The graph represents a network of 21,923 Twitter users whose recent tweets contained "Diabetes", 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 Friday, 03 July 2020 at 22:07 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 34-minute period from Thursday, 02 July 2020 at 21:02 UTC to Friday, 03 July 2020 at 21:37 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 : 21923
Unique Edges : 25199
Edges With Duplicates : 3701
Total Edges : 28900
Number of Edge Types : 5
Retweet : 9992
MentionsInRetweet : 4853
Replies to : 4627
Tweet : 4429
Mentions : 4999
Self-Loops : 4584
Reciprocated Vertex Pair Ratio : 0.017822135091784
Reciprocated Edge Ratio : 0.0350201365785327
Connected Components : 5806
Single-Vertex Connected Components : 2530
Maximum Vertices in a Connected Component : 5354
Maximum Edges in a Connected Component : 10525
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 10.714834
Graph Density : 4.75326463699326E-05
Modularity : 0.824271
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 21,923 Twitter users whose recent tweets contained "Diabetes", 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 Friday, 03 July 2020 at 22:07 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 34-minute period from Thursday, 02 July 2020 at 21:02 UTC to Friday, 03 July 2020 at 21:37 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 : Diabetes
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:
[1260] diabetes,cáncer [1238] vasco,costa [1238] hospital,militar [1226] preso,político [1225] cáncer,ocular [1224] político,vasco [1224] ramo,verde [1220] salud,diabetes [1217] graves,padecimientos [1216] trasladado,hospital Top Word Pairs in Tweet in G1:
[172] type,diabetes [103] covid,19 [73] heart,disease [47] gt,gt [45] blood,sugar [44] diabetes,mellitus [40] diabetes,hipertensión [40] disease,diabetes [31] million,step [31] step,challenge Top Word Pairs in Tweet in G2:
[1214] diabetes,cáncer [1213] preso,político [1213] vasco,costa [1212] político,vasco [1212] costa,trasladado [1212] trasladado,hospital [1212] hospital,militar [1212] militar,hacia [1212] hacia,ramo [1212] ramo,verde Top Word Pairs in Tweet in G3:
[352] obesidad,diabetes [306] covid,19 [293] diabetes,males [293] males,crónicos [293] pésima,alimentación [292] analice,número [292] número,lamentables [292] lamentables,fallecimiento [292] fallecimiento,covid [292] 19,deben Top Word Pairs in Tweet in G4:
[68] type,diabetes [50] leer,#diabetes [50] #diabetes,#diabetesp [39] people,diabetes [32] covid,19 [26] living,#diabetes [25] mental,health [25] save,date [25] further,details [25] read,more Top Word Pairs in Tweet in G5:
[162] bribes,novartis [162] novartis,spent [162] spent,hundreds [162] hundreds,millions [162] millions,dollars [162] dollars,called [162] called,speaker [162] speaker,programs [162] programs,including [162] including,speaking Top Word Pairs in Tweet in G6:
[160] brother,died [160] died,diabetes [160] diabetes,years [160] years,having [160] having,ration [160] ration,wrecked [160] wrecked,organs [160] organs,31 [160] 31,35 [160] 35,monday Top Word Pairs in Tweet in G7:
[234] reminder,uk [234] uk,medication [234] medication,diabetes [234] diabetes,free [234] free,point [234] point,delivery [234] delivery,thanks [234] thanks,nhs [234] nhs,hear [234] hear,matt Top Word Pairs in Tweet in G8:
[282] moodewji,congrats [282] congrats,let's [282] let's,join [282] join,forces [282] forces,bring [282] bring,back [282] back,society [282] society,#totmedics [282] #totmedics,totmedics2020 [282] totmedics2020,planning Top Word Pairs in Tweet in G9:
[30] fede_diabetes,psoriasisenred [30] psoriasisenred,artritisjovenes [30] artritisjovenes,esclerosiseme [30] esclerosiseme,escuelapcan [30] escuelapcan,cl_cancerdemama [27] beatrizce78,iris_cu93 [26] polineuropatía,dolorosa [24] saezatxa,beatrizce78 [22] iris_cu93,fede_diabetes [21] pacientes,#diabetes Top Word Pairs in Tweet in G10:
[36] black,lives [20] obesity,diabetes [18] lives,matters [18] matters,company [18] company,outsources [18] outsources,jobs [18] jobs,abroad [18] abroad,embroiled [18] embroiled,child [18] child,labor Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: