The graph represents a network of 5,182 Twitter users whose recent tweets contained "APSA", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 20:52 UTC.
The tweets in the network were tweeted over the 3252-day, 10-hour, 59-minute period from Monday, 14 April 2014 at 13:45 UTC to Saturday, 11 March 2023 at 00:45 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 : 5182
Unique Edges : 3818
Edges With Duplicates : 10252
Total Edges : 14070
Number of Edge Types : 9
Tweet : 1174
Retweet : 2314
MentionsInRetweet : 3473
Mentions : 1238
Replies to : 1971
MentionsInReplyTo : 3476
Quote : 194
MentionsInQuote : 210
MentionsInQuoteReply : 20
Self-Loops : 1536
Reciprocated Vertex Pair Ratio : 0.0892741412832145
Reciprocated Edge Ratio : 0.163914918934999
Connected Components : 1045
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 1667
Maximum Edges in a Connected Component : 5676
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.781296
Graph Density : 0.000250410254908924
Modularity : 0.446885
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,182 Twitter users whose recent tweets contained "APSA", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 20:52 UTC.
The tweets in the network were tweeted over the 3252-day, 10-hour, 59-minute period from Monday, 14 April 2014 at 13:45 UTC to Saturday, 11 March 2023 at 00:45 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 : TwitterSearch2
Graph Term : APSA
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:
[117] mentoring,workshop [114] political,science [111] uploaded,apsa_preprints [108] virtual,mentoring [104] apsa,women [101] 2023,apsa [96] paper,uploaded [94] #apsatlc,2023 [92] women,non [91] identify,women Top Word Pairs in Tweet in G1:
[111] uploaded,apsa_preprints [96] paper,uploaded [94] #apsatlc,2023 [94] mentoring,workshop [93] apsa,women [88] 2023,paper [87] virtual,mentoring [82] women,non [80] binary,genderqueer [80] 2023,apsa Top Word Pairs in Tweet in G2:
[14] february,12 [14] virtual,mentoring [14] mentoring,workshop [12] deadline,february [12] chahta,hoon [11] women's,research [11] apply,apsa [11] apsa,women's [11] 12,#mentoring [11] research,virtual Top Word Pairs in Tweet in G3:
[28] md,phd [25] aap,asci [25] regional,meeting [25] asci,apsa [22] joint,meeting [22] apsa,joint [17] apsa,midwest [16] the_asci,young [16] 2023,aap [16] apsa,leadership Top Word Pairs in Tweet in G4:
[74] freeway,league [71] sohs,girls [69] sohs_apsa,sohs [37] sohs_apsa,sonoraraiders [36] sohs,boys [33] kiki,graham [32] james_escarcega,ocvarsityguy [26] fjuhsd,james_escarcega [26] team,freeway [26] girls,overcame Top Word Pairs in Tweet in G5:
[8] psademocracy,apsa_deminno [7] foreign,policy [5] policy,very [5] rikki_dean,psademocracy [5] apsa_deminno,hanna_pfeifer [5] timely,given [5] participation,foreign [5] interesting,project [5] neglected,area [5] very,timely Top Word Pairs in Tweet in G6:
[18] europe,consider [17] phd,complete [17] nomination,apsa [17] ernst,haas [17] apsa,ernst [17] consider,nomination [17] complete,dissertation [17] dissertation,europe [17] haas,dissertation [16] kleine_m,phd Top Word Pairs in Tweet in G7:
[33] rpr_journal,part [28] rpr_journal,rpr [25] part,upcoming [20] intelligence,#ai [20] upcoming,artificial [20] artificial,intelligence [20] ingaulnicane,erkkilä [20] #ai,ingaulnicane [18] multiple,streams [17] wileypolitics,policystudies Top Word Pairs in Tweet in G8:
[26] african,institutions [26] early,career [26] career,scholars [26] applications,2023 [26] scholars,african [26] 2023,research [26] call,applications [26] development,group [26] institutions,submission [26] research,development Top Word Pairs in Tweet in G9:
[48] close,zelenskyy [48] officials,close [48] pm,corroborates [48] ukrainian,officials [48] israeli,pm [48] british,prime [48] revealed,british [48] corroborates,apsa [48] zelenskyy,revealed [48] study,ukrainian Top Word Pairs in Tweet in G10:
[32] african,peace [23] peace,security [17] security,architecture [16] architecture,apsa [15] apsa,set [15] legislation,procedures [15] set,institutions [15] institutions,legislation [15] procedures,prevention [15] private,sector Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: