The graph represents a network of 2,207 Twitter users whose recent tweets contained "#SetorFotoPolusi", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 27 June 2019 at 00:12 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 37-minute period from Tuesday, 25 June 2019 at 04:34 UTC to Thursday, 27 June 2019 at 00:11 UTC.
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 : 2207
Unique Edges : 2562
Edges With Duplicates : 108
Total Edges : 2670
Self-Loops : 138
Reciprocated Vertex Pair Ratio : 0.00121310149615851
Reciprocated Edge Ratio : 0.0024232633279483
Connected Components : 103
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 2080
Maximum Edges in a Connected Component : 2545
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.666512
Graph Density : 0.000508560703374781
Modularity : 0.532997
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1546] taken,plane [1546] plane,#setorfotopolusi [1545] ifahnfh,taken [198] jakarta,pagi [194] udara,pas [192] pagi,ini [185] udara,jakarta [179] buruk,ini [177] kualitas,udara [176] ini,masih Top Word Pairs in Tweet in G1:
[1471] taken,plane [1471] plane,#setorfotopolusi [1470] ifahnfh,taken Top Word Pairs in Tweet in G2:
[51] #setorfotopolusi,ke [43] piokharisma,taken [41] piokharisma,ini [41] piokharisma,#setorfotopolusi [40] pas,pulang [40] #setorfotopolusi,dari [40] ke,piokharisma [40] taken,iphone [40] iphone,7 [40] 7,edited Top Word Pairs in Tweet in G3:
[163] kualitas,udara [163] udara,jakarta [163] jakarta,pagi [163] pagi,ini [163] ini,masih [163] masih,buruk [163] buruk,ini [163] ini,kondisi [163] kondisi,menyedihkan [163] menyedihkan,greenpeace Top Word Pairs in Tweet in G4:
[184] udara,pas [92] kiri,udara [92] pas,berangkat [92] berangkat,dari [92] dari,bali [92] bali,kanan [92] kanan,udara [92] pas,nyampe [92] nyampe,di [92] di,cengkareng Top Word Pairs in Tweet in G5:
[8] di,jakarta [7] polusi,jakarta [5] di,#setorfotopolusi [5] foto2,di [5] liat,foto2 [5] tagar,#setorfotopolusi [5] #setorfotopolusi,tunjukkan [5] tunjukkan,polusi [5] jakarta,semakin [5] semakin,buruk Top Word Pairs in Tweet in G6:
[12] raise,awareness [12] share,call [11] indonesia_expat,help [11] help,share [11] call,raise [11] awareness,city [11] city,s [11] s,toxic [11] toxic,air [11] air,#polusiudara Top Word Pairs in Tweet in G7:
[12] jakarta,based [12] based,netizens [12] netizens,trying [12] trying,raise [12] raise,awareness [12] awareness,city's [12] city's,air [12] air,pollution [12] pollution,problem [12] problem,sharing Top Word Pairs in Tweet in G8:
[7] mhdtronik,#setorfotopolusi Top Word Pairs in Tweet in G9:
[5] #setorfotopolusi,posting [5] posting,selfie [5] selfie,sendiri [5] sendiri,polusi [5] polusi,visual [4] acipanser,#setorfotopolusi Top Word Pairs in Tweet in G10:
[3] vdyonus,#setorfotopolusi Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: