The graph represents a network of 8,871 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, 27 September 2021 at 02:00 UTC.
The requested start date was Monday, 27 September 2021 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 4-day, 16-hour, 56-minute period from Tuesday, 21 September 2021 at 19:12 UTC to Sunday, 26 September 2021 at 12:09 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 : 8871
Unique Edges : 5949
Edges With Duplicates : 11163
Total Edges : 17112
Number of Edge Types : 5
Tweet : 1588
Retweet : 4687
MentionsInRetweet : 6501
Replies to : 957
Mentions : 3379
Self-Loops : 1688
Reciprocated Vertex Pair Ratio : 0.0182136242025108
Reciprocated Edge Ratio : 0.0357756442647802
Connected Components : 1698
Single-Vertex Connected Components : 702
Maximum Vertices in a Connected Component : 1822
Maximum Edges in a Connected Component : 5137
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.174066
Graph Density : 0.000125753360486909
Modularity : 0.58636
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,871 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, 27 September 2021 at 02:00 UTC.
The requested start date was Monday, 27 September 2021 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 4-day, 16-hour, 56-minute period from Tuesday, 21 September 2021 at 19:12 UTC to Sunday, 26 September 2021 at 12:09 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:
[3722] hiv,aids [439] haitian,migrants [428] exposed,hiv [426] 1991,haitian [426] migrants,refugees [426] refugees,possibly [426] possibly,exposed [426] aids,incarcerated [426] incarcerated,guantanamo [426] guantanamo,bay Top Word Pairs in Tweet in G1:
[601] hiv,aids [74] aids,awareness [62] aids,hiv [54] awareness,day [45] gay,men [42] national,gay [36] covid,19 [34] men,hiv [32] ـ,ツ [30] #hiv,#aids Top Word Pairs in Tweet in G2:
[96] 80,people [92] people,uk [92] uk,receive [91] week,80 [90] hiv,diagnosis [84] receive,life [84] life,changing [83] hiv,aids [82] changing,hiv [80] diagnosis,re Top Word Pairs in Tweet in G3:
[429] hiv,aids [424] 1991,haitian [424] haitian,migrants [424] migrants,refugees [424] refugees,possibly [424] possibly,exposed [424] exposed,hiv [424] aids,incarcerated [424] incarcerated,guantanamo [424] guantanamo,bay Top Word Pairs in Tweet in G4:
[129] hiv,aids [76] aids,awareness [73] awareness,day [62] national,gay [61] gay,men [53] men,hiv [47] september,27 [38] hiv,testing [31] hivgov,national [28] #hiv,stigma Top Word Pairs in Tweet in G5:
[7] hiv,aids [6] rapidgator99,angelospantone [6] angelospantone,moravec_tomas [6] moravec_tomas,blaineillimatta [6] blaineillimatta,ale_battini [6] ale_battini,tomahawkvphd [6] kmtildsley,20mandan [6] greg44690,gen05761427 [6] gen05761427,ishitachhel [6] ishitachhel,jacques_barzun Top Word Pairs in Tweet in G6:
[186] largest,death [186] death,events [186] events,pandemics [186] pandemics,history [186] history,civil [186] civil,war [186] war,752k [186] 752k,years [186] years,hiv [186] hiv,aids Top Word Pairs in Tweet in G7:
[122] hiv,cure [121] another,promising [121] promising,functional [121] functional,hiv [121] cure,coming [121] coming,soon [121] soon,summarizing [121] summarizing,sources [121] sources,exciting [121] exciting,news Top Word Pairs in Tweet in G8:
[74] hiv,aids [19] structures,society [19] society,encourage [19] encourage,safety [19] safety,inclusivity [19] inclusivity,making [19] making,environment [19] environment,stigma [19] stigma,free [19] free,ensures Top Word Pairs in Tweet in G9:
[142] deshola55,drugs [142] drugs,use [142] use,immediately [142] immediately,having [142] having,unprotected [142] unprotected,sex [142] sex,emergency [142] emergency,contraceptive [142] contraceptive,pills [142] pills,such Top Word Pairs in Tweet in G10:
[127] introducing,park [127] park,jimin [127] jimin,birthday [127] birthday,project [127] project,2021 [127] 2021,#jiminwithdawn [127] #jiminwithdawn,fundraiser [127] fundraiser,children [127] children,dawn [127] dawn,join Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: