The graph represents a network of 498 Twitter users whose recent tweets contained "#AAPLegCon", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 07 April 2019 at 17:38 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 14-minute period from Friday, 29 March 2019 at 17:22 UTC to Sunday, 07 April 2019 at 17:36 UTC.
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 : 498
Unique Edges : 1296
Edges With Duplicates : 1835
Total Edges : 3131
Self-Loops : 326
Reciprocated Vertex Pair Ratio : 0.0622992935131663
Reciprocated Edge Ratio : 0.117291414752116
Connected Components : 18
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 470
Maximum Edges in a Connected Component : 3101
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.923699
Graph Density : 0.00668266627879728
Modularity : 0.25103
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[97] 300,pediatricians [96] over,300 [84] #aaplegcon,#putkids1st [79] pediatricians,dc [65] gun,safety [65] safety,research [62] tuesday,over [62] dc,urge [62] urge,congress [62] congress,fund Top Word Pairs in Tweet in G1:
[56] #aaplegcon,#putkids1st [28] sftydc,dcdelmonte [23] reach,potential [21] dcdelmonte,#aaplegcon [21] 300,pediatricians [21] here,#aaplegcon [21] over,300 [20] dr,gary [19] child,zip [19] zip,code Top Word Pairs in Tweet in G2:
[54] over,300 [54] 300,pediatricians [53] pediatricians,dc [45] tuesday,over [45] dc,urge [45] urge,congress [45] congress,fund [45] fund,federal [45] federal,gun [45] gun,safety Top Word Pairs in Tweet in G3:
[11] here,#aaplegcon [9] #aaplegcon,#tweetiatrician [9] child,health [8] don,t [7] #putkids1st,#aaplegcon [7] aapsopt,aapnews [7] #aaplegcon,#putkids1st [6] wow,knew [6] knew,teen [6] teen,#juuls Top Word Pairs in Tweet in G4:
[21] work,requirements [16] medicaid,work [9] 18,000 [9] child,zip [9] zip,code [8] dr,gary [8] gary,wheeler [7] didn,t [7] session,#aaplegcon [7] live,life Top Word Pairs in Tweet in G5:
[7] eliza_varadi,bbruggmd [7] bbruggmd,jamiepoz [7] jamiepoz,aapsopt [7] dcdelmonte,#aaplegcon [6] namd4kids,lisacostellowv [6] helhathnofury,eliza_varadi [6] #putkids1st,#aaplegcon [6] #aaplegcon,#tweetiatrician [6] advocating,children [6] s,health Top Word Pairs in Tweet in G6:
[6] 300,pediatricians [6] #aaplegcon,#putkids1st [5] over,300 [5] looking,forward [4] advocate,kids [4] child,zip [4] zip,code [4] washington,dc [4] #tweetiatricians,#putkids1st [3] kicking,#aaplegcon Top Word Pairs in Tweet in G7:
[2] advocate,kids [2] #aaplegcon,#putkids1st [2] d,c [2] gun,violence Top Word Pairs in Tweet in G8:
[3] dc,excited [2] reporting,dc [2] excited,first [2] first,#aaplegcon [2] #aaplegcon,representing [2] representing,great [2] great,state [2] state,maine [2] pertinent,work [2] work,grateful Top Word Pairs in Tweet in G9:
[5] map,red [5] red,blue [5] blue,healthcare [5] healthcare,access [5] access,conservative [5] conservative,issue [5] issue,liberal [5] liberal,issue [5] issue,access [4] evidence,help Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: