The graph represents a network of 5,742 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, 16 September 2019 at 08:49 UTC.
The requested start date was Monday, 16 September 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 4-day, 20-hour, 47-minute period from Tuesday, 10 September 2019 at 14:18 UTC to Sunday, 15 September 2019 at 11:05 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 : 5742
Unique Edges : 6545
Edges With Duplicates : 1688
Total Edges : 8233
Number of Edge Types : 3
Mentions : 6645
Replies to : 506
Tweet : 1082
Self-Loops : 1082
Reciprocated Vertex Pair Ratio : 0.0138356392732122
Reciprocated Edge Ratio : 0.0272936534034857
Connected Components : 1072
Single-Vertex Connected Components : 487
Maximum Vertices in a Connected Component : 890
Maximum Edges in a Connected Component : 2279
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.70437
Graph Density : 0.000184499706990682
Modularity : 0.754155
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2097] hiv,aids [574] da,falta [573] voltamos,tempo [573] tempo,em [573] em,doenças [573] doenças,sexualmente [573] sexualmente,transmissíveis [573] transmissíveis,eram [573] eram,associados [573] associados,à Top Word Pairs in Tweet in G1:
[565] voltamos,tempo [565] tempo,em [565] em,doenças [565] doenças,sexualmente [565] sexualmente,transmissíveis [565] transmissíveis,eram [565] eram,associados [565] associados,à [565] à,lgbts [565] lgbts,epidemia Top Word Pairs in Tweet in G2:
[334] hiv,aids [26] aids,hiv [26] aids,experts [25] experts,warn [24] epidemics,aids [24] urban,hiv [24] hiv,epidemics [22] gay,'chemsex' [20] #hiv,#aids [19] fuelling,urban Top Word Pairs in Tweet in G3:
[374] hiv,aids [366] school,kids [366] kids,class [366] class,asked [366] asked,write [366] write,3 [366] 3,diseases [366] diseases,one [366] one,guy [366] guy,wrote Top Word Pairs in Tweet in G4:
[197] song,sang [197] sang,italian [197] italian,man [197] man,80s [197] 80s,named [197] named,roberto [197] roberto,fell [197] fell,inlove [197] inlove,somali [197] somali,woman Top Word Pairs in Tweet in G5:
[190] needs,help [189] qualified,nurse [189] nurse,mom [189] mom,opened [189] opened,runs [189] runs,health [189] health,care [189] care,center [189] center,bloem [189] bloem,needs Top Word Pairs in Tweet in G6:
[38] hiv,aids [34] people,living [22] act,against [22] against,aids [21] s,#stophivtogether [20] living,hiv [20] hello,s [20] #stophivtogether,initiative [20] initiative,formerly [20] formerly,known Top Word Pairs in Tweet in G7:
[39] hiv,aids [19] #hiv,#aids [15] red,red [15] people,living [14] red,work [14] work,1 [14] 1,buy [14] buy,red [14] red,products [14] products,2 Top Word Pairs in Tweet in G8:
[69] hiv,aids [55] não,é [54] aids,não [53] é,exclusividade [51] carlazambelli17,hiv [51] exclusividade,homossexuais [50] _nelsoncezar,carlazambelli17 [50] homossexuais,burra [49] burra,tem [49] tem,muito Top Word Pairs in Tweet in G9:
[21] policy,survey [21] survey,sent [21] major,presidential [21] presidential,candidates [21] candidates,here's [18] hiv,aids [12] end,aids [12] #hiv,policy [12] watch,sir [12] sir,elton Top Word Pairs in Tweet in G10:
[75] hiv,aids [47] maitaai,math___world [36] cancer,healed [35] math___world,hiv [35] aids,stunned [35] stunned,core [35] core,see [35] see,worlds [35] worlds,fatal [35] fatal,disease Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: