The graph represents a network of 5,719 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 Tuesday, 03 March 2020 at 21:03 UTC.
The requested start date was Tuesday, 03 March 2020 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, 14-hour, 25-minute period from Sunday, 01 March 2020 at 10:35 UTC to Tuesday, 03 March 2020 at 01:00 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 : 5719
Unique Edges : 5843
Edges With Duplicates : 478
Total Edges : 6321
Number of Edge Types : 4
MentionsInRetweet : 4494
Replies to : 384
Mentions : 883
Tweet : 560
Self-Loops : 560
Reciprocated Vertex Pair Ratio : 0.00599672905687807
Reciprocated Edge Ratio : 0.0119219653179191
Connected Components : 671
Single-Vertex Connected Components : 262
Maximum Vertices in a Connected Component : 2192
Maximum Edges in a Connected Component : 2405
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.295499
Graph Density : 0.000169290206164035
Modularity : 0.813855
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 5,719 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 Tuesday, 03 March 2020 at 21:03 UTC.
The requested start date was Tuesday, 03 March 2020 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, 14-hour, 25-minute period from Sunday, 01 March 2020 at 10:35 UTC to Tuesday, 03 March 2020 at 01:00 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2100] hiv,aids [1757] debbie,birx [1748] dr,debbie [1741] trump,coordinator [1741] coordinator,coronavirus [1741] coronavirus,dr [1737] obama,ebola [1737] ebola,coordinator [1737] coordinator,ron [1737] ron,klain Top Word Pairs in Tweet in G1:
[1733] trump,coordinator [1733] coordinator,coronavirus [1733] coronavirus,dr [1733] dr,debbie [1733] debbie,birx [1732] obama,ebola [1732] ebola,coordinator [1732] coordinator,ron [1732] ron,klain [1732] klain,zero Top Word Pairs in Tweet in G2:
[651] hiv,aids [643] aids,1980s [643] 1980s,disagree [643] disagree,very [643] very,bright [643] bright,very [643] very,honest [643] honest,senator [642] soledadobrien,hiv [4] during,hiv Top Word Pairs in Tweet in G3:
[196] hiv,aids [16] aids,hiv [16] #hiv,#aids [12] いじめ,さべつ [12] さべつ,ヘストスピーチ [12] ヘストスピーチ,ａｉｄｓ [12] ａｉｄｓ,hiv恨みを償わさせるまで本音話し [12] hiv恨みを償わさせるまで本音話し,心に話 [12] 心に話,東京魔物物語 [12] 東京魔物物語,感染症天国 Top Word Pairs in Tweet in G4:
[167] medicina,uma [167] uma,área [167] área,muito [167] muito,legal [167] legal,pra [167] pra,quem [167] quem,observa [167] observa,longe [167] longe,mas [167] mas,pra Top Word Pairs in Tweet in G5:
[3] find,cure [3] ortainedevian,texasdeplorabl4 [3] texasdeplorabl4,hb04920973 [3] hb04920973,taniaburgesstx [3] taniaburgesstx,fashionabanon [3] fashionabanon,pweepingangel [3] pweepingangel,cummings2020 [3] cummings2020,kalanuraven [2] hiv,aids [2] 45harisonharold,robin_ked Top Word Pairs in Tweet in G6:
[105] aids,related [105] related,illnesses [105] illnesses,remain [105] remain,leading [105] leading,cause [105] cause,death [105] death,women [105] women,reproductive [105] reproductive,age [105] age,stigma Top Word Pairs in Tweet in G7:
[33] hiv,aids [25] public,health [25] doesn,believe [25] believe,science [24] trump,coronavirus [24] coronavirus,czar [24] czar,vp [24] vp,disastrous [24] disastrous,public [24] health,record Top Word Pairs in Tweet in G8:
[23] aids,related [23] end,aids [22] aids,end [20] ending,aids [20] end,hiv [20] hiv,infections [20] infections,end [20] related,deaths [20] deaths,#zerodiscrimination [20] #zerodiscrimination,million Top Word Pairs in Tweet in G9:
[78] hiv,aids [30] living,hiv [29] 37,million [29] million,people [29] people,world [29] world,living [29] aids,million [29] million,transmissions [29] transmissions,2018 [29] 2018,year Top Word Pairs in Tweet in G10:
[45] bachelor,psychology [45] psychology,degree [45] busy,hpcsa [45] hpcsa,registrations [45] registrations,looking [42] hiv,aids [31] looking,hiv [30] degree,currently [30] currently,busy [30] #keajobseeker,aunt Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: