The graph represents a network of 8,031 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, 02 May 2022 at 02:23 UTC.
The requested start date was Monday, 02 May 2022 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 3-day, 19-hour, 45-minute period from Wednesday, 27 April 2022 at 16:24 UTC to Sunday, 01 May 2022 at 12:10 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 : 8031
Unique Edges : 3480
Edges With Duplicates : 11724
Total Edges : 15204
Number of Edge Types : 5
Tweet : 1215
Retweet : 5423
MentionsInRetweet : 6072
Replies to : 854
Mentions : 1640
Self-Loops : 1288
Reciprocated Vertex Pair Ratio : 0.0109026369168357
Reciprocated Edge Ratio : 0.0215701028342112
Connected Components : 1213
Single-Vertex Connected Components : 496
Maximum Vertices in a Connected Component : 3881
Maximum Edges in a Connected Component : 8809
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.024114
Graph Density : 0.000123649128617888
Modularity : 0.520163
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,031 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, 02 May 2022 at 02:23 UTC.
The requested start date was Monday, 02 May 2022 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 3-day, 19-hour, 45-minute period from Wednesday, 27 April 2022 at 16:24 UTC to Sunday, 01 May 2022 at 12:10 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:
[2361] hiv,aids [1393] num,dia [1393] dia,chorume [1393] chorume,bom [1393] bom,gente [1393] gente,relembrar [1393] relembrar,indetectável [1393] indetectável,intransmissível [1393] intransmissível,não [1393] não,dst Top Word Pairs in Tweet in G1:
[1392] num,dia [1392] dia,chorume [1392] chorume,bom [1392] bom,gente [1392] gente,relembrar [1392] relembrar,indetectável [1392] indetectável,intransmissível [1392] intransmissível,não [1392] não,dst [1392] dst,prep Top Word Pairs in Tweet in G2:
[536] kid,during [536] during,early [536] early,times [536] times,hiv [536] hiv,hearing [536] hearing,smart [536] smart,older [536] older,folks [536] folks,medicine [536] medicine,whole Top Word Pairs in Tweet in G3:
[468] hiv,aids [91] kemenkumham,jateng [52] offer,online [52] online,class [50] class,homework [50] homework,assignment [50] assignment,exam [50] exam,expert [50] expert,help [47] jateng,gelar Top Word Pairs in Tweet in G4:
[450] hiv,aids [401] aids,pandemic [400] days,hiv [399] m_scribe,early [399] early,ish [399] ish,days [398] pandemic,people [398] people,ask [398] ask,much [398] much,longer Top Word Pairs in Tweet in G5:
[270] long,term [265] know,hiv [265] hiv,infection [264] already,know [264] infection,turned [264] turned,long [264] term,development [264] development,aids [264] aids,premature [264] premature,death Top Word Pairs in Tweet in G6:
[61] aids,pandemic [60] resurgence,country's [60] country's,aids [59] war,#ukraine [59] #ukraine,risks [59] risks,resurgence [59] pandemic,working [59] working,partners [59] partners,provide [59] provide,medical Top Word Pairs in Tweet in G7:
[129] #hiv,#aids [97] hiv,aids [39] #aids,#性感染症 [39] #性感染症,#hivboshi [28] #aids,#hiv [22] people,living [22] aids,walk [20] hiv,エイズ [19] living,hiv [17] returning,central Top Word Pairs in Tweet in G8:
[221] chemist,lady [221] lady,recently [221] recently,recounted [221] recounted,encountered [221] encountered,single [221] single,positive [221] positive,hiv [221] hiv,test [221] test,entire [221] entire,career Top Word Pairs in Tweet in G9:
[159] watch,former [159] former,#projectveritas [159] #projectveritas,whistleblower [159] whistleblower,news [159] news,anchor [159] anchor,april [159] april,moss [159] moss,interviews [159] interviews,dr [159] dr,robert Top Word Pairs in Tweet in G10:
[117] minister,ngamije [117] ngamije,worrying [117] worrying,trend [117] trend,work [117] work,towards [117] towards,uprooting [117] uprooting,youth [117] youth,today [117] today,more [117] more,scared 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:
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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: