The graph represents a network of 4,527 Twitter users whose tweets in the requested range contained "caleg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 21:20 UTC.
The requested start date was Sunday, 17 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 9-day, 7-hour, 33-minute period from Thursday, 07 November 2019 at 15:14 UTC to Saturday, 16 November 2019 at 22:47 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 4527
Unique Edges : 6428
Edges With Duplicates : 1013
Total Edges : 7441
Number of Edge Types : 3
Mentions : 5945
Replies to : 778
Tweet : 718
Self-Loops : 718
Reciprocated Vertex Pair Ratio : 0.0117250240925153
Reciprocated Edge Ratio : 0.0231782822670265
Connected Components : 545
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 2513
Maximum Edges in a Connected Component : 4095
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.200561
Graph Density : 0.000307430225930712
Modularity : 0.720636
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,527 Twitter users whose tweets in the requested range contained "caleg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 November 2019 at 21:20 UTC.
The requested start date was Sunday, 17 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 9-day, 7-hour, 33-minute period from Thursday, 07 November 2019 at 15:14 UTC to Saturday, 16 November 2019 at 22:47 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2174] caleg,gagal [1595] gagal,psi [1154] bikin,rusuh [1138] rusuh,di [1134] di,kantor [1126] kantor,polisi [1008] psi,bikin [726] vivacoid,caleg [578] depresi,caleg [503] ancam,polisi Top Word Pairs in Tweet in G1:
[571] caleg,gagal [569] bikin,rusuh [568] gagal,psi [565] kantor,polisi [564] psi,bikin [564] rusuh,di [564] di,kantor [537] vivacoid,caleg [29] depresi,caleg [20] polisi,#vivanews Top Word Pairs in Tweet in G2:
[664] caleg,gagal [544] gagal,psi [366] depresi,caleg [343] psi,ngamuk [343] ancam,polisi [339] ngamuk,keluarin [339] keluarin,pisau [339] pisau,dan [339] dan,ancam [331] geloraco,depresi Top Word Pairs in Tweet in G3:
[162] gun,violence [151] misty,smith [151] smith,walton [151] walton,oakland [151] oakland,california [151] california,mother [151] mother,two [151] two,sons [151] sons,ages [151] ages,8 Top Word Pairs in Tweet in G4:
[233] caleg,gagal [140] bikin,rusuh [135] gagal,psi [128] kantor,polisi [127] rusuh,di [127] di,kantor [75] psi,bikin [74] depresi,caleg [54] kalian,enggak [50] pisau,dan Top Word Pairs in Tweet in G5:
[247] caleg,gagal [76] gagal,psi [65] gagal,itu [58] bikin,rusuh [58] rusuh,di [58] di,kantor [55] psi,bikin [54] njieerr,emang [54] emang,caleg [54] itu,punya Top Word Pairs in Tweet in G6:
[72] caleg,gagal [49] dpr,ri [48] caleg,yang [44] caleg,dpr [37] partai,golkar [33] gagal,psi [31] tidak,konsisten [31] ngemis,#dukungsayamelayanianda [31] jangan,dipilih [28] curiga,sama Top Word Pairs in Tweet in G7:
[180] pria,inisial [180] inisial,tmd [180] tmd,26 [180] 26,diamankan [180] diamankan,aparat [180] aparat,kepolisian [180] kepolisian,di [180] di,kabupaten [180] kabupaten,bireuen [180] bireuen,aceh Top Word Pairs in Tweet in G8:
[153] caleg,gagal [132] gagal,psi [115] kelakuan,apa [115] apa,lagi [115] lagi,yang [115] yang,hendak [115] hendak,dipamerkan [115] dipamerkan,kader [115] kader,psi [115] psi,ini Top Word Pairs in Tweet in G9:
[24] cagovernor,gavinnewsom [19] gov,gavinnewsom [19] watch,full [18] #behavioralhealthchampion,cagovernor [17] full,interview [16] behavioral,health [12] 50,organizations [12] organizations,including [12] including,ca [12] ca,nurses Top Word Pairs in Tweet in G10:
[10] caleg,gagal [7] caleg,nasdem [7] ch_chotimah,nasdem [5] caleg,dr [4] pak,jokowi [4] partai,koalisi [4] nasdem,krn [3] jd,caleg [3] kartu,nama [3] tanpa,mahar Top Replied-To in Entire Graph:
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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: