The graph represents a network of 4,053 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, 10 November 2019 at 20:38 UTC.
The requested start date was Sunday, 10 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 4-day, 11-hour, 56-minute period from Tuesday, 05 November 2019 at 10:46 UTC to Saturday, 09 November 2019 at 22:42 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 : 4053
Unique Edges : 5707
Edges With Duplicates : 752
Total Edges : 6459
Number of Edge Types : 3
Tweet : 529
Mentions : 5387
Replies to : 543
Self-Loops : 529
Reciprocated Vertex Pair Ratio : 0.0089750493627715
Reciprocated Edge Ratio : 0.0177904287493329
Connected Components : 392
Single-Vertex Connected Components : 242
Maximum Vertices in a Connected Component : 3144
Maximum Edges in a Connected Component : 5171
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.126163
Graph Density : 0.00034226898335456
Modularity : 0.669947
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,053 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, 10 November 2019 at 20:38 UTC.
The requested start date was Sunday, 10 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 4-day, 11-hour, 56-minute period from Tuesday, 05 November 2019 at 10:46 UTC to Saturday, 09 November 2019 at 22:42 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:
[2007] caleg,gagal [1546] gagal,psi [1092] bikin,rusuh [1076] rusuh,di [1072] di,kantor [1065] kantor,polisi [975] psi,bikin [738] kabupaten,landak [703] vivacoid,caleg [665] dari,partai Top Word Pairs in Tweet in G1:
[436] kabupaten,landak [435] anggota,dprd [435] dprd,kabupaten [435] landak,dari [435] dari,partai [435] partai,solidaritas [435] solidaritas,indonesia [435] indonesia,psi [435] psi,nomor [435] nomor,urut Top Word Pairs in Tweet in G2:
[521] caleg,gagal [517] gagal,psi [515] kantor,polisi [514] psi,bikin [514] bikin,rusuh [514] rusuh,di [514] di,kantor [512] vivacoid,caleg [41] zarazettirazr,anggota [41] anggota,dprd Top Word Pairs in Tweet in G3:
[418] caleg,gagal [394] gagal,psi [316] depresi,caleg [316] psi,ngamuk [316] ngamuk,keluarin [316] keluarin,pisau [316] pisau,dan [316] dan,ancam [316] ancam,polisi [314] geloraco,depresi Top Word Pairs in Tweet in G4:
[262] caleg,gagal [182] gagal,psi [160] bikin,rusuh [147] rusuh,di [147] di,kantor [138] kantor,polisi [120] psi,bikin [90] tsamaradki,antoniraja [78] depresi,caleg [72] antoniraja,grace_nat Top Word Pairs in Tweet in G5:
[212] biar,mikir [212] dikhawatirkan,caleg [212] di,dprd [212] dprd,dki [212] ini,juga [196] mikir,gt [196] gt,yang [196] yang,dikhawatirkan [196] caleg,yang [196] yang,duduk Top Word Pairs in Tweet in G6:
[61] caleg,gagal [31] gagal,psi [27] caleg,yang [26] dpr,ri [23] dewi,tanjung [23] caleg,dpr [19] caleg,dari [18] partai,golkar [18] bikin,rusuh [17] kantor,polisi Top Word Pairs in Tweet in G7:
[105] caleg,gagal [103] ada,yg [103] nol,koma [102] kelakuan,apa [102] apa,lagi [102] lagi,yang [102] yang,hendak [102] hendak,dipamerkan [102] dipamerkan,kader [102] kader,psi Top Word Pairs in Tweet in G8:
[107] caleg,gagal [93] kabupaten,landak [93] gagal,psi [76] caleg,psi [74] sudarmo,caleg [74] psi,kabupaten [74] landak,ditangkap [74] ditangkap,polisi [74] polisi,dia [74] dia,menggelapkan Top Word Pairs in Tweet in G9:
[104] aparat,kepolisian [102] psi,ini [101] caleg,psi [100] mudah,mudahan [100] mudahan,aparat [100] kepolisian,yang [100] yang,menangkap [100] menangkap,caleg [100] ini,tidak [100] tidak,dituduh Top Word Pairs in Tweet in G10:
[104] caleg,gagal [29] ðÿ,ðÿ [21] ferdinandhaean2,caleg [16] jadi,caleg [9] gagal,psi [9] gagal,caleg [6] menang04,ferdinandhaean2 [5] geloraco,depresi [5] depresi,caleg [5] psi,ngamuk 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 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 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: