The graph represents a network of 1,883 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, 18 May 2020 at 12:32 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 77-day, 12-hour, 47-minute period from Sunday, 01 March 2020 at 00:14 UTC to Sunday, 17 May 2020 at 13:01 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 : 1883
Unique Edges : 2435
Edges With Duplicates : 8769
Total Edges : 11204
Number of Edge Types : 5
Retweet : 1797
MentionsInRetweet : 3259
Tweet : 784
Mentions : 4999
Replies to : 365
Self-Loops : 809
Reciprocated Vertex Pair Ratio : 0.0792778649921507
Reciprocated Edge Ratio : 0.146909090909091
Connected Components : 57
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 1813
Maximum Edges in a Connected Component : 11131
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.687929
Graph Density : 0.00116400276990332
Modularity : 0.253349
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 1,883 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, 18 May 2020 at 12:32 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 77-day, 12-hour, 47-minute period from Sunday, 01 March 2020 at 00:14 UTC to Sunday, 17 May 2020 at 13:01 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:
[808] covid,19 [635] poz,pozmagazine [324] people,hiv [251] need,know [248] #coronavirus,#covid2019 [203] know,coronavirus [199] hiv,need [166] #coronavirus,#covid19 [141] coronavirus,poz [133] 19,poz Top Word Pairs in Tweet in G1:
[532] covid,19 [437] poz,pozmagazine [248] people,hiv [246] #coronavirus,#covid2019 [201] need,know [171] know,coronavirus [168] hiv,need [151] #coronavirus,#covid19 [106] coronavirus,poz [98] 19,poz Top Word Pairs in Tweet in G2:
[120] poz,pozmagazine [105] covid,19 [57] #hiv,#plhiv [57] #plhiv,#sciencenotstigma [55] #sciencenotstigma,pozmagazine [42] cameron,preventionaccess [38] preventionaccess,org [32] poz,vã [32] vã,pozmagazine [24] send,blogs Top Word Pairs in Tweet in G3:
[26] covid,19 [19] data,randomized [18] pozmagazine,stevefda [17] stevefda,gileadsciences [14] people,living [13] john,brooks [13] brooks,cdcgov [13] #remdesivir,data [13] randomized,trials [13] trials,preliminary Top Word Pairs in Tweet in G4:
[59] mt,pozmagazine [28] govparsonmo,lydakrewson [28] lydakrewson,presreed [28] presreed,repannwagner [28] repannwagner,royblunt [28] royblunt,hawleymo [28] hawleymo,scottsifton [28] scottsifton,lacyclaymo1 [28] lacyclaymo1,jmmurphy8 [28] jmmurphy8,speakerpelosi Top Word Pairs in Tweet in G5:
[43] amfar,defeathiv [38] curehivnow,amfar [31] covid,19 [25] londonpatient,pozmagazine [25] defeathiv,melindagates [19] amfar,gatesfoundation [16] benryanwriter,pozmagazine [15] #hivcure,amfar [14] poz,pozmagazine [14] actupny,actupboston Top Word Pairs in Tweet in G6:
[43] covid,19 [24] nygovcuomo,release [24] release,incarcerated [24] incarcerated,elders [24] elders,before [24] before,covid [24] 19,kills [24] kills,thebodydotcom [23] laurawhitehorn,nygovcuomo [22] thebodydotcom,gregâ Top Word Pairs in Tweet in G7:
[3] face,covering [3] hiv,prevention [3] a2,nyc [3] nyc,road [3] road,#elimination [3] #elimination,#hepc [3] #hepc,#plwh [3] #plwh,#plwh [3] #plwh,treated [3] treated,#cured Top Word Pairs in Tweet in G8:
[4] covid,19 [3] living,hiv [2] hiv,aids [2] people,living [2] loved,ones [2] safe,sex Top Word Pairs in Tweet in G9:
[21] maddow,pozmagazine [21] pozmagazine,nathaliaholt [19] #hiv,#aids [17] stop,comparing [17] comparing,#coronavirus [17] #coronavirus,early [17] early,#hiv [17] #aids,stop [17] stop,maddow [16] myfabdisease,stop Top Word Pairs in Tweet in G10:
[8] join,discussion [8] discussion,#covid19 [8] #covid19,makes [8] makes,people [8] people,think [8] think,hiv [8] hiv,aids [8] aids,face [7] afnhi_tweets,join [7] face,curre 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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