The graph represents a network of 1,019 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, 13 September 2021 at 15:31 UTC.
The requested start date was Monday, 13 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 73-day, 23-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Monday, 13 September 2021 at 00:00 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 : 1019
Unique Edges : 1392
Edges With Duplicates : 4887
Total Edges : 6279
Number of Edge Types : 5
Mentions : 3889
MentionsInRetweet : 1082
Retweet : 638
Tweet : 472
Replies to : 198
Self-Loops : 481
Reciprocated Vertex Pair Ratio : 0.056359102244389
Reciprocated Edge Ratio : 0.106704438149197
Connected Components : 39
Single-Vertex Connected Components : 30
Maximum Vertices in a Connected Component : 971
Maximum Edges in a Connected Component : 6233
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.907041
Graph Density : 0.00204175672054154
Modularity : 0.217453
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,019 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, 13 September 2021 at 15:31 UTC.
The requested start date was Monday, 13 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 73-day, 23-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Monday, 13 September 2021 at 00:00 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:
[1004] #rt,pozmagazine [272] poz,pozmagazine [186] covid,19 [118] #prep,#prevention [103] living,hiv [97] #hiv,#prep [97] #coronavirus,#covid19 [95] people,hiv [89] people,living [83] heatherboerner,#hiv Top Word Pairs in Tweet in G1:
[219] poz,pozmagazine [92] covid,19 [63] #prep,#prevention [51] living,hiv [51] #coronavirus,#covid19 [46] hiv,treatment [44] #hiv,#prep [43] trentonstraube,#advocacy [42] heatherboerner,#hiv [41] #advocacy,#community Top Word Pairs in Tweet in G2:
[970] #rt,pozmagazine [80] covid,19 [58] pozmagazine,#askpoz [58] pozmagazine,#pozbasics [55] #prep,#prevention [46] #coronavirus,#covid19 [41] heatherboerner,#hiv [40] pozmagazine,lizhivhep [40] #hiv,#prep [40] pozmagazine,#pozstories Top Word Pairs in Tweet in G3:
[17] news,#ias2021 [16] those,advanced [15] people,#hiv [15] recommends,#covidvaccine [15] #covidvaccine,booster [15] booster,immunocompromised [15] immunocompromised,including [15] including,those [15] advanced,untreated [15] untreated,#hiv Top Word Pairs in Tweet in G4:
[13] congratulations,dr [13] colleagues,cdc_hivaids [13] cdc_hivaids,paper [13] paper,highlighting [12] dr,sharoda [12] sharoda,dasgupta [12] dasgupta,colleagues [11] anacjournalof,congratulations [11] highlighting,mulitiface [10] ejaf,thebodydotcom Top Word Pairs in Tweet in G5:
[8] reduce,stigma [8] stigma,need [8] need,educate [8] educate,ppl [8] ppl,hiv [8] hiv,stay [8] stay,healthy [8] healthy,canâ [8] canâ,pass [7] hiv,#uequalsu Top Word Pairs in Tweet in G6:
[11] representation,matters [11] matters,pozmagazine [11] pozmagazine,interview [11] interview,poz [11] poz,magazine [11] magazine,promote [10] aspieters,representation [10] promote,upcomin [10] #hiv,#aids [7] people,living Top Word Pairs in Tweet in G7:
[6] aidsaction,pozmagazine [5] awarefndngroup,pozmagazine [4] people,value [4] living,hiv [4] advance,radical [4] radical,notion [4] notion,lives [4] lives,hiv [4] hiv,positive [4] positive,people Top Word Pairs in Tweet in G8:
[27] kind,messaging [27] messaging,change [27] change,medicine [27] medicine,working [27] working,400 [27] 400,copay [27] copay,10 [26] chadfelixg,kind [26] 10,years [24] hiv,infection Top Word Pairs in Tweet in G9:
[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 [13] deptpopmed,report Top Word Pairs in Tweet in G10:
[6] vision_0_tech,nychra [6] nychra,wole_m_fayemi [6] wole_m_fayemi,realdonaldtrump [6] realdonaldtrump,logcabingop [6] logcabingop,nycgov [6] nycgov,nycspeakercojo [6] nycspeakercojo,nychealthcommr [6] nychealthcommr,nychealthsystem [6] nychealthsystem,nycmayor [6] nycmayor,socialsecurity 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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