The graph represents a network of 3,571 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 Thursday, 10 September 2020 at 18:29 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 45-minute period from Tuesday, 01 September 2020 at 21:21 UTC to Thursday, 10 September 2020 at 18:06 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 : 3669
Unique Edges : 7928
Edges With Duplicates : 34017
Total Edges : 41945
Number of Edge Types : 5
Mentions : 31964
Replies to : 2503
Tweet : 1659
Retweet : 2227
MentionsInRetweet : 3592
Self-Loops : 1683
Reciprocated Vertex Pair Ratio : 0.142169728783902
Reciprocated Edge Ratio : 0.248946763692072
Connected Components : 448
Single-Vertex Connected Components : 168
Maximum Vertices in a Connected Component : 2058
Maximum Edges in a Connected Component : 29504
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.977876
Graph Density : 0.000776050216482641
Modularity : 0.201001
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,571 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 Thursday, 10 September 2020 at 18:29 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 45-minute period from Tuesday, 01 September 2020 at 21:21 UTC to Thursday, 10 September 2020 at 18:06 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[189] political,science [160] raymndd___,vanillaxchoco [160] vanillaxchoco,terlalubucinn [160] terlalubucinn,dhndjov [160] dhndjov,toplse [146] pizcesian,cikxixi [142] saltsugartzt,bayukime [141] cikxixi,_p0nyta [137] lunoxcantikkk,youradrble [132] bayukime,lunoxcantikkk Top Word Pairs in Tweet in G1:
[127] political,science [102] #apsa2020,paper [59] spread,word [48] job,market [44] politics,section [42] apsa,2020 [42] uploaded,apsa_preprints [41] explore,full [41] full,#apsa2020 [41] #apsa2020,collection Top Word Pairs in Tweet in G2:
[48] political,communication [44] social,media [30] political,participation [29] jason_gainous,prof_vaccari [29] last,year [29] mentally,checked [29] checked,apsa [28] poli_com,apsa [28] year,mentally [25] #apsa2020,#apsa20 Top Word Pairs in Tweet in G3:
[33] apsa,panel [30] please,join [30] espen_g_roed,apsa_itp [23] nils_weidmann,espen_g_roed [22] book,award [22] apsatweets,panel [21] best,book [21] one,lucky [21] lucky,departments [21] departments,hire Top Word Pairs in Tweet in G4:
[160] raymndd___,vanillaxchoco [160] vanillaxchoco,terlalubucinn [160] terlalubucinn,dhndjov [160] dhndjov,toplse [146] pizcesian,cikxixi [142] saltsugartzt,bayukime [141] cikxixi,_p0nyta [137] lunoxcantikkk,youradrble [132] bayukime,lunoxcantikkk [130] youradrble,raymndd___ Top Word Pairs in Tweet in G5:
[24] mid,career [18] th,10 [18] 10,sept [18] legislative,effectiveness [18] non,partisan [18] partisan,voting [18] voting,billboards [18] billboards,increased [18] increased,voter [18] voter,turnout Top Word Pairs in Tweet in G6:
[30] class,inequality [30] political,economy [28] apsa,class [26] best,paper [24] paper,award [23] presenting,paper [21] folks,interested [21] interested,presenting [21] paper,role [21] role,technological Top Word Pairs in Tweet in G7:
[11] apsa,projetos [10] binóculo,cultural [9] covid,19 [7] cultural,apsa [5] virtual,apsa [4] soup,nazi [4] political,science [4] apsa,panel [4] attending,apsa [4] #covid19,#univen Top Word Pairs in Tweet in G8:
[8] yolishade,apsa_songongo [6] rhodes,university [6] apsa_songongo,afriforum [5] apsa_songongo,lol [4] old,lady [4] nyda,board [4] yolanda,dyantyi [3] grahamstown,high [3] flo_letoaba,clicks_sa [3] jamnandas1,yolishade Top Word Pairs in Tweet in G9:
[11] miss,#unuwider [11] #unuwider,panel [11] clientelist,politics [11] kunalsen5,maricalobue [11] maricalobue,staffanilindber [11] staffanilindber,miguelninoz [11] miguelninoz,lwantchekon [8] virtual,conference [7] panel,today [7] k_stauffer,djoestenmartin Top Word Pairs in Tweet in G10:
[54] sitaron,ke [54] ke,aage [54] aage,bhi [54] bhi,koi [54] koi,jahan [54] jahan,hoga [54] hoga,jo [54] jo,dekha [54] dekha,kabhi [54] kabhi,woh Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: