The graph represents a network of 9,869 Twitter users whose tweets in the requested range contained "diabetes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 04:36 UTC.
The requested start date was Monday, 10 August 2020 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 1-day, 2-hour, 42-minute period from Saturday, 08 August 2020 at 21:18 UTC to Monday, 10 August 2020 at 00:00 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 : 9869
Unique Edges : 6088
Edges With Duplicates : 8400
Total Edges : 14488
Number of Edge Types : 5
Retweet : 3583
MentionsInRetweet : 4516
Tweet : 2361
Mentions : 2020
Replies to : 2008
Self-Loops : 2426
Reciprocated Vertex Pair Ratio : 0.00987466767945309
Reciprocated Edge Ratio : 0.0195562241444152
Connected Components : 3191
Single-Vertex Connected Components : 1347
Maximum Vertices in a Connected Component : 1057
Maximum Edges in a Connected Component : 2123
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.709588
Graph Density : 8.19100709772277E-05
Modularity : 0.607528
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,869 Twitter users whose tweets in the requested range contained "diabetes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 04:36 UTC.
The requested start date was Monday, 10 August 2020 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 1-day, 2-hour, 42-minute period from Saturday, 08 August 2020 at 21:18 UTC to Monday, 10 August 2020 at 00:00 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[388] type,diabetes [338] coca,cola [333] yalalag,pueblo [325] cerró,paso [325] paso,distribuidores [321] distribuidores,coca [319] pueblo,oaxaca [318] oaxaca,cerró [316] frenar,diabetes [311] cola,frenar Top Word Pairs in Tweet in G1:
[94] type,diabetes [47] covid,19 [27] high,blood [27] blood,sugar [26] blood,pressure [24] tandem,diabetes [24] diabetes,care [24] care,inc [24] inc,tndm [23] gt,gt Top Word Pairs in Tweet in G2:
[255] claro,cuál [255] cuál,problema [255] problema,urge [255] urge,resolver [255] resolver,méxico [255] méxico,pandemia [255] pandemia,diabetes [255] diabetes,proviene [255] proviene,refresco [254] guruchuirer,claro Top Word Pairs in Tweet in G3:
[222] coca,cola [220] yalalag,pueblo [220] pueblo,oaxaca [220] oaxaca,cerró [220] cerró,paso [220] paso,distribuidores [220] distribuidores,coca [220] cola,frenar [220] frenar,diabetes [202] sinembargomx,yalalag Top Word Pairs in Tweet in G4:
[192] comisaria,virtual [170] encierro,enferma [153] enferma,debilita [148] libertad,chilenos [143] debilita,sistema [115] covid,50 [115] peso,diabetes [115] diabetes,infarto [115] infarto,cáncer [114] subió,peso Top Word Pairs in Tweet in G5:
[122] miljoen,mensen [118] ik,ben [118] mensen,met [113] zijn,zo [113] zo,10 [113] 10,miljoen [113] met,chronische [113] chronische,ziekte [113] ziekte,nederland [113] nederland,varierend Top Word Pairs in Tweet in G6:
[35] fuck,jdrf [35] jdrf,fuck [29] type,diabetes [25] urgent,need [25] need,novolog [25] novolog,kissimmee [25] kissimmee,fl [25] fl,vials [25] vials,pens [25] pens,needles Top Word Pairs in Tweet in G7:
[76] yalalag,pueblo [71] pueblo,oaxaca [71] oaxaca,cerró [71] cerró,paso [71] paso,distribuidores [71] distribuidores,coca [71] coca,cola [71] cola,frenar [71] frenar,diabetes [68] diabetes,nota Top Word Pairs in Tweet in G8:
[19] obesidad,diabetes [10] recibimos,buenas [10] buenas,noticias [10] noticias,respecto [10] respecto,salud [10] salud,madre [10] madre,superó [10] superó,neumonía [10] neumonía,cuidarla [10] cuidarla,mucho Top Word Pairs in Tweet in G9:
[21] we've,thrown [21] thrown,money [21] money,#covid19 [21] #covid19,tomorrow [21] tomorrow,fraction [21] fraction,turn [21] turn,around [21] around,#diabetes [21] #diabetes,#obesity [20] fructoseno,we've Top Word Pairs in Tweet in G10:
[61] dormir,suficiente [61] suficiente,calidad [61] calidad,sueño [61] sueño,sube [61] sube,riesgo [61] riesgo,presión [61] presión,arterial [61] arterial,alta [61] alta,enfermedad [61] enfermedad,cardíaca 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 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: