The graph represents a network of 4,515 Twitter users whose recent tweets contained "APSA", 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, 12 September 2020 at 19:15 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 21-minute period from Friday, 04 September 2020 at 01:36 UTC to Saturday, 12 September 2020 at 18:58 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 : 4515
Unique Edges : 10457
Edges With Duplicates : 4336
Total Edges : 14793
Number of Edge Types : 5
Replies to : 1252
Mentions : 3751
Retweet : 3354
Tweet : 1115
MentionsInRetweet : 5321
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.0820823710546574
Reciprocated Edge Ratio : 0.151711871943086
Connected Components : 457
Single-Vertex Connected Components : 198
Maximum Vertices in a Connected Component : 2617
Maximum Edges in a Connected Component : 11096
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.779859
Graph Density : 0.000551747215872264
Modularity : 0.571302
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,515 Twitter users whose recent tweets contained "APSA", 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, 12 September 2020 at 19:15 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 21-minute period from Friday, 04 September 2020 at 01:36 UTC to Saturday, 12 September 2020 at 18:58 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : APSA
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[404] first,time [385] apsa,kuch [385] openbook,exam [384] rahulgandhi,first [384] time,youths [384] youths,apsa [384] kuch,request [384] request,kra [384] kra,ki [384] ki,rajasthan Top Word Pairs in Tweet in G1:
[139] political,science [57] spread,word [56] 00,mdt [50] politics,section [49] 30,pm [49] please,join [47] best,paper [44] apsa,2020 [43] job,market [39] apsa,panel Top Word Pairs in Tweet in G2:
[85] #apsa2020,paper [67] apsa,panel [52] apsatweets,conference [52] explore,full [52] full,#apsa2020 [52] #apsa2020,collection [48] book,chapters [46] free,explore [46] uploaded,apsa_preprints [45] collection,articles Top Word Pairs in Tweet in G3:
[384] rahulgandhi,first [384] first,time [384] time,youths [384] youths,apsa [384] apsa,kuch [384] kuch,request [384] request,kra [384] kra,ki [384] ki,rajasthan [384] rajasthan,openbook Top Word Pairs in Tweet in G4:
[73] social,media [42] 30pm,edt [38] apsa_itp,#apsa2020 [36] book,award [33] poli_com,apsa [33] best,book [31] looking,forward [31] last,year [31] mentally,checked [31] checked,apsa Top Word Pairs in Tweet in G5:
[44] #apsa2020,#polisciresearch [42] #polisciresearch,#apsa2020 [29] labor,politics [28] having,stronger [28] stronger,impact [22] related,groups [21] virtual,apsa [21] attitudes,toward [20] intraparty,factions [16] 30pm,mdt Top Word Pairs in Tweet in G6:
[14] apsa,projetos [13] binóculo,cultural [10] cultural,apsa [6] political,science [5] association,apsa [5] virtual,apsa [5] apsa,virtual [5] apsa,panels [5] 30,pm [4] attending,apsa Top Word Pairs in Tweet in G7:
[44] apsacaa,apsa [15] raymndd___,vanillaxchoco [15] vanillaxchoco,terlalubucinn [15] terlalubucinn,dhndjov [15] dhndjov,toplse [13] saltsugartzt,bayukime [12] _akudindaa,ordinaryykidd [12] youradrble,raymndd___ [12] pizcesian,cikxixi [12] toplse,hxsaydans Top Word Pairs in Tweet in G8:
[20] mid,career [14] th,10 [14] 10,sept [13] 3pm,ct [12] sept,11ct [11] wed,sept [10] honored,shocked [10] shocked,share [10] share,received [10] received,david Top Word Pairs in Tweet in G9:
[8] rhodes,university [7] yolishade,apsa_songongo [6] yolanda,dyantyi [6] apsa_songongo,afriforum [4] nyda,board [4] friends,someone [4] apsa_songongo,lol [3] flo_letoaba,clicks_sa [3] parking,lot [3] help,please Top Word Pairs in Tweet in G10:
[8] guàrdia,civil [6] president,krls [6] tots,els [4] acolgau,quimtorraipla [4] presidenta,forcadellcarme [4] conseller,joseprull [4] bona,diada [4] diada,nacional [4] nacional,catalunya [4] presidenta,parlament Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: