The graph represents a network of 6,497 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 Wednesday, 20 November 2019 at 23:03 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 1-day, 2-hour, 45-minute period from Sunday, 17 November 2019 at 10:48 UTC to Monday, 18 November 2019 at 13:34 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 : 6497
Unique Edges : 6984
Edges With Duplicates : 1085
Total Edges : 8069
Number of Edge Types : 3
Tweet : 1795
Mentions : 5566
Replies to : 708
Self-Loops : 1795
Reciprocated Vertex Pair Ratio : 0.0210398191618849
Reciprocated Edge Ratio : 0.0412125340599455
Connected Components : 1937
Single-Vertex Connected Components : 877
Maximum Vertices in a Connected Component : 964
Maximum Edges in a Connected Component : 1762
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.952237
Graph Density : 0.000139132043512315
Modularity : 0.793008
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,497 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 Wednesday, 20 November 2019 at 23:03 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 1-day, 2-hour, 45-minute period from Sunday, 17 November 2019 at 10:48 UTC to Monday, 18 November 2019 at 13:34 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[231] type,2 [225] fit,work [171] 2,diabetes [148] year,old [143] 65,year [142] old,man [138] man,found [138] found,fit [138] work,collapsed [138] collapsed,died Top Word Pairs in Tweet in G1:
[72] type,2 [59] 2,diabetes [39] cure,diabetes [30] filipina,high [30] high,school [30] school,student [30] student,discovered [30] discovered,aratiles [30] aratiles,fruit [30] diabetes,wins Top Word Pairs in Tweet in G2:
[61] blood,sugar [60] check,blood [31] fruit,smoothies [31] drink,fruit [30] think,fruit [30] smoothies,healthy [30] healthy,1 [30] 1,check [30] sugar,2 [30] 2,drink Top Word Pairs in Tweet in G3:
[10] type,1 [10] 1,diabetes [7] diabetes,management [7] #type2diabetes,metabolic [7] metabolic,disorder [7] disorder,results [7] results,#hyperglycemia [7] #hyperglycemia,high [7] high,blood [7] blood,glucose Top Word Pairs in Tweet in G4:
[142] fit,work [139] 65,year [138] year,old [138] old,man [138] man,found [138] found,fit [138] work,collapsed [138] collapsed,died [138] died,llanelli [138] llanelli,jobcentre Top Word Pairs in Tweet in G5:
[22] #diabetes,#diabetesp [18] carrera,caminata [11] asociación,diabetes [11] diabetes,madrid [11] caminata,popular [10] 8ª,carrera [10] popular,diabetes [9] madrid,#diabetes [8] #diabetesp,#mueveteporladiabetes [7] diabetes,#diabetes Top Word Pairs in Tweet in G6:
[123] 30,years [123] years,old [123] old,malay [123] malay,lady [123] lady,married [123] married,nullipara [123] nullipara,underlying [123] underlying,diabetes [123] diabetes,melittus [123] melittus,working Top Word Pairs in Tweet in G7:
[98] adult,population [98] population,diabetes [98] diabetes,pak [98] pak,20 [98] 20,17 [98] 17,ksa [98] ksa,16 [98] 16,mex [98] mex,14 [98] 14,rsa Top Word Pairs in Tweet in G8:
[80] term,insurance [80] insurance,plan [79] heard,term [79] plan,covers [79] covers,even [79] even,diabetes [79] diabetes,introducing [79] introducing,icici [79] icici,pru [79] pru,precious Top Word Pairs in Tweet in G9:
[38] presidente,lenin [38] lenin,moreno [37] nuevo,proyecto [36] moreno,enviará [36] enviará,próximas [36] próximas,horas [36] horas,nuevo [36] proyecto,basado [36] basado,consensos [36] consensos,defender Top Word Pairs in Tweet in G10:
[70] berat,badan [70] badan,dan [69] malaysia,negara [69] negara,'tergemuk' [69] 'tergemuk',di [69] di,asia [69] asia,kerana [69] kerana,33 [69] 33,rakyatnya [69] rakyatnya,berlebihan Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: