The graph represents a network of 8,348 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 09:11 UTC.
The requested start date was Friday, 01 July 2022 at 00:01 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 2-day, 0-hour, 45-minute period from Tuesday, 28 June 2022 at 11:39 UTC to Thursday, 30 June 2022 at 12:25 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 : 8348
Unique Edges : 3901
Edges With Duplicates : 11448
Total Edges : 15349
Number of Edge Types : 5
Replies to : 578
Mentions : 1468
Tweet : 2534
Retweet : 5091
MentionsInRetweet : 5678
Self-Loops : 2619
Reciprocated Vertex Pair Ratio : 0.00531227566403446
Reciprocated Edge Ratio : 0.0105684090259926
Connected Components : 2082
Single-Vertex Connected Components : 1003
Maximum Vertices in a Connected Component : 2101
Maximum Edges in a Connected Component : 5033
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 9.81087
Graph Density : 0.000100486854648936
Modularity : 0.506703
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,348 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 09:11 UTC.
The requested start date was Friday, 01 July 2022 at 00:01 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 2-day, 0-hour, 45-minute period from Tuesday, 28 June 2022 at 11:39 UTC to Thursday, 30 June 2022 at 12:25 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 : Coronavirus
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:
[696] covid,19 [670] ursula,leyen [661] leyen,exchanged [659] elite,demand [659] demand,privacy [659] privacy,themselves [659] themselves,refusing [659] refusing,transparency [659] transparency,ursula [658] maajidnawaz,elite Top Word Pairs in Tweet in G1:
[165] covid,19 [46] 200,000 [42] 000,over [42] over,25 [42] 25,years [33] #coronavirus,#covid19 [30] 25,mortgage [27] #covid19,#coronavirus [26] coronavirus,pandemic [20] र,न Top Word Pairs in Tweet in G2:
[642] elite,demand [642] demand,privacy [642] privacy,themselves [642] themselves,refusing [642] refusing,transparency [642] transparency,ursula [642] ursula,leyen [642] leyen,exchanged [641] maajidnawaz,elite [641] exchanged,tex Top Word Pairs in Tweet in G3:
[367] mediavenir,flash [136] vacances,pourraient [136] pourraient,être [135] flash,vacances [135] être,gâchées [135] gâchées,par [135] par,l'émergence [135] l'émergence,nouveaux [135] nouveaux,variants [135] variants,#covid19 Top Word Pairs in Tweet in G4:
[257] cdc,caught [257] caught,using [254] using,highly [254] highly,misleading [254] misleading,data [254] data,justify [254] justify,covid [254] covid,shots [254] shots,kids [254] kids,contacted Top Word Pairs in Tweet in G5:
[258] 詳細は下記urlより,#新型コロナウイルス [241] #新型コロナウイルス,#covid19 [65] 警報,全国 [64] bb45_colorado,警報 [52] jun_makino,欧米はこんな感じでここ1ヶ月増加傾向なので日本もまあそうなるかなと [36] 1人死亡,詳細は下記urlより [26] 全国,全国統計で日毎新規感染者数は [26] 全国統計で日毎新規感染者数は,20以降9日間連続して前週比増加している [26] 20以降9日間連続して前週比増加している,同一週間変化率は [26] 同一週間変化率は,5日以内に Top Word Pairs in Tweet in G6:
[93] 6月28日,新型コロナウイルス最新感染状況マップ [93] 新型コロナウイルス最新感染状況マップ,感染者数 [93] 感染者数,19 [93] 19,387人 [93] 387人,死者数 [93] 死者数,108人 [93] 108人,どうして死者数がこんなに多いのか [93] どうして死者数がこんなに多いのか,調べたら [93] 調べたら,大阪府が92人を一気に計上 [93] 大阪府が92人を一気に計上,大阪府民は Top Word Pairs in Tweet in G7:
[81] welcome,sick [81] sick,man [74] coronavirus,cases [72] cases,soaring [72] soaring,re [72] re,infections [72] infections,common [72] common,sick [72] sick,pay [72] pay,free Top Word Pairs in Tweet in G8:
[19] #lindungdirilindungsemua,#kitajagakita [19] #kitajagakita,#kitamestimenang [17] #komunikasikita,#lindungdirilindungsemua [13] marcgozlan,#covid19 [13] #covid19,nombre [13] nombre,moyen [13] moyen,cas [13] cas,jours [13] jours,glissants [13] glissants,dépasse Top Word Pairs in Tweet in G9:
[36] more,times [35] times,more [35] more,unlucky [35] unlucky,end [35] end,#longcovid [35] #longcovid,thing [35] thing,none [34] loscharlos,more [20] haters,hybrid [20] hybrid,immunity Top Word Pairs in Tweet in G10:
[30] people,see [30] see,virus [30] virus,air [30] air,way [30] way,see [30] see,surface [30] surface,becomes [30] becomes,soiled [30] soiled,dirty [30] dirty,beyond Top Replied-To in Entire Graph:
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 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: