The graph represents a network of 6,039 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, 16 August 2020 at 16:14 UTC.
The requested start date was Sunday, 16 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 18-day, 16-hour, 35-minute period from Monday, 27 July 2020 at 15:37 UTC to Saturday, 15 August 2020 at 08:12 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 : 6039
Unique Edges : 5099
Edges With Duplicates : 11294
Total Edges : 16393
Number of Edge Types : 5
Retweet : 4191
MentionsInRetweet : 6348
Tweet : 1423
Replies to : 1196
Mentions : 3235
Self-Loops : 1462
Reciprocated Vertex Pair Ratio : 0.0259981429897864
Reciprocated Edge Ratio : 0.0506787330316742
Connected Components : 942
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 2464
Maximum Edges in a Connected Component : 10773
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.720813
Graph Density : 0.000242434334713289
Modularity : 0.485387
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,039 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, 16 August 2020 at 16:14 UTC.
The requested start date was Sunday, 16 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 18-day, 16-hour, 35-minute period from Monday, 27 July 2020 at 15:37 UTC to Saturday, 15 August 2020 at 08:12 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[450] susilo,budiono [450] budiono,djarot [448] jaga,indonesia [447] orang,hebat [447] bangsa,ini [446] kirain,susilo [446] djarot,adlh [446] adlh,orang [446] hebat,bangsa [446] ini,shg Top Word Pairs in Tweet in G1:
[94] child,right [94] right,quality [94] quality,education [94] education,equitable [93] ca,schools [93] schools,#education [93] afterthought,child [93] equitable,resources [92] #education,afterthought [78] sentoniatkins,rendon63rd Top Word Pairs in Tweet in G2:
[120] oil,gas [71] nurse,practitioners [56] take,action [54] #ab890,nothing [52] cmadocs,#cmadocs [46] #cmadocs,take [46] action,against [46] against,#ab890 [46] nothing,bill [46] bill,requires Top Word Pairs in Tweet in G3:
[409] susilo,budiono [409] budiono,djarot [408] kirain,susilo [408] djarot,adlh [408] adlh,orang [408] orang,hebat [408] hebat,bangsa [408] bangsa,ini [408] ini,shg [408] shg,dia Top Word Pairs in Tweet in G4:
[93] caleg,yang [80] dpr,ri [72] partai,golkar [71] caleg,dpr [63] ngemis,#dukungsayamelayanianda [63] jangan,dipilih [61] tidak,konsisten [56] curiga,sama [44] ri,dapil [44] dapil,kaltim Top Word Pairs in Tweet in G5:
[366] momsdemand,volunteer [245] ca,momsdemand [227] gun,sense [110] public,safety [106] sense,university [92] volunteer,proud [81] safety,committee [80] sense,champion [80] volunteer,grateful [69] ruling,extreme Top Word Pairs in Tweet in G6:
[117] caleg,pan [101] msaid_didu,caleg [60] caleg,gagal [35] susilo,budiono [35] budiono,djarot [34] jaga,indonesia [33] bangsa,ini [32] kirain,susilo [32] djarot,adlh [32] adlh,orang Top Word Pairs in Tweet in G7:
[54] #caleg,gavinnewsom [52] breaking,eviction [52] eviction,foreclosure [52] foreclosure,proceedings [52] proceedings,recommence [52] recommence,california [52] california,sept [52] sept,ball [52] ball,#caleg [51] jeremybwhite,breaking Top Word Pairs in Tweet in G8:
[80] pembakar,foto [80] foto,riziq [80] riziq,mantan [80] mantan,caleg [80] caleg,pan [80] pan,tp [80] tp,lagi2 [80] lagi2,yg [80] yg,dituduh [80] dituduh,pdi Top Word Pairs in Tweet in G9:
[9] uber,lyft [8] online,talks [8] talks,experts [8] experts,annmravel [8] annmravel,communicating [8] communicating,voters [8] voters,issues [8] issues,care [8] care,one [8] one,example Top Word Pairs in Tweet in G10:
[22] jadi,caleg [8] kdrama_menfess,caleg [5] caleg,anaknya [5] siwonchoi,jadi [4] spanduk,caleg [4] caleg,siwonchoi [4] caleg,indo [3] kek,spanduk [3] bapak,caleg [3] mas,allrisesilver Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: