The graph represents a network of 5,087 Twitter users whose recent tweets contained "#APSA2019", 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 Saturday, 31 August 2019 at 14:27 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 13-minute period from Thursday, 22 August 2019 at 06:59 UTC to Saturday, 31 August 2019 at 14:13 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 : 5087
Unique Edges : 18248
Edges With Duplicates : 15660
Total Edges : 33908
Self-Loops : 1792
Reciprocated Vertex Pair Ratio : 0.0682911687102282
Reciprocated Edge Ratio : 0.127851227662357
Connected Components : 85
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 4952
Maximum Edges in a Connected Component : 33753
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.115685
Graph Density : 0.000798106652465736
Modularity : 0.387527
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[484] political,discussions [388] check,out [375] #apsa2019,panel [344] political,science [329] #apsa2019,#apsa19 [313] apsatweets,#apsa2019 [274] presenting,research [269] looking,forward [250] 1,9 [245] more,toxic Top Word Pairs in Tweet in G1:
[175] check,out [146] #apsa2019,panel [122] political,science [117] looking,forward [109] #apsa2019,#apsa19 [100] grad,students [93] come,see [80] #apsa2019,apsatweets [76] apsatweets,#apsa2019 [74] panel,#apsa2019 Top Word Pairs in Tweet in G2:
[156] apsatweets,#apsa2019 [99] recent,presidents [99] presidents,media [99] media,exchanges [99] exchanges,reporters [99] reporters,trump [99] trump,442 [99] 442,far [99] far,ahead [99] ahead,others Top Word Pairs in Tweet in G3:
[108] #apsa2019,#apsa19 [104] #apsa2019,panel [84] political,science [78] free,access [65] pop,section [51] until,end [42] section,#apsa2019 [42] check,out [42] looking,forward [42] 2019,#apsa2019 Top Word Pairs in Tweet in G4:
[178] #apsa2019,#polcomm [114] leticiabode,ekvraga [107] jennifer_oser,drboulianne [106] apsatweets,poli_com [102] galenstocking,michaelbarthel [100] #polcomm,#polcomm2019 [99] michaelbarthel,leticiabode [99] ekvraga,ozerthemoon [99] ozerthemoon,allisonarcher [95] sreckhow,melamedeiros Top Word Pairs in Tweet in G5:
[426] political,discussions [214] szasulja,presenting [214] presenting,research [214] research,online [214] online,political [214] discussions,perceived [214] perceived,more [212] #apsa2019,szasulja [212] more,toxic [212] toxic,offline Top Word Pairs in Tweet in G6:
[40] thread,#apsa2019 [40] 1,n [27] book,award [26] new,book [25] #apsa2019,download [25] #apsa2019,new [25] award,winners [25] winners,1 [22] award,winning [18] #apsa2019,award Top Word Pairs in Tweet in G7:
[73] arturochangq,kaplanhum [73] rbkhoury,buffettinst [73] asdurso,tgsatnu [72] chloethurstondc,ipratnu [72] ipratnu,arturochangq [72] kaplanhum,rbkhoury [72] buffettinst,tabithabonilla [72] tabithabonilla,csddatnu [72] csddatnu,asdurso [72] tgsatnu,samgubitz Top Word Pairs in Tweet in G8:
[23] #apsa2019,panel [21] check,out [20] studying,conflict [14] mini,thread [13] human,rights [11] chris,sullivan [11] discussants,janinadill [11] janinadill,brookeackerly [11] excited,present [10] conflict,hard Top Word Pairs in Tweet in G9:
[27] come,see [20] #apsa2019,paper [18] immigration,attitudes [18] see,#apsa2019 [15] civ,mil [13] celebrate,#apsa2019 [13] #apsa2019,posted [13] posted,2018 [13] 2018,cces [13] cces,vote Top Word Pairs in Tweet in G10:
[22] booth,104 [19] nothing,attending [19] attending,conference [19] conference,august [19] august,humid [19] humid,af [19] af,dc [19] dc,make [19] make,pity [19] pity,men 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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