The graph represents a network of 4,835 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 Thursday, 18 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, 40-minute period from Tuesday, 09 July 2019 at 14:19 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 : 4835
Unique Edges : 5506
Edges With Duplicates : 1258
Total Edges : 6764
Number of Edge Types : 3
Tweet : 935
Replies to : 524
Mentions : 5305
Self-Loops : 935
Reciprocated Vertex Pair Ratio : 0.0121304018195603
Reciprocated Edge Ratio : 0.0239700374531835
Connected Components : 659
Single-Vertex Connected Components : 413
Maximum Vertices in a Connected Component : 2665
Maximum Edges in a Connected Component : 4036
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.753088
Graph Density : 0.000228474708833799
Modularity : 0.703018
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1678] california,superintendent [1678] superintendent,janitor [1678] janitor,mask [1678] mask,fake [1678] fake,gun [1678] gun,run [1678] run,around [1677] shannonrwatts,california [1677] around,school [1677] school,campus Top Word Pairs in Tweet in G1:
[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 G2:
[63] ke,mk [61] caleg,terpilih [46] dpr,ri [43] caleg,dpd [41] digugat,ke [40] caleg,yang [38] caleg,dpr [30] 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:
[63] caleg,gagal [14] jadi,caleg [13] gunromli,aniesbaswedan [10] terima,kasih [9] caleg,dan [8] caleg,gerindra [8] caleg,dari [8] pak,prabowo [7] partai,caleg [7] gagal,jadi 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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