The graph represents a network of 7,010 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, 25 May 2020 at 06:05 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 17-hour, 14-minute period from Sunday, 24 May 2020 at 06:46 UTC to Monday, 25 May 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 : 7010
Unique Edges : 4118
Edges With Duplicates : 5868
Total Edges : 9986
Number of Edge Types : 5
Replies to : 1235
Retweet : 2687
MentionsInRetweet : 3228
Tweet : 1422
Mentions : 1414
Self-Loops : 1464
Reciprocated Vertex Pair Ratio : 0.0122994652406417
Reciprocated Edge Ratio : 0.0243000528262018
Connected Components : 2081
Single-Vertex Connected Components : 821
Maximum Vertices in a Connected Component : 637
Maximum Edges in a Connected Component : 1277
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 2.796922
Graph Density : 0.000115584018835371
Modularity : 0.615572
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 7,010 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, 25 May 2020 at 06:05 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 17-hour, 14-minute period from Sunday, 24 May 2020 at 06:46 UTC to Monday, 25 May 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 G2:
[48] pressão,alta [27] alta,diabetes [26] diabetes,marcapasso [16] marcapasso,câncer [16] câncer,pele [11] pele,idosa [11] idosa,94 [11] 94,anos [10] anos,vence [10] vence,covid Top Word Pairs in Tweet in G3:
[639] type,diabetes [639] twitter,today [639] today,live [639] live,#diabetes [639] #diabetes,struggling [639] struggling,everything [639] everything,worried [639] worried,re [639] parthaskar,twitter [639] re,predictions Top Word Pairs in Tweet in G4:
[19] diabetes,hypertension [10] health,minister [10] minister,mentioned [10] mentioned,70 [10] 70,people [10] people,died [10] died,covid19 [10] covid19,nigeria [9] nigeria,diabetes [9] aproko_doctor,health Top Word Pairs in Tweet in G5:
[101] diabetes,associated [94] associated,51 [94] 51,increased [94] increased,risk [94] risk,dementia [94] dementia,exercise [94] exercise,associated [94] associated,dose [94] dose,dependent [93] foundmyfitness,diabetes Top Word Pairs in Tweet in G6:
[100] 第79回,1人じゃない [100] 1人じゃない,離島での合宿に同行した時のこと [100] 離島での合宿に同行した時のこと,勉強がメインだから [100] 勉強がメインだから,病気やケガは少ないだろうと思っていたが [100] 病気やケガは少ないだろうと思っていたが,甘かった [100] 甘かった,離島ならではの大変さがある [100] 離島ならではの大変さがある,そんななか [100] そんななか,糖尿病の子が体調をくずし [100] 糖尿病の子が体調をくずし,命を守る協力が始まります [99] rikukamehameha,第79回 Top Word Pairs in Tweet in G7:
[95] kboceksteele,maxbaker_15 [94] year,old [94] maxbaker_15,someone [94] someone,contract [94] contract,virus [94] virus,go [94] go,home [94] home,weeks [94] weeks,48 [93] 48,year Top Word Pairs in Tweet in G8:
[64] millones,habitantes [56] bel_mx7,carlosloret [55] habitantes,méxico [55] chile,19 [55] 19,millones [55] méxico,chile [55] carlosloret,#lordmontajes [55] #lordmontajes,comparando [55] comparando,méxico [55] méxico,127 Top Word Pairs in Tweet in G9:
[17] 28,mayo [16] probióticos,prebióticos [16] prebióticos,asociacion [14] asociacion,mexicana [14] mexicana,diabetes [13] diabetes,amdjalisco [12] amdjalisco,fmdiabetes [12] noinvisibles,probióticos [12] mayo,17 [12] 17,00 Top Word Pairs in Tweet in G10:
[12] heart,disease [12] piersmorgan,borisjohnson [12] diabetes,heart [12] prob1384,piersmorgan [12] years,taking [12] taking,hydroxychloroquine [12] hydroxychloroquine,ra [11] ra,63 [10] 63,diabetes [10] diabetes,underlying Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: