The graph represents a network of 5,569 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 Thursday, 21 November 2019 at 18:45 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, 19-hour, 21-minute period from Sunday, 17 November 2019 at 05:35 UTC to Tuesday, 19 November 2019 at 00:57 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 : 5569
Unique Edges : 5815
Edges With Duplicates : 521
Total Edges : 6336
Number of Edge Types : 3
Mentions : 5297
Replies to : 301
Tweet : 738
Self-Loops : 738
Reciprocated Vertex Pair Ratio : 0.0151713804083162
Reciprocated Edge Ratio : 0.0298892988929889
Connected Components : 804
Single-Vertex Connected Components : 355
Maximum Vertices in a Connected Component : 2066
Maximum Edges in a Connected Component : 2088
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.095576
Graph Density : 0.000174792519344565
Modularity : 0.826551
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,569 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 Thursday, 21 November 2019 at 18:45 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, 19-hour, 21-minute period from Sunday, 17 November 2019 at 05:35 UTC to Tuesday, 19 November 2019 at 00:57 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 : HIV AIDS
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:
[2334] hiv,aids [1202] doesn,t [1201] s,wrong [1200] stop,fucking [1200] fucking,multiple [1200] multiple,women [1200] women,raw [1200] raw,bro [1200] bro,s [1200] wrong,doesn Top Word Pairs in Tweet in G1:
[1197] stop,fucking [1197] fucking,multiple [1197] multiple,women [1197] women,raw [1197] raw,bro [1197] bro,s [1197] s,wrong [1197] wrong,doesn [1197] doesn,t [1197] t,make Top Word Pairs in Tweet in G2:
[802] hiv,aids [801] sífilis,hiv [801] aids,e [801] e,hepatites [801] hepatites,estão [801] estão,entre [801] entre,doenças [801] doenças,silenciosas [801] silenciosas,com [801] com,índices Top Word Pairs in Tweet in G3:
[229] hiv,aids [28] #hiv,#aids [20] aids,hiv [15] people,hiv [13] world,aids [13] aids,day [10] aids,awareness [10] #aids,#hiv [9] aids,di [9] living,hiv Top Word Pairs in Tweet in G4:
[288] pake,kondom [190] hiv,aids [177] 840,warga [176] aceh,terjangkit [144] kalo,mau [144] mau,frisek [144] frisek,yang [144] yang,aman [144] aman,lah [144] lah,pake Top Word Pairs in Tweet in G5:
[255] hiv,aids [225] go,hospital [225] hospital,test [225] test,hiv [225] aids,virus [225] virus,everyone [225] everyone,including [225] including,doctor [225] doctor,telling [225] telling,positive Top Word Pairs in Tweet in G6:
[131] re,herd [131] herd,immunity [131] immunity,literally [131] literally,hundreds [131] hundreds,thousands [131] thousands,ppl [131] ppl,children [131] children,aids [131] aids,hiv [131] hiv,tb Top Word Pairs in Tweet in G7:
[83] owns,h [83] h,v [83] v,prevention [83] prevention,drugs [83] drugs,taxpayers [83] taxpayers,u [83] u,s [83] s,unexpected [83] unexpected,lawsuit [83] lawsuit,federal Top Word Pairs in Tweet in G8:
[21] hiv,aids [19] antiretroviral,therapy [19] therapy,make [19] make,hiv [12] #hiv,#aids [11] communities,benefit [11] benefit,#cervicalcancer [11] #cervicalcancer,services [11] services,integrated [11] integrated,those Top Word Pairs in Tweet in G9:
[12] hiv,aids [12] poz,100 [8] #hiv,#aids [8] aging,#hiv [8] 10th,annual [7] long,term [7] term,survivors [7] world,aids [7] aids,day [6] making,difference Top Word Pairs in Tweet in G10:
[27] hiv,aids [25] world,aids [25] aids,day [13] part,activities [13] activities,celebrate [13] celebrate,world [13] day,aidscommission [13] aidscommission,partners [13] partners,organised [13] organised,philly Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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