The graph represents a network of 1,220 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, 27 September 2021 at 15:30 UTC.
The requested start date was Monday, 27 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 87-day, 21-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Sunday, 26 September 2021 at 22:00 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 : 1220
Unique Edges : 1783
Edges With Duplicates : 6043
Total Edges : 7826
Number of Edge Types : 5
Mentions : 4832
Retweet : 807
MentionsInRetweet : 1404
Tweet : 538
Replies to : 245
Self-Loops : 549
Reciprocated Vertex Pair Ratio : 0.052368117058144
Reciprocated Edge Ratio : 0.0995243322356385
Connected Components : 40
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 1171
Maximum Edges in a Connected Component : 7777
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.904558
Graph Density : 0.00183770626285991
Modularity : 0.229729
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,220 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, 27 September 2021 at 15:30 UTC.
The requested start date was Monday, 27 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 87-day, 21-hour, 59-minute period from Thursday, 01 July 2021 at 00:00 UTC to Sunday, 26 September 2021 at 22:00 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:
[1172] #rt,pozmagazine [318] poz,pozmagazine [210] covid,19 [142] #prep,#prevention [109] living,hiv [108] #coronavirus,#covid19 [105] #hiv,#prep [105] trentonstraube,#advocacy [104] people,hiv [96] hiv,aids Top Word Pairs in Tweet in G1:
[217] poz,pozmagazine [98] covid,19 [75] #prep,#prevention [56] #coronavirus,#covid19 [56] trentonstraube,#advocacy [51] living,hiv [49] #hiv,#prep [49] hiv,aids [48] #advocacy,#community [47] hiv,treatment Top Word Pairs in Tweet in G2:
[1135] #rt,pozmagazine [99] covid,19 [72] pozmagazine,#pozbasics [67] #prep,#prevention [60] pozmagazine,lizhivhep [58] pozmagazine,#askpoz [52] #coronavirus,#covid19 [49] trentonstraube,#advocacy [45] poz,pozmagazine [44] pozmagazine,poz Top Word Pairs in Tweet in G3:
[23] awarefndngroup,#rt [23] #rt,pozmagazine [14] gender,diverse [14] poz,pozmagazine [11] representation,matters [11] matters,pozmagazine [11] pozmagazine,interview [11] interview,poz [11] poz,magazine [11] magazine,promote Top Word Pairs in Tweet in G4:
[39] fda,approves [39] approves,first [39] first,human [39] human,trial [39] trial,investigating [39] investigating,#crispr [39] #crispr,gene [39] gene,editing [39] editing,#hiv [39] #hiv,cure Top Word Pairs in Tweet in G5:
[31] poz,pozmagazine [5] hiv,aids [4] advance,radical [4] radical,notion [4] notion,lives [4] lives,hiv [4] hiv,positive [4] positive,people [4] people,value [4] awareness,day Top Word Pairs in Tweet in G6:
[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 Word Pairs in Tweet in G7:
[6] hivhep,carl [6] carl,schmid [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 Top Word Pairs in Tweet in G8:
[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:
[7] long,covid [5] causing,long [4] covid,théories [4] théories,prof [4] prof,iwasaki [4] iwasaki,virusesimmunity [4] virusesimmunity,#yale [4] #yale,expliquer [4] expliquer,#longcovid [3] laparoleaudroit,causing Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: