The graph represents a network of 4,831 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 Wednesday, 17 July 2019 at 00:28 UTC.
The requested start date was Tuesday, 16 July 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 6-day, 9-hour, 58-minute period from Tuesday, 09 July 2019 at 14:01 UTC to Tuesday, 16 July 2019 at 00:00 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 : 4831
Unique Edges : 5500
Edges With Duplicates : 1262
Total Edges : 6762
Number of Edge Types : 3
Tweet : 938
Replies to : 526
Mentions : 5298
Self-Loops : 938
Reciprocated Vertex Pair Ratio : 0.0121419085562512
Reciprocated Edge Ratio : 0.0239925023430178
Connected Components : 660
Single-Vertex Connected Components : 414
Maximum Vertices in a Connected Component : 2660
Maximum Edges in a Connected Component : 4030
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.754595
Graph Density : 0.000228638970280362
Modularity : 0.703007
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1674] california,superintendent [1674] superintendent,janitor [1674] janitor,mask [1674] mask,fake [1674] fake,gun [1674] gun,run [1674] run,around [1673] shannonrwatts,california [1673] around,school [1673] school,campus Top Word Pairs in Tweet in G1:
[1670] california,superintendent [1670] superintendent,janitor [1670] janitor,mask [1670] mask,fake [1670] fake,gun [1670] gun,run [1670] run,around [1669] shannonrwatts,california [1669] around,school [1669] school,campus Top Word Pairs in Tweet in G2:
[63] ke,mk [62] caleg,terpilih [46] dpr,ri [43] caleg,dpd [41] digugat,ke [40] caleg,yang [38] caleg,dpr [29] terlalu,cantik [28] partai,golkar [27] caleg,dari Top Word Pairs in Tweet in G3:
[41] descend,capitol [31] back,down [31] down,today [31] today,hundreds [31] hundreds,drivers [31] drivers,state [31] state,descend [31] capitol,demand [30] s,time [30] mobile_alliance,back Top Word Pairs in Tweet in G4:
[54] gavinnewsom,signs [49] live,gavinnewsom [49] signs,wildfire [49] wildfire,safety [49] safety,accountability [49] accountability,legislation [49] legislation,#caleg [49] #caleg,cal_oes [49] cal_oes,cal_fire [49] cal_fire,more Top Word Pairs in Tweet in G5:
[61] caleg,gagal [14] gunromli,aniesbaswedan [14] jadi,caleg [10] terima,kasih [10] bukan,siapa [9] caleg,dan [9] siapa,siapa [8] caleg,gerindra [8] caleg,dari [8] pak,prabowo Top Word Pairs in Tweet in G6:
[207] oh,tadi [207] tadi,ada [207] ada,caleg [207] caleg,dari [207] dari,sumut [207] sumut,yang [207] yang,datang [207] datang,ke [207] ke,tribun [207] tribun,pantesan Top Word Pairs in Tweet in G7:
[14] health,care [13] medi,cal [13] gov,gavinnewsom [13] passed,senate [12] citing,fierce [12] fierce,pushback [12] pushback,hospitals [12] hospitals,#california [12] #california,lawmakers [12] lawmakers,sidelined Top Word Pairs in Tweet in G8:
[16] #metoo,story [16] story,without [16] without,satisfying [16] satisfying,ending [16] ending,powerful [16] powerful,guy [16] guy,#calpers [16] #calpers,contrite [16] contrite,basically [15] marcosbreton,#metoo Top Word Pairs in Tweet in G9:
[26] elu,itu [26] itu,pastas [26] pastas,dijadikan [26] dijadikan,musuh [26] musuh,bersama [26] bersama,mon [26] mon,akun [26] akun,anonim [26] anonim,yg [26] yg,elu Top Word Pairs in Tweet in G10:
[11] california,needs [11] needs,water [11] water,need [11] need,protect [11] protect,treasured [11] treasured,lands [11] lands,won [11] won,t [11] t,developer [11] developer,s Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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