The graph represents a network of 1,580 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, 16 December 2019 at 16:07 UTC.
The requested start date was Monday, 16 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, 22-hour, 30-minute period from Saturday, 12 October 2019 at 02:17 UTC to Monday, 16 December 2019 at 00:47 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 : 1580
Unique Edges : 3181
Edges With Duplicates : 6783
Total Edges : 9964
Number of Edge Types : 3
Mentions : 8734
Tweet : 900
Replies to : 330
Self-Loops : 900
Reciprocated Vertex Pair Ratio : 0.0974658869395711
Reciprocated Edge Ratio : 0.177619893428064
Connected Components : 37
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 1533
Maximum Edges in a Connected Component : 9909
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.74608
Graph Density : 0.0015796730826272
Modularity : 0.225797
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1,580 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, 16 December 2019 at 16:07 UTC.
The requested start date was Monday, 16 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, 22-hour, 30-minute period from Saturday, 12 October 2019 at 02:17 UTC to Monday, 16 December 2019 at 00:47 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:
[1635] #rt,pozmagazine [346] poz,pozmagazine [158] living,hiv [127] poz,100 [124] #prep,#prevention [123] pozmagazine,poz [120] #hiv,#aids [111] people,living [101] people,hiv [89] world,aids Top Word Pairs in Tweet in G1:
[1571] #rt,pozmagazine [88] pozmagazine,poz [63] poz,pozmagazine [60] poz,100 [58] living,hiv [47] #prep,#prevention [42] people,living [40] people,hiv [39] #hiv,#aids [34] living,#hiv Top Word Pairs in Tweet in G2:
[193] poz,pozmagazine [77] #prep,#prevention [66] #hiv,#aids [53] poz,100 [52] living,hiv [49] #aids,#endhivstigma [45] people,living [45] people,hiv [38] living,#hiv [37] #pozbasics,#aids Top Word Pairs in Tweet in G3:
[31] adherence,equals [31] equals,better [31] better,health [30] poz,pozmagazine [28] #hiv,#plhiv [28] #plhiv,#endhivstigma [28] #endhivstigma,pozmagazine [26] world,aids [24] aids,day [22] fight,hiv Top Word Pairs in Tweet in G4:
[2] jennykwanbc,melaniejmark [2] unhumanrights,hrc [2] bbcbreaking,bbcworld [2] bbcworld,bbcnews [2] senwarren,kinsellawarren [2] copevancouver,pozmagazine [2] vp,potus [2] end,hiv [2] hiv,aids [2] aids,epidemic Top Word Pairs in Tweet in G5:
[20] awarefndngroup,#rt [20] #rt,pozmagazine [16] hiv,negative [16] mypozitivelife,br999 [16] br999,pozmagazine [16] preventionac,davinaconner [15] pozmagazine,murray_penner [14] matovuwilliam1,mypozitivelife [14] pieter_brokx,preventionac [14] poz,pozmagazine Top Word Pairs in Tweet in G6:
[17] benryanwriter,pozmagazine [17] pozmagazine,benryanwriter [17] poz,pozmagazine [9] bi,men [9] µà,ˆà [9] ˆà,ˆà [8] awarefndngroup,#rt [8] #rt,pozmagazine [8] hiv,medication [8] zika,virus Top Word Pairs in Tweet in G7:
[25] biggest,fans [25] fans,week [15] #fcaasummit,fcaa [14] week,pozmagazine [9] living,hiv [9] join,yplus_network [9] yplus_network,board [9] board,looking [9] looking,america [9] america,rep Top Word Pairs in Tweet in G8:
[17] #nyc's,st [17] st,patrick's [16] 30th,anniversary [16] anniversary,historic [11] #hiv,poz [11] 11,steps [11] steps,#nyc's [11] patrick's,cathedral [11] cathedral,#actup [11] #actup,marks Top Word Pairs in Tweet in G9:
[55] video,series [46] best,video [33] poz,award [29] prep,works [27] series,prep [21] series,#prep [21] #prep,works [19] teamprepster,nominated [18] nominated,poz [18] award,pozmagazine Top Word Pairs in Tweet in G10:
[8] study,protocol [4] long,last [4] last,prosper [4] prosper,hiv [4] hiv,study [4] protocol,press [4] press,read [4] read,full [4] full,#exercise [4] #exercise,#diet Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: