The graph represents a network of 1,653 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, 02 December 2019 at 15:44 UTC.
The requested start date was Monday, 02 December 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, 13-hour, 6-minute period from Saturday, 28 September 2019 at 11:43 UTC to Monday, 02 December 2019 at 00:50 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 : 1653
Unique Edges : 3409
Edges With Duplicates : 6801
Total Edges : 10210
Number of Edge Types : 3
Mentions : 9063
Tweet : 816
Replies to : 331
Self-Loops : 816
Reciprocated Vertex Pair Ratio : 0.0914300599114353
Reciprocated Edge Ratio : 0.167541766109785
Connected Components : 36
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 1604
Maximum Edges in a Connected Component : 10156
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.718487
Graph Density : 0.0015343736313314
Modularity : 0.239564
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,653 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, 02 December 2019 at 15:44 UTC.
The requested start date was Monday, 02 December 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, 13-hour, 6-minute period from Saturday, 28 September 2019 at 11:43 UTC to Monday, 02 December 2019 at 00:50 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:
[1677] #rt,pozmagazine [372] poz,pozmagazine [176] living,hiv [133] people,living [133] #hiv,#aids [126] poz,100 [123] people,hiv [123] #prep,#prevention [111] pozmagazine,poz [107] hiv,treatment Top Word Pairs in Tweet in G1:
[230] poz,pozmagazine [77] #prep,#prevention [67] #hiv,#aids [65] people,hiv [61] living,hiv [51] poz,100 [49] hiv,treatment [47] people,living [35] #aids,#endhivstigma [34] aids_united,#advocacy Top Word Pairs in Tweet in G2:
[1634] #rt,pozmagazine [91] pozmagazine,poz [71] poz,pozmagazine [57] poz,100 [53] living,hiv [45] #prep,#prevention [44] people,hiv [44] people,living [43] #hiv,#aids [36] awarefndngroup,#rt Top Word Pairs in Tweet in G3:
[33] biggest,fans [33] fans,week [31] living,hiv [26] world,aids [26] adherence,equals [26] equals,better [26] better,health [24] week,pozmagazine [23] aids,day [21] december,1st Top Word Pairs in Tweet in G4:
[22] #hiv,#plhiv [22] #plhiv,#endhivstigma [22] #endhivstigma,pozmagazine [21] people,living [20] benryanwriter,pozmagazine [18] living,hiv [16] hiv,vaccine [14] hiv,networks [14] networks,support [14] support,hiv2020 Top Word Pairs in Tweet in G5:
[2] bbcbreaking,bbcworld [2] bbcworld,bbcnews [2] vp,potus [2] unhumanrights,hrc [2] copevancouver,pozmagazine [2] senwarren,kinsellawarren [2] transgender,people [2] women,color 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] #firsttimetour,another [12] another,award Top Word Pairs in Tweet in G7:
[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 G8:
[5] awarefndngroup,#rt [5] #rt,pozmagazine [4] #undetectableman,jacen_zhu [4] jacen_zhu,#endtheepidemic [4] #endtheepidemic,achieving [4] achieving,maintaining [3] fight,aids [3] aids,africa [3] maintaining,undetectable [3] undetectable,hiv Top Word Pairs in Tweet in G9:
[13] film,television [12] best,film [10] poz,pozmagazine [9] poz,awards [9] awards,2019 [9] 2019,best [9] category,poz [9] poz,award [9] award,nominee [8] television,poz Top Word Pairs in Tweet in G10:
[8] book,outintime1 [8] best,literature [7] vote,book [7] poz,awards [7] awards,2019 [7] 2019,best [5] please,vote [5] outintime1,nominated [5] nominated,best [5] literature,pozmagazine Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: