The graph represents a network of 2,309 Twitter users whose recent tweets contained "#APSA2020", 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 Friday, 11 September 2020 at 18:53 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 16-minute period from Wednesday, 02 September 2020 at 20:29 UTC to Friday, 11 September 2020 at 18:45 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 : 2309
Unique Edges : 6654
Edges With Duplicates : 2463
Total Edges : 9117
Number of Edge Types : 5
Mentions : 1775
MentionsInRetweet : 4208
Retweet : 2467
Tweet : 586
Replies to : 81
Self-Loops : 603
Reciprocated Vertex Pair Ratio : 0.0865617433414044
Reciprocated Edge Ratio : 0.15933147632312
Connected Components : 101
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 2129
Maximum Edges in a Connected Component : 8882
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.832858
Graph Density : 0.0013473012317861
Modularity : 0.54139
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,309 Twitter users whose recent tweets contained "#APSA2020", 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 Friday, 11 September 2020 at 18:53 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 16-minute period from Wednesday, 02 September 2020 at 20:29 UTC to Friday, 11 September 2020 at 18:45 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 : #APSA2020
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:
[355] #apsa2020,panel [343] political,science [182] virtual,#apsa2020 [173] #apsa2020,paper [143] looking,forward [139] social,media [118] panel,applying [116] here's,thread [114] went,#apsa2020 [114] applying,jobs Top Word Pairs in Tweet in G1:
[149] political,science [99] #apsa2020,panel [63] #polcom,#apsa2020 [50] #apsa2020,workshop [49] looking,forward [48] social,media [46] faculty,color [41] apsa_itp,#apsa2020 [40] apsatweets,poli_com [37] virtual,#apsa2020 Top Word Pairs in Tweet in G2:
[58] attend,#apsa2020 [53] emailed,apsatweets [53] apsatweets,see [53] see,fee [53] fee,waiver [53] waiver,attend [53] #apsa2020,online [53] online,meetings [53] meetings,tunisia [53] tunisia,international Top Word Pairs in Tweet in G3:
[93] #apsa2020,paper [46] #apsa2020,#eisapec20 [46] explore,full [46] full,#apsa2020 [46] #apsa2020,collection [45] apsatweets,conference [45] book,chapters [43] first,chapter [43] #bjpols50,#apsa2020 [42] collection,articles Top Word Pairs in Tweet in G4:
[111] #apsa2020,panel [89] here's,thread [88] went,#apsa2020 [88] panel,applying [88] applying,jobs [88] jobs,teaching [88] teaching,oriented [88] oriented,institutions [88] institutions,something [88] something,many Top Word Pairs in Tweet in G5:
[43] social,media [28] media,ad [28] ad,campaign [28] campaign,emphasising [28] emphasising,vote [28] vote,matters [28] matters,effective [28] effective,registering [28] registering,young [28] young,people Top Word Pairs in Tweet in G6:
[42] virtual,#apsa2020 [41] social,media [37] joining,virtual [37] #apsa2020,check [37] check,awesome [37] awesome,project [37] project,led [37] led,ws_schulz [37] ws_schulz,andyguess [37] andyguess,examines Top Word Pairs in Tweet in G7:
[18] virtual,#apsa2020 [14] #apsa2020,time [14] 2pm,mdt [13] grad,students [12] time,junior [12] junior,scholars [12] scholars,grad [12] students,amp [12] amp,untenured [12] untenured,presenting Top Word Pairs in Tweet in G8:
[26] #apsa2020,panel [12] today,2pm [12] tomorrow,#apsa2020 [12] #apsa2020,9am [12] 9am,ct [12] ct,politics [12] politics,control [12] control,resistance [12] resistance,violent [12] violent,contexts Top Word Pairs in Tweet in G9:
[5] #apsa2020,panel [4] political,science [3] virtual,#apsa2020 [3] #apsa2020,panels [2] monetary,systems [2] systems,fall [2] fall,apart [2] #polcom,#apsa2020 [2] attend,#apsa2020 [2] make,sure Top Word Pairs in Tweet in G10:
[28] job,alert [28] alert,time [28] time,#apsa2020 [28] #apsa2020,brenucsb [28] brenucsb,hiring [28] hiring,environmental [28] environmental,data [28] data,science [28] science,program [28] program,very 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 G7:
Top Replied-To in G8:
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: