The graph represents a network of 5,800 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:22 UTC.
The tweets in the network were tweeted over the 2311-day, 5-hour, 44-minute period from Saturday, 22 October 2016 at 19:15 UTC to Monday, 20 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5800
Unique Edges : 2781
Edges With Duplicates : 10030
Total Edges : 12811
Number of Edge Types : 9
Retweet : 3665
MentionsInRetweet : 4398
Replies to : 1017
MentionsInReplyTo : 2172
Tweet : 833
Quote : 122
Mentions : 417
MentionsInQuote : 103
MentionsInQuoteReply : 84
Self-Loops : 1240
Reciprocated Vertex Pair Ratio : 0.0245811805229372
Reciprocated Edge Ratio : 0.0479828850855746
Connected Components : 863
Single-Vertex Connected Components : 327
Maximum Vertices in a Connected Component : 2829
Maximum Edges in a Connected Component : 6739
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.739683
Graph Density : 0.000194563866540604
Modularity : 0.516802
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,800 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:22 UTC.
The tweets in the network were tweeted over the 2311-day, 5-hour, 44-minute period from Saturday, 22 October 2016 at 19:15 UTC to Monday, 20 February 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1980] hiv,aids [536] toxic,drug [524] aids,one [523] recommended,toxic [523] imaginable,hiv [523] fauci,recommended [523] drug,imaginable [522] one,person [521] person,interviewed [521] hiroshima',fauci Top Word Pairs in Tweet in G1:
[534] hiv,aids [519] drug,imaginable [519] toxic,drug [519] fauci,recommended [519] recommended,toxic [519] imaginable,hiv [518] aids,one [518] person,interviewed [518] hiroshima',fauci [518] one,person Top Word Pairs in Tweet in G2:
[408] jerusalem,riding [408] jesus,entered [408] entered,bomet [408] unlike,jesus [408] bomet,pomp [408] owuor,entered [408] pomp,opulence [408] entered,jerusalem [407] opulence,correct [406] riding,ass Top Word Pairs in Tweet in G3:
[134] hiv,aids [59] end,aids [34] aids,children [31] health,financing [30] 20,years [30] living,hiv [28] aids,related [28] sustaining,action [27] financing,sustaining [26] high,level Top Word Pairs in Tweet in G4:
[221] hiv,aids [110] aids,hiv [43] hiv,infection [39] hiv,virus [36] leads,systemic [36] controlled,early [36] called,aids [36] #代孕,aids [36] immune,insufficiency [36] systemic,immune Top Word Pairs in Tweet in G5:
[232] children,born [224] mother,infant [224] zero,children [224] country,world [224] transmission,#hiv [224] eliminate,mother [224] #hiv,zero [224] first,country [224] infant,transmission [224] world,eliminate Top Word Pairs in Tweet in G6:
[49] hiv,aids [37] along,hiv [37] covid,along [37] lymphopenia,hallmark [37] hallmark,covid [35] enemyinastate,lymphopenia [14] long,covid [13] compared,hiv [13] hiv,past [13] note,airborne Top Word Pairs in Tweet in G7:
[135] reason,come [135] come,bioweapon [134] bioweapon,#covidvaccine [133] drjudyamikovits,reason [133] #covidvaccine,# [24] wins,event [24] god,wins [23] #truth,#faith [23] slide,deck [23] promised,find Top Word Pairs in Tweet in G8:
[109] use,camisinha [94] proteção,use [84] sífilis,outras [84] hiv,sífilis [81] camisinha,proteja [81] proteja,hiv [75] ter,proteção [75] tem,ter [75] amor,tem [73] voltou,amor Top Word Pairs in Tweet in G9:
[69] hiv,aids [59] public,health [59] matter,personal [59] personal,opinion [59] religious,government [59] opinion,according [59] health,matter [59] government,problem [59] problem,public [58] laureezyf,religious Top Word Pairs in Tweet in G10:
[70] hiv,aids [65] south,africa [62] rath,convinced [62] many,africans [62] called,matthias [62] height,hiv [62] charlatan,called [62] aids,pandemic [62] convinced,many [62] pandemic,south 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 G6:
Top Replied-To in G7:
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:
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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: