The graph represents a network of 15,495 Twitter users whose recent tweets contained "APEC", 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 11/1/2023 12:00:00 AM and 11/13/2023 7:12:47 AM. The network was obtained from Twitter on Monday, 13 November 2023 at 20:17 UTC.
The tweets in the network were tweeted over the 2554-day, 2-hour, 36-minute period from Tuesday, 15 November 2016 at 12:35 UTC to Monday, 13 November 2023 at 15:12 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 : 15495
Unique Edges : 19007
Edges With Duplicates : 6568
Total Edges : 25575
Number of Edge Types : 9
Retweet : 14145
MentionsInRetweet : 2215
Mentions : 956
Tweet : 3944
Replies to : 1791
Quote : 466
MentionsInReplyTo : 1681
MentionsInQuoteReply : 121
MentionsInQuote : 256
Self-Loops : 4497
Reciprocated Vertex Pair Ratio : 0.00500217485863419
Reciprocated Edge Ratio : 0.00995455529106254
Connected Components : 2302
Single-Vertex Connected Components : 1738
Maximum Vertices in a Connected Component : 11244
Maximum Edges in a Connected Component : 20192
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.795113
Graph Density : 7.69911537231017E-05
Modularity : 0.691644
NodeXL Version : 1.0.1.526
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292958
Data Import : The graph represents a network of 15,495 Twitter users whose recent tweets contained "APEC", 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 11/1/2023 12:00:00 AM and 11/13/2023 7:12:47 AM. The network was obtained from Twitter on Monday, 13 November 2023 at 20:17 UTC.
The tweets in the network were tweeted over the 2554-day, 2-hour, 36-minute period from Tuesday, 15 November 2016 at 12:35 UTC to Monday, 13 November 2023 at 15:12 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 : APEC
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:
[4930] san,francisco [1934] apec,summit [1356] ม,apec [1296] อนข,นเคร [1296] ก,อนข [1080] นเคร,องเด [1080] องเด,นทางไปประช [1080] apec,ผมเช [1080] นทางไปประช,ม [1049] xi,jinping Top Word Pairs in Tweet in G1:
[785] san,francisco [328] united,states [299] alexlau,apec [198] states,host [161] host,year [155] apec,economic [152] host,apec [149] few,days [147] guess,united [147] asked,guess Top Word Pairs in Tweet in G2:
[937] san,francisco [639] apec,summit [369] xi,jinping [285] united,states [226] asia,pacific [186] president,xi [160] economic,cooperation [154] joe,biden [145] pacific,economic [138] china,united Top Word Pairs in Tweet in G3:
[321] apec,summit [236] san,francisco [176] apec,峰会 [166] biden,xi [165] 参加亚太经济合作组织,apec [164] sidelines,apec [163] xi,meeting [163] meeting,sf [163] sf,week [163] summit,referred Top Word Pairs in Tweet in G4:
[424] nfscspeak,breaking [355] breaking,reported [352] biden,meet [350] arrest,made [350] event,zone [350] near,apec [350] apec,event [349] xi,biden [346] zone,xi [346] reported,arrest Top Word Pairs in Tweet in G5:
[744] ม,apec [687] อนข,นเคร [687] ก,อนข [569] องเด,นทางไปประช [569] apec,ผมเช [569] นเคร,องเด [569] นทางไปประช,ม [564] ค,อ [564] มเพ,อต [564] ญหน,วยงานท Top Word Pairs in Tweet in G6:
[520] apec,event [512] event,zone [511] charged,federally [511] arrest,made [510] made,around [509] near,apec [508] zone,charged [508] federally,sfpd [508] patrol,national [508] around,near Top Word Pairs in Tweet in G7:
[605] อนข,นเคร [605] ก,อนข [604] ม,apec [580] า,ก [509] นเคร,องเด [509] apec,ผมเช [509] องเด,นทางไปประช [509] นทางไปประช,ม [498] อ,กแล [498] บ,ท Top Word Pairs in Tweet in G8:
[264] san,francisco [222] drug,addicts [199] homeless,waxed [199] addicts,homeless [199] francisco,metro [199] station,lot [199] floor,cleaned [199] waxed,floor [199] metro,station [199] removed,drug Top Word Pairs in Tweet in G9:
[134] san,francisco [129] president,xi [102] apec,economic [101] economic,leaders' [99] leaders',meeting [91] china,summit [83] 30th,apec [78] summit,meeting [71] meeting,30th [61] xi,attend Top Word Pairs in Tweet in G10:
[77] ichibei_q,rippleが今回のapecスポンサー [68] アジア太平洋経済協力会議,apec [65] 英紙,デイリー [65] apec,首脳会議にやってきた政治家たちが快適に過ごせるよう [65] デイリー,メール [65] ホームレスがサンフランシスコの路上から追い出される,英紙 [65] 市当局は,アジア太平洋経済協力会議 [65] メール,がサンフランシスコの路上で起きた前代未聞の事態を報じた [65] がサンフランシスコの路上で起きた前代未聞の事態を報じた,市当局は [64] naoyafujiwara,ホームレスがサンフランシスコの路上から追い出される Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: