The graph represents a network of 12,267 Twitter users whose recent tweets contained "@darakass OR @mamadoctorjones OR @drjengunter OR @laura.berlingo OR @Medicilio OR @dr_Gineco OR @juliarochasim OR @bikedebigode", 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 Thursday, 25 August 2022 at 17:57 UTC.
The tweets in the network were tweeted over the 3-day, 3-hour, 52-minute period from Monday, 22 August 2022 at 13:17 UTC to Thursday, 25 August 2022 at 17:10 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 : 12267
Unique Edges : 12547
Edges With Duplicates : 10909
Total Edges : 23456
Number of Edge Types : 5
Retweet : 13790
Replies to : 4870
Mentions : 3703
MentionsInRetweet : 817
Tweet : 276
Self-Loops : 294
Reciprocated Vertex Pair Ratio : 0.0243039326968018
Reciprocated Edge Ratio : 0.0474545336027638
Connected Components : 4
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 8966
Maximum Edges in a Connected Component : 17669
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.094782
Graph Density : 0.000101955895691217
Modularity : 0.456595
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 12,267 Twitter users whose recent tweets contained "@darakass OR @mamadoctorjones OR @drjengunter OR @laura.berlingo OR @Medicilio OR @dr_Gineco OR @juliarochasim OR @bikedebigode", 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 Thursday, 25 August 2022 at 17:57 UTC.
The tweets in the network were tweeted over the 3-day, 3-hour, 52-minute period from Monday, 22 August 2022 at 13:17 UTC to Thursday, 25 August 2022 at 17:10 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 : TwitterSearch
Graph Term : @darakass OR @mamadoctorjones OR @drjengunter OR @laura.berlingo OR @Medicilio OR @dr_Gineco OR @juliarochasim OR @bikedebigode
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:
[3825] salud,mental [3728] afecta,electoralmente [3727] atención,primaria [3727] guardias,24h [3726] culpa,nuestra [3725] pueda,dar [3725] 15,días [3723] cita,especialista [3723] especialista,meses [3722] políticos,permiten Top Word Pairs in Tweet in G1:
[3706] salud,mental [3621] afecta,electoralmente [3620] guardias,24h [3620] atención,primaria [3618] 15,días [3618] culpa,nuestra [3615] políticos,permiten [3615] permiten,tengas [3615] tengas,cita [3615] cita,especialista Top Word Pairs in Tweet in G2:
[1048] você,não [556] não,tem [539] eu,não [532] não,sabia [526] dica,não [526] tem,essa [525] essa,eu [525] os,responsáveis [525] não,posta [524] sabia,você Top Word Pairs in Tweet in G3:
[728] god,grant [707] middle,class [701] white,middle [687] confidence,white [686] class,man [685] grant,undying [685] undying,confidence [683] man,mediocre [683] mediocre,résumé [683] résumé,discussing Top Word Pairs in Tweet in G4:
[104] doctor,harmed [104] harmed,thousands [104] thousands,people [104] people,promoting [104] promoting,useless [104] useless,therapies [104] therapies,mediums [26] wfkars,drjengunter [14] shot,starts [13] drjengunter,nytimes Top Word Pairs in Tweet in G5:
[126] sanidad,pública [98] seguridad,social [49] muchas,cosas [46] francisco,franco [46] amigos,paco [45] franco,sería [45] sería,muchas [45] cosas,gracias [45] gracias,tenemos [45] tenemos,sanidad Top Word Pairs in Tweet in G6:
[62] medicilio,estirandochicle [35] terraza,bar [35] mujeres,pueden [34] nivel,conversación [34] conversación,aparecen [34] aparecen,vídeos [34] vídeos,hilo [34] hilo,terraza [34] bar,peor [34] peor,altavoz Top Word Pairs in Tweet in G7:
[29] sim,pessoa [29] pessoa,pariu [29] pariu,amamentar [29] amamentar,seu [29] seu,filho [29] filho,natural [29] natural,não [29] não,natural [29] natural,pessoa [29] pessoa,ter Top Word Pairs in Tweet in G8:
[34] inevitable,restrict [34] restrict,abortions [34] abortions,don [34] don,without [34] without,collateral [34] collateral,damage [22] full,support [22] support,loan [22] loan,forgiveness [22] forgiveness,program Top Word Pairs in Tweet in G9:
[61] alfredinho0974,medicilio [42] _ama_lur_,medicilio [38] marinarvg,medicilio [16] apalnay,marinarvg [14] bdnpaqui,marinarvg [12] pilarote,medicilio [12] mala,madre [10] eodun,gaditanasinmor1 [10] gaditanasinmor1,vetehugo [10] vetehugo,conchilillo Top Word Pairs in Tweet in G10:
[24] tomastoranzo1,vicentematas [17] medicilio,drmiguellazaro [17] drmiguellazaro,asociacionmire [17] asociacionmire,cesm_sindicatos [17] cesm_sindicatos,cesm_cv [17] cesm_cv,tomastoranzo1 [17] angelaamyts,jgt_cto [17] pacientsemergen,medtorek [17] medtorek,jmmj64 [17] jmmj64,medicilio 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 G5:
Top Replied-To in G6:
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: