The graph represents a network of 1,104 Twitter users whose recent tweets contained "#APSA2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/1/2023 12:00:00 AM and 9/11/2023 9:36:50 AM. The network was obtained from Twitter on Monday, 11 September 2023 at 07:53 UTC.
The tweets in the network were tweeted over the 121-day, 8-hour, 50-minute period from Saturday, 13 May 2023 at 01:02 UTC to Monday, 11 September 2023 at 09:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1104
Unique Edges : 1677
Edges With Duplicates : 1081
Total Edges : 2758
Number of Edge Types : 9
Retweet : 767
Mentions : 458
MentionsInRetweet : 822
Tweet : 187
Quote : 53
Replies to : 63
MentionsInQuote : 42
MentionsInReplyTo : 357
MentionsInQuoteReply : 9
Self-Loops : 348
Reciprocated Vertex Pair Ratio : 0.0643415514131088
Reciprocated Edge Ratio : 0.12090395480226
Connected Components : 92
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 887
Maximum Edges in a Connected Component : 2472
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.660068
Graph Density : 0.00145354566597028
Modularity : 0.543303
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 1,104 Twitter users whose recent tweets contained "#APSA2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 9/1/2023 12:00:00 AM and 9/11/2023 9:36:50 AM. The network was obtained from Twitter on Monday, 11 September 2023 at 07:53 UTC.
The tweets in the network were tweeted over the 121-day, 8-hour, 50-minute period from Saturday, 13 May 2023 at 01:02 UTC to Monday, 11 September 2023 at 09:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : #APSA2023
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:
[157] back,entrance [156] browne,center [155] telling,people [155] penn,telling [155] entrance,struck [155] center,penn [155] fyi,browne [155] people,sneak [155] around,back [155] venue,avoiding Top Word Pairs in Tweet in G1:
[148] center,penn [148] around,back [148] entrance,struck [148] struck,venue [148] back,entrance [148] sneak,around [148] penn,telling [148] fyi,browne [148] telling,people [148] browne,center Top Word Pairs in Tweet in G2:
[44] democratic,backsliding [43] snapshot,paper [43] #apsa2023,pp [43] cultural,roots [43] today,cultural [43] here's,#apsa2023 [43] slides,snapshot [43] roots,democratic [43] paper,today [43] pp,slides Top Word Pairs in Tweet in G3:
[29] kennedy_school,harvardash [29] harvard,kennedy_school [25] stanford,cddstanford [23] apsa_deminno,harvard [23] cddstanford,apsatweets [23] psademocracy,demoinno [23] harvardash,stanford [23] demoinno,demsoc [23] apsatweets,psademocracy [22] future,directions Top Word Pairs in Tweet in G4:
[14] #apsa2023,apsatweets [14] lacc,411 [11] 00,lacc [10] 411,film [9] political,science [9] panel,#apsa2023 [9] apsatweets,#apsa2023 [8] exhibit,hall [8] lacc,exhibit [7] annual,meeting Top Word Pairs in Tweet in G5:
[29] persuasion,parallel [29] #apsa2023,light [29] strike,canceled [29] panel,#apsa2023 [29] author,meets [29] light,strike [29] critics,panel [29] meets,critics [29] parallel,slated [29] slated,author Top Word Pairs in Tweet in G6:
[3] free,read [3] learn,more [3] #apsa2023,collection [3] convention,center [3] read,chapter [2] consider,submitting [2] centre,florence [2] next,year [2] migration,policy [2] foreign,policy Top Word Pairs in Tweet in G7:
[8] democratic,backsliding [4] forget,visit [4] interesting,session [4] session,#apsa2023 [4] great,turnout [4] contentious,roundtable [4] ps_polisci,round [4] round,table [4] turnout,stimulating [4] backsliding,apsatweets Top Word Pairs in Tweet in G8:
[13] department,went [13] #covid,make [13] wonder,whether [13] went,#apsa2023 [13] folks,department [13] make,wonder [13] #apsa2023,#covid [13] enough,folks [12] claireadida,enough [9] political,science Top Word Pairs in Tweet in G9:
[8] presenting,research [8] session,10 [8] undergrad,research [8] jabateh,presenting [8] grads,sekou [8] sekou,jabateh [8] research,22 [8] one,top [8] #apsa2023,undergrad [8] research,session Top Word Pairs in Tweet in G10:
[12] #apsa2023,panel [6] protection,developing [6] carmenjho_,josephwongut [6] panel,social [6] countries,carmenjho_ [6] tomorrow,#apsa2023 [6] developing,countries [6] social,protection [6] join,tomorrow [5] trials,coauthored 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 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: