The graph represents a network of 1,524 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 8/29/2023 12:00:00 AM and 9/5/2023 8:58:55 AM. The network was obtained from Twitter on Tuesday, 05 September 2023 at 17:28 UTC.
The tweets in the network were tweeted over the 231-day, 13-hour, 54-minute period from Tuesday, 17 January 2023 at 00:56 UTC to Tuesday, 05 September 2023 at 14:50 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 : 1524
Unique Edges : 2420
Edges With Duplicates : 1562
Total Edges : 3982
Number of Edge Types : 9
Retweet : 1207
MentionsInRetweet : 1132
Tweet : 320
Mentions : 689
MentionsInQuote : 64
Quote : 89
Replies to : 81
MentionsInReplyTo : 383
MentionsInQuoteReply : 17
Self-Loops : 546
Reciprocated Vertex Pair Ratio : 0.0704166666666667
Reciprocated Edge Ratio : 0.131568703775788
Connected Components : 105
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 1300
Maximum Edges in a Connected Component : 3692
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.657237
Graph Density : 0.00110682569800246
Modularity : 0.534609
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 1,524 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 8/29/2023 12:00:00 AM and 9/5/2023 8:58:55 AM. The network was obtained from Twitter on Tuesday, 05 September 2023 at 17:28 UTC.
The tweets in the network were tweeted over the 231-day, 13-hour, 54-minute period from Tuesday, 17 January 2023 at 00:56 UTC to Tuesday, 05 September 2023 at 14:50 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:
[154] back,entrance [153] browne,center [152] telling,people [152] penn,telling [152] entrance,struck [152] center,penn [152] fyi,browne [152] people,sneak [152] around,back [152] venue,avoiding Top Word Pairs in Tweet in G1:
[151] back,entrance [150] browne,center [149] penn,telling [149] telling,people [149] struck,venue [149] entrance,struck [149] around,back [149] people,sneak [149] center,penn [149] sneak,around Top Word Pairs in Tweet in G2:
[35] meets,critics [35] author,meets [30] apsatweets,author [28] critics,session [27] latest,issue [25] political,science [24] cup_polisci,join [23] september,2023 [23] uploaded,apsa_preprints [23] mini,conference Top Word Pairs in Tweet in G3:
[29] dimitricourant,apsa_deminno [28] harvard,kennedy_school [28] kennedy_school,harvardash [24] stanford,cddstanford [23] democratic,innovations [22] apsa_deminno,harvard [22] demoinno,demsoc [22] psademocracy,demoinno [22] harvardash,stanford [22] cddstanford,apsatweets Top Word Pairs in Tweet in G4:
[39] democratic,backsliding [38] snapshot,paper [38] cultural,roots [38] today,cultural [38] roots,democratic [38] pp,slides [38] #apsa2023,pp [38] here's,#apsa2023 [38] paper,today [38] backsliding,work Top Word Pairs in Tweet in G5:
[5] political,science [3] panel,#apsa2023 [3] science,association [3] first,time [3] american,political [3] picket,line [2] meeting,#apsa2023 [2] time,#apsa2023 [2] gt,conference [2] democratic,backsliding Top Word Pairs in Tweet in G6:
[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 [14] book,panel Top Word Pairs in Tweet in G7:
[15] #apsa2023,panel [12] political,economy [9] economy,europe [9] europe,pre [9] pre,conference [8] virtual,#apsa2023 [7] protection,developing [7] carmenjho_,josephwongut [7] panel,social [7] countries,carmenjho_ Top Word Pairs in Tweet in G8:
[15] internatltheory,#openaccess [10] political,science [8] articles,found [8] 2023,articles [8] week,6th [8] found,#apsa2023 [8] 6th,september [8] publication,internatltheory [8] next,week [8] september,2023 Top Word Pairs in Tweet in G9:
[5] presenting,paper [5] day,#apsa2023 [5] #apsa2023,miss [5] gld,fellow [4] money,politics [4] forget,visit [4] interesting,session [4] session,#apsa2023 [4] contentious,roundtable [4] personality,traits Top Word Pairs in Tweet in G10:
[13] political,communication [13] issue,computational [13] computational,propaganda [13] south,sure [13] sure,lots [13] communication,special [13] special,issue [13] global,south [13] lots,great [13] propaganda,global 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 G8:
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: