15 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 : 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:
[483] covid,19 [377] 詳細,co [367] ibaraki_kouhou,#新型コロナウイルス感染症情報 [323] two,years [302] 検査前で症状がある方,検査 [252] co,qnzux8t4b3 [252] qnzux8t4b3,検査前で症状がある方 [247] covid,jabs [220] years,ago [219] wrote,two Top Word Pairs in Tweet in G1:
[111] nad_e_85,_2019_ncov [109] alexterieur77,nad_e_85 [83] ah,ah [68] ils,ont [54] supraskurono,_2019_ncov [52] _2019_ncov,c'est [39] toutes,ces [38] vhpreui,_2019_ncov [38] _2019_ncov,toutes [37] ont,tellement Top Word Pairs in Tweet in G2:
[166] covid,19 [138] public,transportation [138] traveling,holidays [132] cdcgov,traveling [123] masks,indoor [123] holidays,cdc [123] recommend,people [123] people,wear [123] areas,public [123] cdc,continues Top Word Pairs in Tweet in G3:
[207] fredchr86587240,alainsebil [187] alainsebil,mazagan_ft [163] didiermaisto,zemmoureric [163] zemmoureric,j_bardella [161] jlmelenchon,didiermaisto [150] royalsegolene,idrissaberkane [149] idrissaberkane,upr_asselineau [148] statchriscotton,yaelbraunpivet [148] brigittepascall,statchriscotton [148] brunolemaire,elonmusk Top Word Pairs in Tweet in G4:
[219] years,ago [219] jabs,knew [219] two,years [219] covid,jabs [219] knew,transmission [219] ago,covid [219] wrote,two [218] zoeharcombe,wrote [218] transmission,bee [38] 000,000 Top Word Pairs in Tweet in G5:
[115] covid,19 [85] 2019,ncov [72] cases,increase [72] recombinomics,inc [72] ncov,recombinomics [71] covid,cases [32] updated,visit [32] website,updated [29] english,website [25] sars,cov Top Word Pairs in Tweet in G6:
[371] 詳細,co [362] ibaraki_kouhou,#新型コロナウイルス感染症情報 [298] 検査前で症状がある方,検査 [248] co,qnzux8t4b3 [248] qnzux8t4b3,検査前で症状がある方 [181] 13名,本日の死亡者 [181] うち重症者,13名 [123] co,qnzux8c1z3 [117] うち重症者,16名 [117] 16名,本日の死亡者 Top Word Pairs in Tweet in G7:
[69] 予想通り,今日から県内全圏域について [69] 今日から県内全圏域について,フェーズ3に引き上げることとなり [69] フェーズ3に引き上げることとなり,優先順位をつけた入院になってしまいました [68] dondeli,予想通り [58] 優先順位をつけた入院になるんじゃないかな,すでに簡単には入院できない状況になってしまってます [58] もう来週にはフェーズ3になって,優先順位をつけた入院になるんじゃないかな [58] 東葛北部医療圏の病床使用率はとうとう120,に達してしまいました [58] 県内でもダントツですね,もう来週にはフェーズ3になって [58] に達してしまいました,県内でもダントツですね [57] dondeli,東葛北部医療圏の病床使用率はとうとう120 Top Word Pairs in Tweet in G8:
[100] ils,voulaient [100] voulaient,j'utilise [50] paul,marik [50] hôpital,ils [50] vitamine,ils [50] mon,hôpital [50] dr,paul [50] marik,mon [50] j'utilise,vitamine [49] julienm__,dr Top Word Pairs in Tweet in G9:
[46] fun,game [38] airborne,prevention [38] guidance,airborne [38] experts,engineers [38] listening,guidance [38] prevention,experts [38] maybe,start [38] start,listening [31] immune,dysregulation [29] sars2,negatively Top Word Pairs in Tweet in G10:
[79] bibliographie,transmission [79] infections,ade [79] breakthrough,infections [79] transmission,breakthrough [78] annelisebocquet,bibliographie [47] _2019_ncov,tronchebiais [19] fvfhtdpetmgold7,_2019_ncov [9] parce,ce [9] tronchebiais,conspiration [9] dons,été 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: