The graph represents a network of 5,754 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 June 2019 at 08:55 UTC.
The requested start date was Monday, 24 June 2019 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 2-day, 19-hour, 48-minute period from Tuesday, 18 June 2019 at 16:51 UTC to Friday, 21 June 2019 at 12:39 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 : 5754
Unique Edges : 6566
Edges With Duplicates : 941
Total Edges : 7507
Number of Edge Types : 3
Tweet : 1307
Mentions : 5706
Replies to : 494
Self-Loops : 1307
Reciprocated Vertex Pair Ratio : 0.017692974848222
Reciprocated Edge Ratio : 0.0347707516618374
Connected Components : 1311
Single-Vertex Connected Components : 686
Maximum Vertices in a Connected Component : 1739
Maximum Edges in a Connected Component : 3067
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.479869
Graph Density : 0.000177235965989787
Modularity : 0.794223
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2464] hiv,aids [692] aids,epidemic [653] check,out [622] unsung,heroes [620] meet,unsung [620] fight,hiv [620] epidemic,5bfilm [620] 5bfilm,out [620] out,now [619] #5bfilm,jnjcares Top Word Pairs in Tweet in G1:
[425] hiv,aids [52] infected,hiv [49] #hiv,#aids [47] 595,children [47] children,pakistan [47] pakistan,infected [47] hiv,syringes [47] syringes,being [47] being,reused [32] aids,hiv Top Word Pairs in Tweet in G2:
[619] hiv,aids [617] aids,epidemic [617] epidemic,5bfilm [617] 5bfilm,out [617] out,now [616] #5bfilm,jnjcares [609] meet,unsung [609] unsung,heroes [608] heroes,worked [608] worked,fight Top Word Pairs in Tweet in G3:
[224] california,liberal [224] liberal,cesspool [224] cesspool,dr [224] dr,drew [224] drew,warns [224] warns,seen [224] seen,conditions [224] conditions,humans [224] humans,medieval [224] medieval,times Top Word Pairs in Tweet in G4:
[200] 2001,portugal [200] portugal,decriminalised [200] decriminalised,drug [200] drug,possession [200] possession,introduced [200] introduced,health [200] health,care [200] care,approach [200] approach,dealing [200] dealing,addiction Top Word Pairs in Tweet in G5:
[43] hiv,aids [19] eltonofficial,leliomarmora [19] leliomarmora,unitaid [19] unitaid,peterasands [19] peterasands,globalfund [18] today's,lemondefr [18] lemondefr,eltonofficial [18] globalfund,reflect [18] reflect,celebrate [17] ejaf,today's Top Word Pairs in Tweet in G6:
[23] hiv,aids [10] researchers,currently [9] new,hiv [9] learn,more [9] know,researchers [9] currently,developing [9] developing,testing [9] testing,therapeutic [9] therapeutic,vaccines [9] vaccines,treat Top Word Pairs in Tweet in G7:
[2] psychdr100,causing [2] causing,biggest [2] biggest,outbreak [2] outbreak,aids [2] aids,hiv [2] hiv,80 [2] 80,s Top Word Pairs in Tweet in G8:
[73] sani,aliyu [68] dr,sani [65] dg,naca [61] aliyu,dg [60] naca,explains [60] explains,naca [60] naca,working [60] working,closely [60] closely,vulnerable [60] vulnerable,people Top Word Pairs in Tweet in G9:
[32] hiv,aids [21] 'misfire',social [21] social,media [21] media,really [21] really,hurt [21] hurt,anyone [21] anyone,idea [21] idea,generations [21] generations,suffering [21] suffering,stunting Top Word Pairs in Tweet in G10:
[20] hiv,aids [11] want,details [11] details,hhs [11] hhs,reviews [11] reviews,possible [11] possible,patent [10] lawmakers,want [10] patent,infringement [9] eyes,gilead [8] gilead,lawmakers Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G8:
Top Replied-To in G9:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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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: