The graph represents a network of 1,207 Twitter users whose tweets in the requested range contained "pozmagazine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 17 November 2020 at 14:05 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 74-day, 6-hour, 18-minute period from Tuesday, 01 September 2020 at 00:02 UTC to Saturday, 14 November 2020 at 06:21 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 : 1207
Unique Edges : 1603
Edges With Duplicates : 6892
Total Edges : 8495
Number of Edge Types : 5
Mentions : 5037
MentionsInRetweet : 1601
Retweet : 977
Tweet : 719
Replies to : 161
Self-Loops : 733
Reciprocated Vertex Pair Ratio : 0.0784151877837392
Reciprocated Edge Ratio : 0.145426712590892
Connected Components : 38
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1158
Maximum Edges in a Connected Component : 8438
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.961805
Graph Density : 0.00179508423087545
Modularity : 0.192705
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,207 Twitter users whose tweets in the requested range contained "pozmagazine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 17 November 2020 at 14:05 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 74-day, 6-hour, 18-minute period from Tuesday, 01 September 2020 at 00:02 UTC to Saturday, 14 November 2020 at 06:21 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 : pozmagazine
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:
[1451] #rt,pozmagazine [441] covid,19 [346] poz,pozmagazine [246] #coronavirus,#covid19 [133] hiv,aids [94] pozmagazine,#askpoz [92] #prep,#prevention [89] #hiv,#plhiv [89] man,cured [88] #plhiv,#sciencenotstigma Top Word Pairs in Tweet in G1:
[1399] #rt,pozmagazine [168] covid,19 [111] #coronavirus,#covid19 [91] pozmagazine,#askpoz [62] œðÿ,œðÿ [56] poz,pozmagazine [55] pozmagazine,#pozbasics [49] hiv,aids [48] pozmagazine,poz [41] #prep,#prevention Top Word Pairs in Tweet in G2:
[225] covid,19 [211] poz,pozmagazine [131] #coronavirus,#covid19 [84] #hiv,#plhiv [84] #plhiv,#sciencenotstigma [77] #sciencenotstigma,pozmagazine [67] hiv,aids [48] #prep,#prevention [45] trentonstraube,#advocacy [41] poz,poll Top Word Pairs in Tweet in G3:
[35] poz,pozmagazine [14] san,francisco [13] long,term [12] call,participate [12] participate,science [12] science,hiv [12] hiv,cure [12] cure,those [12] those,living [12] living,california Top Word Pairs in Tweet in G4:
[17] funding,supports [17] awarefndngroup,#rt [17] #rt,pozmagazine [14] people,hiv [12] covid,19 [11] housing,saves [11] saves,lives [11] sync,2020 [11] black,people [11] people,america Top Word Pairs in Tweet in G5:
[34] hiv,status [17] awarefndngroup,#rt [17] #rt,pozmagazine [17] knowing,hiv [17] status,taking [17] taking,bold [17] bold,step [17] step,accepting [17] accepting,hiv [17] status,being Top Word Pairs in Tweet in G6:
[67] timothy,more [67] more,1st [67] 1st,man [67] man,cured [67] cured,#hiv [67] #hiv,gracious [67] gracious,participant [67] participant,aids [67] aids,research [66] laurie_garrett,timothy Top Word Pairs in Tweet in G7:
[9] poz,pozmagazine [9] positive,vote [9] vote,vital [8] vital,beginning [8] beginning,towards [8] towards,changing [8] changing,society [8] covid,19 [7] society,poz [5] perhaps,biggest Top Word Pairs in Tweet in G8:
[2] harm,reduction [2] generic,version [2] good,news Top Word Pairs in Tweet in G9:
[18] través,pozmagazine [14] aidsmap,pozmagazine [13] poz,través [13] #conversemosdevih,#elvihtambienvistedemujer [13] #elvihtambienvistedemujer,iasociety [13] iasociety,minsaludve [13] minsaludve,inhrr_vzla [13] inhrr_vzla,apinfectologia [10] apinfectologia,unaids [10] unaids,aidsmap Top Word Pairs in Tweet in G10:
[6] poz,pozmagazine [3] hiv,leaders [3] leaders,congratulate [3] congratulate,warn [3] warn,joe [3] joe,biden [3] biden,kamala [3] kamala,harris [3] harris,poz [2] legendaryluna,hiv Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: