The graph represents a network of 1,398 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 Monday, 06 September 2021 at 15:32 UTC.
The requested start date was Monday, 06 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 16-hour, 34-minute period from Tuesday, 01 June 2021 at 06:26 UTC to Sunday, 05 September 2021 at 23:00 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 : 1398
Unique Edges : 2109
Edges With Duplicates : 7132
Total Edges : 9241
Number of Edge Types : 5
Mentions : 5505
Retweet : 1045
MentionsInRetweet : 1798
Tweet : 637
Replies to : 256
Self-Loops : 650
Reciprocated Vertex Pair Ratio : 0.0625207848353841
Reciprocated Edge Ratio : 0.117683881064163
Connected Components : 35
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 1355
Maximum Edges in a Connected Component : 9196
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.866735
Graph Density : 0.00163593967453249
Modularity : 0.207397
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,398 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 Monday, 06 September 2021 at 15:32 UTC.
The requested start date was Monday, 06 September 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 96-day, 16-hour, 34-minute period from Tuesday, 01 June 2021 at 06:26 UTC to Sunday, 05 September 2021 at 23:00 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:
[1415] #rt,pozmagazine [392] poz,pozmagazine [280] covid,19 [147] trentonstraube,#advocacy [146] #coronavirus,#covid19 [127] people,hiv [122] living,hiv [118] #prep,#prevention [113] people,living [108] hiv,treatment Top Word Pairs in Tweet in G1:
[207] poz,pozmagazine [113] covid,19 [76] #coronavirus,#covid19 [76] trentonstraube,#advocacy [63] #prep,#prevention [54] hiv,treatment [52] living,hiv [51] people,hiv [51] #advocacy,#community [43] #hiv,#prep Top Word Pairs in Tweet in G2:
[1368] #rt,pozmagazine [116] covid,19 [87] pozmagazine,#askpoz [74] pozmagazine,#pozbasics [70] #coronavirus,#covid19 [70] trentonstraube,#advocacy [62] poz,pozmagazine [55] #prep,#prevention [53] pozmagazine,lizhivhep [48] people,hiv Top Word Pairs in Tweet in G3:
[26] pozmagazine,heatherboerner [26] #hiv,survival [26] survival,contest [26] contest,helping [26] helping,somebody [26] somebody,challenges [26] challenges,once [26] once,faced [26] faced,hivgov [25] myfabdisease,#hiv Top Word Pairs in Tweet in G4:
[30] covid,19 [18] news,#ias2021 [15] more,news [15] those,advanced [14] recommends,#covidvaccine [14] #covidvaccine,booster [14] booster,immunocompromised [14] immunocompromised,including [14] including,those [14] advanced,untreated Top Word Pairs in Tweet in G5:
[85] poz,pozmagazine [12] people,living [12] #hiv,#plhiv [12] #plhiv,#sciencenotstigma [12] #sciencenotstigma,pozmagazine [11] living,hiv [10] covid,19 [9] hiv,treatment [9] awarefndngroup,pozmagazine [9] care,poz Top Word Pairs in Tweet in G6:
[12] congratulations,dr [12] colleagues,cdc_hivaids [12] cdc_hivaids,paper [12] paper,highlighting [11] dr,sharoda [11] sharoda,dasgupta [11] dasgupta,colleagues [10] anacjournalof,congratulations [10] highlighting,mulitiface [8] poz,pozmagazine Top Word Pairs in Tweet in G7:
[3] day,#hivlongtermsurvivors [3] #hivlongtermsurvivors,day [3] day,30 [3] 30,years [3] years,past [3] past,#expirationdate [3] #expirationdate,#stillhere [3] #stillhere,pozmagazine [2] gmhc,pozmagazine [2] remarkable,story Top Word Pairs in Tweet in G8:
[17] movement,come [13] publication,alert [13] alert,#hiv [13] #hiv,#prep [13] #prep,being [13] being,prescribed [13] prescribed,needed [13] needed,investigators [13] investigators,jps_health [13] jps_health,deptpopmed Top Word Pairs in Tweet in G9:
[10] ejaf,thebodydotcom [10] thebodydotcom,pozmagazine [10] pozmagazine,qxmagazine [10] qxmagazine,gaytimes [10] gaytimes,attitudemag [10] bashh_uk,britishhivassoc [10] britishhivassoc,unaids [10] unaids,iasociety [7] clonezoneuk,ejaf [7] attitudemag,bashh_uk Top Word Pairs in Tweet in G10:
[28] kind,messaging [28] messaging,change [28] change,medicine [28] medicine,working [28] working,400 [28] 400,copay [28] copay,10 [27] chadfelixg,kind [27] 10,years [24] hiv,infection Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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