The graph represents a network of 7,293 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, 04 October 2020 at 16:19 UTC.
The requested start date was Sunday, 04 October 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 11-day, 14-hour, 25-minute period from Tuesday, 22 September 2020 at 09:32 UTC to Saturday, 03 October 2020 at 23:58 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 : 7293
Unique Edges : 5681
Edges With Duplicates : 12441
Total Edges : 18122
Number of Edge Types : 5
Retweet : 5691
MentionsInRetweet : 9754
Tweet : 838
Mentions : 1151
Replies to : 688
Self-Loops : 848
Reciprocated Vertex Pair Ratio : 0.011070110701107
Reciprocated Edge Ratio : 0.0218978102189781
Connected Components : 826
Single-Vertex Connected Components : 358
Maximum Vertices in a Connected Component : 4431
Maximum Edges in a Connected Component : 13810
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 2.647501
Graph Density : 0.000206090361296712
Modularity : 0.458265
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,293 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, 04 October 2020 at 16:19 UTC.
The requested start date was Sunday, 04 October 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 11-day, 14-hour, 25-minute period from Tuesday, 22 September 2020 at 09:32 UTC to Saturday, 03 October 2020 at 23:58 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:
[2893] act,2020 [2822] proud,report [2822] report,bill [2822] bill,#kobebryant [2822] #kobebryant,act [2822] 2020,signed [2822] signed,today [2822] today,gavinnewsom [2822] gavinnewsom,#ab2655 [2822] #ab2655,prohibit Top Word Pairs in Tweet in G1:
[2865] act,2020 [2814] proud,report [2814] report,bill [2814] bill,#kobebryant [2814] #kobebryant,act [2814] 2020,signed [2814] signed,today [2814] today,gavinnewsom [2814] gavinnewsom,#ab2655 [2814] #ab2655,prohibit Top Word Pairs in Tweet in G2:
[818] caleg,yg [802] catat,kalau [802] kalau,2024 [802] 2024,pdip [802] pdip,masih [802] masih,menang [802] menang,lagi [802] lagi,bukan [802] bukan,karena [802] karena,partai Top Word Pairs in Tweet in G3:
[243] searching,california [243] california,gunman [243] gunman,car [243] car,police [243] police,found [243] found,four [243] four,assault [243] assault,rifles [243] rifles,bolt [243] bolt,action Top Word Pairs in Tweet in G4:
[73] cagovernor,gavinnewsom [55] need,support [54] service,providers [54] providers,need [54] support,#caleg [54] #caleg,keep [54] keep,doors [54] doors,open [54] open,continue [54] continue,serving Top Word Pairs in Tweet in G5:
[68] caleg,yang [47] caleg,dpr [43] dpr,ri [41] ngemis,#dukungsayamelayanianda [40] tidak,konsisten [40] jangan,dipilih [36] curiga,sama [31] partai,golkar [30] menjadi,caleg [29] jadi,caleg Top Word Pairs in Tweet in G6:
[59] caleg,gagal [16] jadi,caleg [10] caleg,yg [7] tofatofa_id,caleg [5] gagal,kuliah [5] botak,caleg [5] kepala,daerah [4] partai,itu [4] kuliah,gagal [4] tofatofa_id,heeyyy Top Word Pairs in Tweet in G7:
[65] ini,kok [65] kok,kayak [65] kayak,poster [65] poster,caleg [64] bb_schwarz,ini [40] folded,poster [40] poster,atau [40] atau,surat [40] surat,suara [40] suara,caleg Top Word Pairs in Tweet in G8:
[22] poorly,written [22] written,law [22] law,picks [22] picks,winner [22] winner,losers [22] losers,within [22] within,freelance [22] freelance,economy [22] economy,#cadeservesbetter [22] #cadeservesbetter,#repealab5 Top Word Pairs in Tweet in G9:
[4] foster,youth [4] youth,whose [4] whose,transitional [4] transitional,years [4] years,disrupted [4] disrupted,emergency [4] emergency,face [4] face,badly [4] badly,damaged [4] damaged,economy Top Word Pairs in Tweet in G10:
[3] diplomaprivileg,socaltaxprof [3] socaltaxprof,berkeleylaw [3] berkeleylaw,usandiegolaw [3] usandiegolaw,westernstatelaw [3] westernstatelaw,davidfaigman [3] davidfaigman,uchastingslaw [3] uchastingslaw,sfreiwald [3] yes,statebarca [3] statebarca,history [3] history,malfeasance Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: