The graph represents a network of 1,661 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 Tuesday, 26 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 64-day, 4-hour, 8-minute period from Saturday, 21 September 2019 at 20:28 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 : 1661
Unique Edges : 3491
Edges With Duplicates : 7024
Total Edges : 10515
Number of Edge Types : 3
Replies to : 354
Mentions : 9378
Tweet : 783
Self-Loops : 783
Reciprocated Vertex Pair Ratio : 0.0918032786885246
Reciprocated Edge Ratio : 0.168168168168168
Connected Components : 36
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 1611
Maximum Edges in a Connected Component : 10459
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.729553
Graph Density : 0.00157003692071114
Modularity : 0.239717
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,661 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 Tuesday, 26 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 64-day, 4-hour, 8-minute period from Saturday, 21 September 2019 at 20:28 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:
[1693] #rt,pozmagazine [372] poz,pozmagazine [184] living,hiv [149] people,hiv [130] people,living [127] #hiv,#aids [125] poz,100 [125] #prep,#prevention [109] pozmagazine,poz [107] hiv,treatment Top Word Pairs in Tweet in G1:
[228] poz,pozmagazine [78] #prep,#prevention [69] people,hiv [59] #hiv,#aids [58] living,hiv [58] poz,100 [51] hiv,treatment [42] people,living [39] aging,hiv [33] aids_united,#advocacy Top Word Pairs in Tweet in G2:
[1645] #rt,pozmagazine [92] pozmagazine,poz [80] living,hiv [71] poz,pozmagazine [68] people,living [54] people,hiv [50] #hiv,#aids [50] poz,100 [47] #prep,#prevention [37] pozmagazine,#aidsiseveryday Top Word Pairs in Tweet in G3:
[44] pozmagazine,hivplusmag [43] hivplusmag,posaware [29] zeezalnasky,pozmagazine [23] living,hiv [22] adherence,equals [22] equals,better [22] better,health [22] #hiv,#plhiv [22] #plhiv,#endhivstigma [22] #endhivstigma,pozmagazine 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 [23] 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:
[9] 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 G7:
[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 G8:
[2] texastribune,peteforamerica [2] peteforamerica,petebuttigieg Top Word Pairs in Tweet in G9:
[9] join,yplus_network [9] yplus_network,board [9] board,looking [9] looking,america [9] america,rep [9] rep,stipend [9] stipend,travel [9] travel,included [9] included,nmaccommunity [9] nmaccommunity,hrc Top Word Pairs in Tweet in G10:
[6] lgbtcenternyc,actupny [6] actupny,pozmagazine [6] pozmagazine,kelseylouiegmhc [6] kelseylouiegmhc,gmhc [6] gmhc,actuppu [6] actuppu,actupparis [6] actupparis,mynameisjro [6] mynameisjro,housingworks [6] nahfret,hereâ [6] hereâ,article 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: