The graph represents a network of 9,532 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, 27 October 2020 at 01:12 UTC.
The requested start date was Monday, 26 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 5-hour, 41-minute period from Tuesday, 20 October 2020 at 18:17 UTC to Sunday, 25 October 2020 at 23:58 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 : 9532
Unique Edges : 5528
Edges With Duplicates : 10011
Total Edges : 15539
Number of Edge Types : 5
Retweet : 4409
MentionsInRetweet : 5423
Replies to : 1365
Tweet : 1570
Mentions : 2772
Self-Loops : 1641
Reciprocated Vertex Pair Ratio : 0.0139561057962859
Reciprocated Edge Ratio : 0.0275280275280275
Connected Components : 1988
Single-Vertex Connected Components : 696
Maximum Vertices in a Connected Component : 1320
Maximum Edges in a Connected Component : 2870
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.183245
Graph Density : 9.91640107354701E-05
Modularity : 0.601126
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,532 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, 27 October 2020 at 01:12 UTC.
The requested start date was Monday, 26 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 5-day, 5-hour, 41-minute period from Tuesday, 20 October 2020 at 18:17 UTC to Sunday, 25 October 2020 at 23:58 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:
[3521] hiv,aids [443] unprotected,sex [433] aids,hiv [404] over,last [404] last,100 [404] 100,years [403] sense,perspective [403] perspective,help [403] help,multiple [403] multiple,pandemics Top Word Pairs in Tweet in G1:
[557] hiv,aids [55] #hiv,#aids [55] aids,hiv [54] covid,19 [34] lt,lt [17] living,hiv [12] #aids,#hiv [12] aids,epidemic [11] hiv,dan [11] dan,aids Top Word Pairs in Tweet in G2:
[388] edição,genética [388] vacinas,covid [387] chines,fez [387] fez,clonagem [387] clonagem,edição [387] genética,imunidade [387] imunidade,hiv [387] hiv,covid [387] covid,parece [387] parece,hiv Top Word Pairs in Tweet in G3:
[401] sense,perspective [401] perspective,help [401] help,multiple [401] multiple,pandemics [401] pandemics,over [401] over,last [401] last,100 [401] 100,years [401] years,influenza [401] influenza,1957 Top Word Pairs in Tweet in G4:
[68] hiv,aids [49] hiv,treatment [46] access,hiv [45] aids,related [44] increased,access [44] treatment,averted [44] averted,around [44] around,12 [44] 12,million [44] million,aids Top Word Pairs in Tweet in G5:
[284] hiv,aids [275] unprotected,sex [274] male,besties [273] aids,std [273] std,rate [273] rate,way [273] way,high [273] high,having [273] having,side [273] side,chicks Top Word Pairs in Tweet in G6:
[96] hiv,aids [26] dr,fauci [15] disease,hiv [14] childhood,cancer [14] cancer,kidney [14] kidney,disease [14] aids,opioid [14] opioid,addiction [14] addiction,chronic [14] chronic,pain Top Word Pairs in Tweet in G7:
[199] worked,40 [199] 40,person [199] person,alcohol [199] alcohol,drug [199] drug,service [199] service,qld [199] qld,health [199] health,campbell [199] campbell,newman [199] newman,voted Top Word Pairs in Tweet in G8:
[163] hiv,aids [137] unprotected,sex [136] know,std [136] std,sti [136] sti,hiv [136] aids,still [136] still,going [136] going,around [136] around,having [136] having,unprotected Top Word Pairs in Tweet in G9:
[21] icymi,coz [21] coz,sciencecohen [21] sciencecohen,troubling [21] troubling,question [21] question,adenovirus [21] adenovirus,vectored [21] vectored,#covid19 [21] #covid19,vaccines [21] vaccines,particularly [20] helenbranswell,icymi Top Word Pairs in Tweet in G10:
[122] yes,covid [122] covid,generation [122] generation,largest [122] largest,boom [122] boom,disability [122] disability,population [122] population,aids [122] aids,hiv [122] hiv,1980s [122] 1980s,ptsd 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 G4:
Top Replied-To in G5:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: