The graph represents a network of 5,417 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, 11 February 2019 at 10:12 UTC.
The requested start date was Monday, 11 February 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 2-day, 0-hour, 7-minute period from Friday, 08 February 2019 at 20:03 UTC to Sunday, 10 February 2019 at 20:11 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 : 5417
Unique Edges : 7848
Edges With Duplicates : 458
Total Edges : 8306
Number of Edge Types : 3
Tweet : 742
Mentions : 7307
Replies to : 257
Self-Loops : 742
Reciprocated Vertex Pair Ratio : 0.00597014925373134
Reciprocated Edge Ratio : 0.0118694362017804
Connected Components : 746
Single-Vertex Connected Components : 340
Maximum Vertices in a Connected Component : 2123
Maximum Edges in a Connected Component : 4868
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.412766
Graph Density : 0.000252705730550657
Modularity : 0.75495
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2914] hiv,aids [880] sa,hiv [879] digos,city [877] ang,digos [877] city,sa [873] na,ang [872] top,1 [872] 1,na [871] guys,top [871] dili,mo Top Word Pairs in Tweet in G1:
[873] hiv,aids [871] 1,na [871] na,ang [871] digos,city [871] sa,hiv [870] guys,top [870] top,1 [870] ang,digos [870] city,sa [870] dili,mo Top Word Pairs in Tweet in G2:
[758] clintonfdn,2smalltofail [757] hi,candace [757] candace,proudly [757] proudly,volunteer [757] volunteer,time [757] time,always [757] always,support [757] support,work [757] work,clintonfdn [756] chelseaclinton,hi Top Word Pairs in Tweet in G3:
[276] hiv,aids [271] re,trump [271] trump,s [271] s,hiv [271] aids,initiative [270] parkermolloy,re [136] read,context [135] read,thread [135] thread,read [135] context,trump's Top Word Pairs in Tweet in G4:
[275] hiv,aids [42] trump,administration [42] aids,advisory [41] advisory,council [40] administration,fires [40] fires,members [40] members,hiv [19] aids,hiv [10] new,hiv [10] against,hiv Top Word Pairs in Tweet in G5:
[202] china,warns [202] warns,hiv [202] hiv,'traces' [202] 'traces',blood [202] blood,products [202] products,given [202] given,boost [202] boost,immunity [202] immunity,serious [202] serious,first Top Word Pairs in Tweet in G6:
[95] hiv,aids [34] black,hiv [34] aids,awareness [33] awareness,day [31] national,black [16] hiv,epidemic [14] defeat,aids [14] aids,america [12] end,hiv [12] ending,hiv Top Word Pairs in Tweet in G7:
[69] new,hiv [69] hiv,infections [36] globally,new [36] infections,declined [36] declined,18 [36] 18,2010 [36] 2010,far [36] far,less [36] less,75 [36] 75,reduction Top Word Pairs in Tweet in G8:
[120] first,lady [111] organization,african [103] margaret,kenyatta [97] lady,margaret [88] statehousekenya,first [81] unanimously,elected [81] elected,vice [75] first,ladies [69] vice,chairperson [67] chairperson,organization Top Word Pairs in Tweet in G9:
[120] chance,win [120] win,fight [120] fight,against [120] against,hiv [120] hiv,aids [120] aids,join [120] join,stepupthefight [120] stepupthefight,onecampaign [119] drill,chance [119] onecampaign,today Top Word Pairs in Tweet in G10:
[64] hiv,aids [43] trump,s [37] s,hiv [37] hiv,strategy [37] strategy,faces [37] faces,potential [37] potential,minefield [37] minefield,politico [37] politico,s [37] s,stolen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: