The graph represents a network of 4 501 Twitter users whose recent tweets contained "#mRNA", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 24 April 2022 at 13:23 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 32-minute period from Saturday, 16 April 2022 at 14:11 UTC to Sunday, 24 April 2022 at 12:43 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 4501
Unique Edges : 5007
Edges With Duplicates : 962
Total Edges : 5969
Number of Edge Types : 5
Retweet : 3823
Tweet : 692
Replies to : 333
MentionsInRetweet : 639
Mentions : 482
Self-Loops : 764
Reciprocated Vertex Pair Ratio : 0,003280032800328
Reciprocated Edge Ratio : 0,00653861871679608
Connected Components : 475
Single-Vertex Connected Components : 229
Maximum Vertices in a Connected Component : 2642
Maximum Edges in a Connected Component : 3528
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6,923661
Graph Density : 0,000241625317830606
Modularity : 0,786068
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275444
Data Import : The graph represents a network of 4 501 Twitter users whose recent tweets contained "#mRNA", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 24 April 2022 at 13:23 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 32-minute period from Saturday, 16 April 2022 at 14:11 UTC to Sunday, 24 April 2022 at 12:43 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : #mRNA
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[957] #mrna,#covid19 [910] finalmente,ci [910] ci,sono [910] sono,magistrati [910] magistrati,che [910] che,mettono [910] mettono,nero [910] nero,su [910] su,bianco [910] bianco,la Top Word Pairs in Tweet in G1:
[812] finalmente,ci [812] ci,sono [812] sono,magistrati [812] magistrati,che [812] che,mettono [812] mettono,nero [812] nero,su [812] su,bianco [812] bianco,la [812] la,vera Top Word Pairs in Tweet in G2:
[443] 1,n [443] n,#mrna [443] #mrna,#impfung [443] #impfung,#covid [443] #covid,die [443] die,impfung [443] impfung,ist [443] ist,heißt [443] heißt,diskutiert [443] diskutiert,extreme Top Word Pairs in Tweet in G3:
[243] #vaccino,#mrna [226] green,pass [226] pass,il [226] il,vero [226] vero,scopo [226] scopo,di [226] di,questa [226] questa,tessera [226] tessera,fascista [226] fascista,era Top Word Pairs in Tweet in G4:
[16] #pfizer,#moderna [13] covid,19 [11] #mrna,vaccines [11] of,the [10] #mrna,#pfizer [10] #mrna,#covid19 [9] #mrna,#vaccines [9] in,the [8] #moderna,#mrna [8] #mrna,#vaccine Top Word Pairs in Tweet in G5:
[63] #mrna,technology [59] https,t [59] t,co [58] to,receive [56] #news,who [56] who,and [56] and,mpp [56] mpp,announce [56] announce,names [56] names,of Top Word Pairs in Tweet in G6:
[154] in,the [151] #who,issues [151] issues,alert [151] alert,about [151] about,new [151] new,form [151] form,of [151] of,severe [151] severe,acute [151] acute,#hepatitis Top Word Pairs in Tweet in G7:
[101] 1,4 [101] 4,the [101] the,#transgenderism [101] #transgenderism,agenda [101] agenda,and [101] and,#mrna [101] #mrna,technology [101] technology,are [101] are,highly [101] highly,tied Top Word Pairs in Tweet in G8:
[79] #ryancole博士,#癌症像野火一样迅速蔓延 [79] #癌症像野火一样迅速蔓延,#刺突蛋白 [79] #刺突蛋白,打进身体的疫苗 [79] 打进身体的疫苗,#mrna [79] #mrna,脂质纳米颗粒等有毒物质 [79] 脂质纳米颗粒等有毒物质,削弱了你的免疫系统 [79] 削弱了你的免疫系统,关闭了免疫反应 [66] 关闭了免疫反应,#drryancole [66] #drryancole,#cancers [66] #cancers,taking Top Word Pairs in Tweet in G9:
[13] #mrna,#cancer [10] the,#mrna [10] #mrna,#vaccine [9] in,the [9] via,youtube [9] technology,that [8] that,the [7] of,the [7] we,are [7] promising,cancer Top Word Pairs in Tweet in G10:
[66] without,the [66] higher,level [66] level,of [65] just,as [65] as,effective [65] effective,as [63] #sinovac,traditional [63] reactions,and [63] and,side [63] side,effects Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
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: