The graph represents a network of 6,052 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, 06 April 2020 at 01:58 UTC.
The requested start date was Monday, 06 April 2020 at 00:01 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, 6-hour, 35-minute period from Saturday, 04 April 2020 at 04:01 UTC to Sunday, 05 April 2020 at 10:37 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 : 6052
Unique Edges : 6068
Edges With Duplicates : 428
Total Edges : 6496
Number of Edge Types : 4
Replies to : 679
Mentions : 965
MentionsInRetweet : 4265
Tweet : 587
Self-Loops : 587
Reciprocated Vertex Pair Ratio : 0.00773966578715919
Reciprocated Edge Ratio : 0.0153604468493629
Connected Components : 907
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 1309
Maximum Edges in a Connected Component : 1583
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.109437
Graph Density : 0.000156441780446727
Modularity : 0.848782
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 6,052 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, 06 April 2020 at 01:58 UTC.
The requested start date was Monday, 06 April 2020 at 00:01 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, 6-hour, 35-minute period from Saturday, 04 April 2020 at 04:01 UTC to Sunday, 05 April 2020 at 10:37 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:
[2629] hiv,aids [1309] 프랑스,국영방송에 [1309] 국영방송에,의사 [1309] 의사,두명이 [1309] 두명이,나와서 [1309] 나와서,한다는 [1309] 한다는,소리가 [1309] 소리가,코로나 [1309] 코로나,바이러스 [1309] 바이러스,신약을 Top Word Pairs in Tweet in G1:
[1309] 프랑스,국영방송에 [1309] 국영방송에,의사 [1309] 의사,두명이 [1309] 두명이,나와서 [1309] 나와서,한다는 [1309] 한다는,소리가 [1309] 소리가,코로나 [1309] 코로나,바이러스 [1309] 바이러스,신약을 [1309] 신약을,일단 Top Word Pairs in Tweet in G2:
[727] maeve,kennedy [727] kennedy,mckean [727] mckean,worked [727] worked,pepfar [727] pepfar,fauchi [727] fauchi,created [727] created,pepfar [727] pepfar,birx [727] birx,directed [727] directed,pepfar Top Word Pairs in Tweet in G3:
[208] hiv,aids [32] aids,hiv [31] covid,19 [11] #hiv,#aids [11] いじめ,さべつ [11] さべつ,ヘストスピーチ [11] ヘストスピーチ,ａｉｄｓ [11] ａｉｄｓ,hiv恨みを償わさせるまで本音話し [11] hiv恨みを償わさせるまで本音話し,心に話 [11] 心に話,東京魔物物語 Top Word Pairs in Tweet in G4:
[234] nahi,rakha [233] acha,hai [233] hai,hiv [233] hiv,aur [233] aur,aids [233] aids,nahi [232] shehzad_ind,acha [2] hiv,aids [2] shehzad_ind,hiv Top Word Pairs in Tweet in G5:
[177] co,circulation [177] circulation,#covid19 [177] #covid19,influenza [177] influenza,increase [177] increase,pressure [177] pressure,healthcare [177] healthcare,system [177] system,following [177] following,people [176] nicd_sa,co Top Word Pairs in Tweet in G6:
[92] hiv,aids [90] meet,deep [90] deep,state [90] state,deborah [90] deborah,birx [90] birx,global [90] global,aids [90] aids,coordinator [90] coordinator,appointed [90] appointed,obama Top Word Pairs in Tweet in G7:
[64] patient,records [63] public,hospitals [63] hospitals,authority [63] authority,launched [63] launched,criminal [63] criminal,investigation [63] investigation,breach [63] breach,confidential [63] confidential,patient [62] jasperward94,public Top Word Pairs in Tweet in G8:
[2] veritasever,dicky_paul_95 [2] dicky_paul_95,ianfmusgrave [2] ianfmusgrave,mcfunny [2] mcfunny,swani741 [2] swani741,awithonelison [2] awithonelison,danielbabanks [2] danielbabanks,green_cait [2] green_cait,wendyorent [2] wendyorent,grumfromnorwich [2] grumfromnorwich,emmagpaley Top Word Pairs in Tweet in G9:
[73] due,expansion [73] expansion,emergence [73] emergence,complex [72] such,hiv [72] hiv,aids [72] aids,cancer [66] nursing,due [66] complex,disease [66] disease,patterns [66] patterns,populations Top Word Pairs in Tweet in G10:
[22] hiv,aids [7] aids,hiv [6] maeve,kennedy [6] kennedy,mckean [6] worked,pepfar [6] pepfar,fauchi [6] fauchi,created [5] photowhitehouse,realdonaldtrump [5] realdonaldtrump,vertically [5] vertically,challenged Top Replied-To in Entire Graph:
Top Replied-To in G2:
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:
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: