The graph represents a network of 4,377 Twitter users whose recent tweets contained "caleg", 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 21:12 UTC.
The tweets in the network were tweeted over the 1928-day, 23-hour, 25-minute period from Wednesday, 29 November 2017 at 01:31 UTC to Sunday, 12 March 2023 at 00:57 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 : 4377
Unique Edges : 3082
Edges With Duplicates : 9249
Total Edges : 12331
Number of Edge Types : 8
Tweet : 1193
Retweet : 2625
MentionsInRetweet : 3980
Quote : 186
Replies to : 1059
MentionsInReplyTo : 1768
MentionsInQuote : 127
Mentions : 1393
Self-Loops : 1588
Reciprocated Vertex Pair Ratio : 0.0374259102455546
Reciprocated Edge Ratio : 0.0721514854717597
Connected Components : 699
Single-Vertex Connected Components : 370
Maximum Vertices in a Connected Component : 1998
Maximum Edges in a Connected Component : 6261
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.500898
Graph Density : 0.000319832897491833
Modularity : 0.476494
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,377 Twitter users whose recent tweets contained "caleg", 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 21:12 UTC.
The tweets in the network were tweeted over the 1928-day, 23-hour, 25-minute period from Wednesday, 29 November 2017 at 01:31 UTC to Sunday, 12 March 2023 at 00:57 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 : caleg
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:
[674] tidak,tetap [450] jadi,caleg [337] bupati,masif [337] ada,bupati [337] ruangan,khusus [337] tetap,bhkan [337] pegawai,tidak [337] masif,kumpulken [337] ptt,pegawai [337] kabarnya,ada Top Word Pairs in Tweet in G1:
[254] jadi,caleg [211] gagal,jadi [202] kali,gagal [202] anak,ini [202] seumur,hidup [202] caleg,tapi [201] tapi,stressnya [201] udah,kali [201] ini,udah [201] dan,sering Top Word Pairs in Tweet in G2:
[143] prabowo,subianto [101] #ikutpakde,prabowo [76] #loyalisprabowo,#ikutpakde [52] caleg,yang [50] dpr,ri [49] sistem,pemilu [48] caleg,dpr [40] nama,caleg [40] atau,coblos [33] partai,golkar Top Word Pairs in Tweet in G3:
[632] tidak,tetap [316] asn,ke [316] kumpulken,gtt [316] kabarnya,ada [316] guru,tidak [316] ke,ruangan [316] bupati,masif [316] bhkan,asn [316] masif,kumpulken [316] pegawai,tidak Top Word Pairs in Tweet in G4:
[38] sen,labor [38] labor,committee [36] thank,senmariaedurazo [36] committee,thank [36] presenting,#sb227 [36] senmariaedurazo,presenting [36] passes,sen [36] #safetynetforall,passes [29] today,sen [29] #sb227,today Top Word Pairs in Tweet in G5:
[143] caleg,pkb [133] bakal,caleg [120] jadi,penguji [115] hikam,dan [115] penguji,ribuan [115] muqowam,jadi [115] dan,akhmad [115] akhmad,muqowam [115] ribuan,bakal [108] cakiminow,hikam Top Word Pairs in Tweet in G6:
[22] #caleg,increase [21] increase,transparency [21] ca,spends [21] spends,address [21] report,efforts [21] efforts,#caleg [21] part,report [21] transparency,ca [20] address,home [20] eytanwallace,part Top Word Pairs in Tweet in G7:
[303] mending,prabowo [291] prabowo,gerindra [259] pemilu2024,dekade08 [259] terusmajubersamaprabowo,mendingprabowo [259] dekade08,terusmajubersamaprabowo [259] capres2024,pemilu2024 [158] saat,ini [157] ini,untuk [157] prabowo,mending [157] yaitu,menjadikan Top Word Pairs in Tweet in G8:
[11] caleg,gagal [7] pak,aniesbaswedan [6] jasa,pembuatan [6] caleg,dan [6] kami,konveksi [6] murah,berkualitas [6] konveksi,dari [6] harga,murah [6] menawarkan,jasa [6] jakarta,mau Top Word Pairs in Tweet in G9:
[104] semua,caleg [104] kalau,semua [104] caleg,begini [104] bikin,adem [104] begini,bikin [104] adem,lihatnya [103] satupersepsi,kalau [11] bakal,caleg [8] caleg,pkb [5] dan,akhmad Top Word Pairs in Tweet in G10:
[34] caleg,gagal [17] yg,sudah [16] politik,identitas [16] partai,ummat [14] jualan,caleg [14] pileg,kemarin [14] bercadar,biar [14] dg,jualan [14] caleg,bercadar [14] kemarin,kalian Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
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:
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: