The graph represents a network of 1,680 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, 25 November 2019 at 14:15 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 65-day, 10-hour, 10-minute period from Friday, 20 September 2019 at 14:25 UTC to Monday, 25 November 2019 at 00:36 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 : 1680
Unique Edges : 3531
Edges With Duplicates : 6981
Total Edges : 10512
Number of Edge Types : 3
Replies to : 358
Mentions : 9363
Tweet : 791
Self-Loops : 791
Reciprocated Vertex Pair Ratio : 0.0914085914085914
Reciprocated Edge Ratio : 0.167505720823799
Connected Components : 36
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 1630
Maximum Edges in a Connected Component : 10456
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.735257
Graph Density : 0.00154924983692107
Modularity : 0.241562
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,680 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, 25 November 2019 at 14:15 UTC.
The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 65-day, 10-hour, 10-minute period from Friday, 20 September 2019 at 14:25 UTC to Monday, 25 November 2019 at 00:36 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:
[1647] #rt,pozmagazine [372] poz,pozmagazine [182] living,hiv [152] people,hiv [130] people,living [126] #hiv,#aids [125] poz,100 [123] #prep,#prevention [108] pozmagazine,poz [106] hiv,treatment Top Word Pairs in Tweet in G1:
[225] poz,pozmagazine [79] #prep,#prevention [70] people,hiv [60] living,hiv [58] #hiv,#aids [52] poz,100 [51] hiv,treatment [45] people,living [36] aging,hiv [34] aids_united,#advocacy Top Word Pairs in Tweet in G2:
[1600] #rt,pozmagazine [91] pozmagazine,poz [70] poz,pozmagazine [57] poz,100 [50] #hiv,#aids [49] people,hiv [49] living,hiv [49] people,living [43] #prep,#prevention [37] pozmagazine,#aidsiseveryday Top Word Pairs in Tweet in G3:
[45] pozmagazine,hivplusmag [43] biggest,fans [43] fans,week [43] hivplusmag,posaware [35] week,pozmagazine [32] zeezalnasky,pozmagazine [32] living,hiv [22] adherence,equals [22] equals,better [22] better,health Top Word Pairs in Tweet in G4:
[2] senwarren,kinsellawarren [2] copevancouver,pozmagazine [2] unhumanrights,hrc [2] bbcbreaking,bbcworld [2] bbcworld,bbcnews [2] vp,potus Top Word Pairs in Tweet in G5:
[27] hiv,vaccine [24] benryanwriter,pozmagazine [17] pozmagazine,benryanwriter [13] join,hiv [13] vaccine,trials [13] journey,find [13] find,safe [13] safe,effective [13] effective,hiv [13] vaccine,benryanwriter Top Word Pairs in Tweet in G6:
[26] nathanieljhall,#firsttimetour [16] #firsttimetour,nominated [16] nominated,pozmagazine [16] pozmagazine,award [16] award,contribution [16] contribution,hiv [16] hiv,representation [16] representation,arts [12] poz,pozmagazine [12] #firsttimetour,another Top Word Pairs in Tweet in G7:
[8] pozmagazine,trentonstraube [7] #hiv,#aids [7] publicly,identified [7] identified,person [7] person,living [7] living,#hiv [7] #hiv,listed [7] listed,keynoter [7] keynoter,amfar's [6] #rt,positivelifensw Top Word Pairs in Tweet in G8:
[8] pozmagazine,thebodydotcom [6] thebodydotcom,ctrhivlawpolicy [6] ctrhivlawpolicy,lambdalegal [6] lambdalegal,aclu [4] congratulations,joaquin [4] joaquin,carcaño [4] carcaño,director [4] director,community [4] community,organizing [4] organizing,being Top Word Pairs in Tweet in G9:
[7] october,november [7] november,2016 [7] 2016,cover [7] cover,story [7] discussed,bold [7] bold,move [7] made,choice [7] choice,disclose [7] disclose,give [7] give,hope Top Word Pairs in Tweet in G10:
[12] sub,saharan [12] saharan,africa [10] end,infections [10] infections,growing [10] growing,population [10] population,adolescents [10] adolescents,sub [10] africa,prevention [10] prevention,programs [9] join,yplus_network Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: