The graph represents a network of 1,436 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, 26 October 2020 at 13:06 UTC.
The requested start date was Monday, 26 October 2020 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 85-day, 22-hour, 41-minute period from Saturday, 01 August 2020 at 00:10 UTC to Sunday, 25 October 2020 at 22:51 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 : 1436
Unique Edges : 2084
Edges With Duplicates : 8148
Total Edges : 10232
Number of Edge Types : 5
Mentions : 6023
MentionsInRetweet : 1923
Retweet : 1142
Tweet : 869
Replies to : 275
Self-Loops : 878
Reciprocated Vertex Pair Ratio : 0.074348245896363
Reciprocated Edge Ratio : 0.138406231276213
Connected Components : 38
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1391
Maximum Edges in a Connected Component : 10183
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.906128
Graph Density : 0.00161986936224316
Modularity : 0.202771
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,436 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, 26 October 2020 at 13:06 UTC.
The requested start date was Monday, 26 October 2020 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 85-day, 22-hour, 41-minute period from Saturday, 01 August 2020 at 00:10 UTC to Sunday, 25 October 2020 at 22:51 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:
[1688] #rt,pozmagazine [481] covid,19 [365] poz,pozmagazine [332] #coronavirus,#covid19 [196] hiv,aids [121] people,living [119] living,hiv [113] lambdalegal,pozmagazine [112] #prep,#prevention [111] pozmagazine,#askpoz Top Word Pairs in Tweet in G1:
[249] covid,19 [241] poz,pozmagazine [173] #coronavirus,#covid19 [90] #hiv,#plhiv [90] #plhiv,#sciencenotstigma [89] hiv,aids [81] #sciencenotstigma,pozmagazine [59] #prep,#prevention [51] people,living [47] poz,poll Top Word Pairs in Tweet in G2:
[1619] #rt,pozmagazine [187] covid,19 [155] #coronavirus,#covid19 [108] pozmagazine,#askpoz [68] hiv,aids [62] œðÿ,œðÿ [57] pozmagazine,#pozbasics [56] poz,pozmagazine [55] pozmagazine,poz [49] #prep,#prevention Top Word Pairs in Tweet in G3:
[41] poz,pozmagazine [17] living,hiv [15] people,living [14] long,term [14] san,francisco [14] hiv,aids [14] covid,19 [11] cure,#hiv [11] call,participate [11] participate,science Top Word Pairs in Tweet in G4:
[46] #rt,pozmagazine [45] awarefndngroup,#rt [36] hiv,status [22] living,hiv [18] knowing,hiv [18] status,taking [18] taking,bold [18] bold,step [18] step,accepting [18] accepting,hiv Top Word Pairs in Tweet in G5:
[17] bmore_healthy,mdhealthdept [10] pozmagazine,pozglobal [7] jhunursing,bmore_healthy [6] pozglobal,pozmagazine [5] pozglobal,jhunursing [5] covid,19 [5] living,#hiv [4] bmore_healthy,jhunursing [3] baltcitylgbtq,lgbtqnation [3] jhunursing,marylandnursing 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:
[113] lambdalegal,pozmagazine [98] goldtrader67,lambdalegal [12] pozmagazine,surgery [11] ctheotter,goldtrader67 [11] llboilly,goldtrader67 [10] sebastianisblu,goldtrader67 [8] jo_g640518_,lambdalegal [6] sashguitars,goldtrader67 [5] intersex,people [5] male,female Top Word Pairs in Tweet in G8:
[8] san,francisco [5] hiv,aids [5] reprieve,study [5] study,primarily [5] primarily,looking [5] looking,statin [5] statin,effect [5] effect,cardiovascular [5] cardiovascular,disease [5] disease,shedding Top Word Pairs in Tweet in G9:
[2] hiv,aids [2] end,hiv [2] good,news [2] harm,reduction [2] alcohol,misuse [2] hiv,pozmagazine [2] generic,version Top Word Pairs in Tweet in G10:
[14] poz,pozmagazine [9] daily,thanks [6] thanks,pozmagazine [6] latest,gaynewsnet [6] gaynewsnet,daily [5] during,covid [5] covid,19 [5] hear,latino [5] latino,gay [5] gay,bisexual Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G10:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: