The graph represents a network of 5,041 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, 08 December 2019 at 22:25 UTC.
The requested start date was Sunday, 08 December 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 15-day, 1-hour, 31-minute period from Friday, 22 November 2019 at 23:29 UTC to Sunday, 08 December 2019 at 01:00 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 : 5041
Unique Edges : 6133
Edges With Duplicates : 1211
Total Edges : 7344
Number of Edge Types : 3
Mentions : 5732
Tweet : 804
Replies to : 808
Self-Loops : 804
Reciprocated Vertex Pair Ratio : 0.0191467920725563
Reciprocated Edge Ratio : 0.037574159525379
Connected Components : 604
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 2628
Maximum Edges in a Connected Component : 3538
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.025355
Graph Density : 0.000238835202136135
Modularity : 0.718896
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,041 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, 08 December 2019 at 22:25 UTC.
The requested start date was Sunday, 08 December 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 15-day, 1-hour, 31-minute period from Friday, 22 November 2019 at 23:29 UTC to Sunday, 08 December 2019 at 01:00 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:
[1471] san,diego [1471] diego,man [1471] man,believed [1471] believed,rehearsing [1471] rehearsing,mass [1471] mass,shooting [1471] shooting,pedestrians [1471] pedestrians,downtown [1471] downtown,hotel [1471] hotel,arrested Top Word Pairs in Tweet in G1:
[1471] san,diego [1471] diego,man [1471] man,believed [1471] believed,rehearsing [1471] rehearsing,mass [1471] mass,shooting [1471] shooting,pedestrians [1471] pedestrians,downtown [1471] downtown,hotel [1471] hotel,arrested Top Word Pairs in Tweet in G2:
[166] caleg,gagal [28] ferdinandhaean2,aniesbaswedan [28] ferdinandhaean2,caleg [28] jadi,caleg [19] gagal,jadi [14] caleg,dpr [14] dpr,ri [13] gagal,caleg [12] aniesbaswedan,caleg [12] jd,caleg Top Word Pairs in Tweet in G3:
[101] pro,equality [88] being,pro [88] equality,champions [73] eqca,thank [68] thank,assemblymembers [42] legislative,scorecard [37] 2019,state [37] state,legislative [30] champions,congratulations [30] receiving,100 Top Word Pairs in Tweet in G4:
[78] caleg,yang [77] dpr,ri [72] caleg,dpr [58] partai,golkar [51] ngemis,#dukungsayamelayanianda [51] tidak,konsisten [50] jangan,dipilih [42] curiga,sama [35] dari,partai [31] ri,dapil Top Word Pairs in Tweet in G5:
[61] caleg,gagal [40] menghina,ulama [25] caleg,psi_id [20] gagal,caleg [20] gk,tau [20] tau,mau [20] mau,lu [20] lu,husinshihab [20] husinshihab,menghina [20] ulama,setelah Top Word Pairs in Tweet in G6:
[96] jd,caleg [91] indonesia,pintar [91] ckup,jd [90] klo,bisa [90] bisa,ngk [90] ngk,usah [90] usah,sekolah [90] sekolah,mau [90] mau,pintar [90] pintar,ada Top Word Pairs in Tweet in G7:
[56] caleg,pks [55] anak,kandung [54] cabuli,anak [53] pks,cabuli [53] kandung,netizen [32] bro,hnurwahid [29] netizen,gimana [29] gimana,nih [29] nih,bro [29] hnurwahid,melekpolitikcom Top Word Pairs in Tweet in G8:
[162] state,senator [54] ca,endorsements [54] endorsements,joebiden [54] joebiden,state [54] senator,melissa [54] melissa,hurtado [54] hurtado,state [54] senator,tom [54] tom,umberg [54] umberg,state Top Word Pairs in Tweet in G9:
[14] harder,truck [14] truck,drivers [14] drivers,uber [14] uber,lyft [14] lyft,drivers [14] drivers,more [14] more,work [14] work,ca [14] ca,#cadem [14] #cadem,authored Top Word Pairs in Tweet in G10:
[9] caleg,gagal [7] caleg,dan [5] gerindra,yg [5] yg,kau [5] milih,caleg [5] dan,capres [4] jokowi,gpansor_satu [4] caleg,gerindra [4] apa,yg [4] kau,lakukan Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: