The graph represents a network of 1,722 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 8/1/2023 12:00:00 AM and 9/4/2023 11:17:03 AM. The network was obtained from Twitter on Monday, 04 September 2023 at 18:51 UTC.
The tweets in the network were tweeted over the 1461-day, 16-hour, 5-minute period from Wednesday, 04 September 2019 at 02:09 UTC to Monday, 04 September 2023 at 18:15 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 : 1722
Unique Edges : 2665
Edges With Duplicates : 1820
Total Edges : 4485
Number of Edge Types : 9
Retweet : 1229
Mentions : 903
MentionsInRetweet : 1136
Tweet : 411
Replies to : 107
Quote : 162
MentionsInQuote : 125
MentionsInReplyTo : 392
MentionsInQuoteReply : 20
Self-Loops : 676
Reciprocated Vertex Pair Ratio : 0.0683111954459203
Reciprocated Edge Ratio : 0.127886323268206
Connected Components : 139
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1466
Maximum Edges in a Connected Component : 4161
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.517895
Graph Density : 0.000949870459939762
Modularity : 0.518636
NodeXL Version : 1.0.1.520
Data Import : The graph represents a network of 1,722 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 8/1/2023 12:00:00 AM and 9/4/2023 11:17:03 AM. The network was obtained from Twitter on Monday, 04 September 2023 at 18:51 UTC.
The tweets in the network were tweeted over the 1461-day, 16-hour, 5-minute period from Wednesday, 04 September 2019 at 02:09 UTC to Monday, 04 September 2023 at 18:15 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[151] back,entrance [150] browne,center [149] telling,people [149] penn,telling [149] entrance,struck [149] center,penn [149] fyi,browne [149] people,sneak [149] around,back [149] venue,avoiding Top Word Pairs in Tweet in G1:
[147] browne,center [147] back,entrance [146] venue,avoiding [146] sneak,around [146] penn,telling [146] around,back [146] telling,people [146] struck,venue [146] center,penn [146] fyi,browne Top Word Pairs in Tweet in G2:
[46] working,paper [43] uploaded,apsa_preprints [42] paper,uploaded [42] #apsa2023,working [35] meets,critics [35] author,meets [32] latest,issue [31] political,science [29] apsatweets,author [28] apsatweets,#apsa2023 Top Word Pairs in Tweet in G3:
[29] dimitricourant,apsa_deminno [28] kennedy_school,harvardash [28] harvard,kennedy_school [24] stanford,cddstanford [22] apsa_deminno,harvard [22] democratic,innovations [22] cddstanford,apsatweets [22] psademocracy,demoinno [22] harvardash,stanford [22] demoinno,demsoc Top Word Pairs in Tweet in G4:
[6] political,science [4] science,association [4] first,time [4] looking,forward [4] annual,meeting [4] american,political [4] picket,line [2] meeting,#apsa2023 [2] time,#apsa2023 [2] risk,future Top Word Pairs in Tweet in G5:
[11] #apsa2023,panel [8] booth,321 [8] study,racial [8] virtual,#apsa2023 [8] panel,saturday [8] multidimensionality,measurement [8] 4pm,multidimensionality [8] saturday,4pm [8] measurement,study [8] check,virtual Top Word Pairs in Tweet in G6:
[12] look,forward [9] violence,democracies [9] link,submitting [9] democracies,link [9] proposals,need [9] workshop,political [9] need,more [9] political,violence [9] submitting,proposals [8] neerajprsd,workshop Top Word Pairs in Tweet in G7:
[19] political,science [14] receive,news [14] happening,site [14] workshops,happening [14] abt,monkeycageblog [14] news,abt [14] see,abt [14] #apsa2023,workshops [14] prob,invite [14] invite,receive Top Word Pairs in Tweet in G8:
[15] #apsa2023,panel [13] political,economy [10] pre,conference [9] virtual,#apsa2023 [9] europe,pre [9] economy,europe [7] protection,developing [7] #apsa2023,great [7] join,tomorrow [7] carmenjho_,josephwongut Top Word Pairs in Tweet in G9:
[39] purduelibarts,#purduepoliticalscience [37] #apsa2023,presentation [33] coming,soon [17] miss,exciting [17] #apsa2023,purduelibarts [17] don,miss [17] exciting,presentation [16] check,#apsa2023 [15] soon,#apsa2023 [13] purduepolsci,coming Top Word Pairs in Tweet in G10:
[38] democratic,backsliding [37] pp,slides [37] today,cultural [37] cultural,roots [37] roots,democratic [37] snapshot,paper [37] paper,today [37] backsliding,work [37] here's,#apsa2023 [37] slides,snapshot Top Replied-To in Entire Graph:
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Top Replied-To in G2:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: