The graph represents a network of 1,512 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 30,000 tweets, tweeted between 8/30/2023 12:00:00 AM and 9/6/2023 2:07:44 PM. The network was obtained from Twitter on Wednesday, 06 September 2023 at 21:33 UTC.
The tweets in the network were tweeted over the 232-day, 20-hour, 2-minute period from Tuesday, 17 January 2023 at 00:56 UTC to Wednesday, 06 September 2023 at 20:58 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 : 1512
Unique Edges : 2383
Edges With Duplicates : 1507
Total Edges : 3890
Number of Edge Types : 9
Retweet : 1181
MentionsInRetweet : 1099
Tweet : 308
Mentions : 669
MentionsInQuote : 64
Quote : 87
Replies to : 81
MentionsInReplyTo : 384
MentionsInQuoteReply : 17
Self-Loops : 531
Reciprocated Vertex Pair Ratio : 0.0700339558573854
Reciprocated Edge Ratio : 0.130900436334788
Connected Components : 102
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 1292
Maximum Edges in a Connected Component : 3608
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.720836
Graph Density : 0.00110345998830446
Modularity : 0.539457
NodeXL Version : 1.0.1.521
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292387
Data Import : The graph represents a network of 1,512 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 30,000 tweets, tweeted between 8/30/2023 12:00:00 AM and 9/6/2023 2:07:44 PM. The network was obtained from Twitter on Wednesday, 06 September 2023 at 21:33 UTC.
The tweets in the network were tweeted over the 232-day, 20-hour, 2-minute period from Tuesday, 17 January 2023 at 00:56 UTC to Wednesday, 06 September 2023 at 20:58 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:
[160] back,entrance [159] browne,center [158] telling,people [158] penn,telling [158] entrance,struck [158] center,penn [158] fyi,browne [158] people,sneak [158] around,back [158] venue,avoiding Top Word Pairs in Tweet in G1:
[156] back,entrance [155] browne,center [154] penn,telling [154] telling,people [154] struck,venue [154] entrance,struck [154] around,back [154] people,sneak [154] center,penn [154] sneak,around Top Word Pairs in Tweet in G2:
[34] meets,critics [34] author,meets [30] apsatweets,author [28] critics,session [24] cup_polisci,join [23] political,science [21] september,2023 [18] paper,uploaded [18] latest,issue [18] uploaded,apsa_preprints Top Word Pairs in Tweet in G3:
[29] dimitricourant,apsa_deminno [28] kennedy_school,harvardash [28] harvard,kennedy_school [24] stanford,cddstanford [23] democratic,innovations [22] apsa_deminno,harvard [22] cddstanford,apsatweets [22] future,directions [22] research,future [22] psademocracy,demoinno Top Word Pairs in Tweet in G4:
[16] left,politics [16] transformation,left [16] politics,#apsa2023 [13] mini,conference [12] come,join [12] apsa,mini [12] conference,politics [12] co,organised [12] countries,co [12] tomorrow,apsa Top Word Pairs in Tweet in G5:
[40] democratic,backsliding [39] snapshot,paper [39] cultural,roots [39] today,cultural [39] roots,democratic [39] pp,slides [39] #apsa2023,pp [39] here's,#apsa2023 [39] paper,today [39] backsliding,work Top Word Pairs in Tweet in G6:
[14] global,south [13] political,communication [13] issue,computational [13] computational,propaganda [13] south,sure [13] sure,lots [13] communication,special [13] special,issue [13] lots,great [13] propaganda,global Top Word Pairs in Tweet in G7:
[39] purduelibarts,#purduepoliticalscience [37] #apsa2023,presentation [33] coming,soon [17] exciting,presentation [17] don,miss [17] #apsa2023,purduelibarts [17] miss,exciting [16] check,#apsa2023 [15] soon,#apsa2023 [13] book,panel Top Word Pairs in Tweet in G8:
[5] political,science [3] science,association [3] first,time [3] american,political [2] meeting,#apsa2023 [2] time,#apsa2023 [2] gt,conference [2] panel,#apsa2023 [2] democratic,backsliding [2] first,#apsa2023 Top Word Pairs in Tweet in G9:
[10] department,went [10] #covid,make [10] wonder,whether [10] went,#apsa2023 [10] folks,department [10] make,wonder [10] #apsa2023,#covid [10] enough,folks [9] political,science [9] #apsa2023,panel Top Word Pairs in Tweet in G10:
[5] day,#apsa2023 [5] presenting,paper [4] present,research [4] visit,booth [4] roundtable,democratic [4] backsliding,anthlittle [4] personality,traits [4] money,politics [4] gld,fellow [4] contentious,roundtable Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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