The graph represents a network of 4,687 Twitter users whose tweets in the requested range contained "acog", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 April 2019 at 17:40 UTC.
The requested start date was Sunday, 14 April 2019 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 9-day, 5-hour, 18-minute period from Thursday, 04 April 2019 at 18:39 UTC to Saturday, 13 April 2019 at 23:58 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 : 4687
Unique Edges : 6331
Edges With Duplicates : 3035
Total Edges : 9366
Number of Edge Types : 3
Replies to : 1646
Mentions : 6664
Tweet : 1056
Self-Loops : 1056
Reciprocated Vertex Pair Ratio : 0.0349483717235902
Reciprocated Edge Ratio : 0.0675364543361474
Connected Components : 875
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 2012
Maximum Edges in a Connected Component : 5740
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.34148
Graph Density : 0.000296631441512248
Modularity : 0.605671
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[886] put,vagina [883] board,certified [879] certified,obgyn [878] obgyn,please [878] please,put [878] vagina,baby [878] baby,listen [878] listen,music [878] music,baby [877] meadowgood,board Top Word Pairs in Tweet in G1:
[879] put,vagina [873] board,certified [872] certified,obgyn [872] obgyn,please [872] please,put [872] vagina,baby [872] baby,listen [872] listen,music [872] music,baby [871] meadowgood,board Top Word Pairs in Tweet in G2:
[46] social,determinants [46] determinants,health [39] health,care [36] acogaction,acog [35] health,environmental [35] environmental,conditions [35] conditions,affect [35] affect,health [35] health,shown [35] shown,impact Top Word Pairs in Tweet in G3:
[19] acog最強,acog最強 [14] w,rs [14] b,rs [14] acogはいつまでも使えるものだと思っていた,だが違った [12] ak47には,acogサイトつけない方がカッコいいよね [8] acog,scope [8] ash,acog [8] american,college [8] gynecologists,acog [7] college,obstetricians Top Word Pairs in Tweet in G4:
[22] acog,back [16] bring,back [15] back,acog [13] give,acog [13] bandit,acog [11] remove,acog [11] rainbow6game,bring [10] win,rate [9] ash,acog [9] bribe,want Top Word Pairs in Tweet in G5:
[200] realdonaldtrump,dnc [194] amermedicalassn,acog [189] dnc,amermedicalassn [188] presssec,realdonaldtrump [165] alanpattersonmd,presssec [23] b_r_felts,alanpattersonmd [13] stand,behind [13] those,countries [12] presssec,totally [12] totally,stand Top Word Pairs in Tweet in G6:
[7] #bbb19,#provaderesistenciafiat [7] racismo,reverso [7] q,não [7] e,não [7] não,existe [7] existe,racismo [6] vingamtutoriais,bbb [5] na,final [5] bbb,e [4] tem,q Top Word Pairs in Tweet in G7:
[83] amermedicalassn,sahmtweets [83] sahmtweets,publichealth [83] publichealth,acog [68] health,care [65] care,professionals [65] professionals,amermedicalassn [58] acog,aameracadpeds [35] sb,1774 [33] more,oppose [33] #stopsb1774,#matureenough Top Word Pairs in Tweet in G8:
[10] buck,acog [7] karma,buck [6] revolt_robbie,karma [5] acog,gun [4] play,acog [4] revolt_robbie,jajacxr6 [4] jajacxr6,robben_1905_ [3] acog,stand [3] stand,up [3] up,boom Top Word Pairs in Tweet in G9:
[61] ashからacog取り除いた結果,ashの勝率上がったらしい [60] cineming,ashからacog取り除いた結果 [5] z1ronic,think [5] think,ash [5] ash,acog [5] acog,change [5] change,going [5] going,matter [5] matter,read [5] read,watch Top Word Pairs in Tweet in G10:
[65] currently,playing [65] playing,siege [65] siege,1 [65] 1,0 [65] 0,old [65] old,recoil [65] recoil,old [65] old,leaning [65] leaning,old [65] old,movement 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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