The graph represents a network of 804 Twitter users whose recent tweets contained "#bmbf OR "buy muslim bumiputera first" OR "buy muslim first"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Saturday, 28 September 2019 at 11:43 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 39-minute period from Thursday, 19 September 2019 at 06:56 UTC to Saturday, 28 September 2019 at 11:36 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 : 804
Unique Edges : 995
Edges With Duplicates : 135
Total Edges : 1130
Number of Edge Types : 4
Mentions : 361
Tweet : 232
Retweet : 398
Replies to : 139
Self-Loops : 236
Reciprocated Vertex Pair Ratio : 0.0290556900726392
Reciprocated Edge Ratio : 0.0564705882352941
Connected Components : 233
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 235
Maximum Edges in a Connected Component : 337
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.176306
Graph Density : 0.0013165802370464
Modularity : 0.735437
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[619] buy,muslim [582] muslim,first [104] campaign,buy [94] joker,campaign [91] kempen,buy [65] non,muslim [60] muslim,product [53] boycott,non [47] level,ministers [47] ministers,par Top Word Pairs in Tweet in G1:
[122] buy,muslim [113] muslim,first [9] #bmf,buy [8] muslim,products [8] harith,iskander [8] kempen,buy [7] bmf,buy [7] first,bmf [6] first,#bmf [5] 'buy,muslim Top Word Pairs in Tweet in G2:
[21] #bmbf,fördert [14] traf,heute [13] #bmbf,gefördert [11] fördert,die [9] bm,anjakarliczek [9] heute,die [8] die,#bmbf [8] besuch,#norwegen [8] #norwegen,sts [8] sts,_thomasrachel Top Word Pairs in Tweet in G3:
[80] buy,muslim [61] muslim,first [18] biar,tak [16] #bmf,buy [15] harithiskander,dulu [15] dulu,aku [15] aku,selalu [15] selalu,beranggapan [15] beranggapan,bahawa [15] bahawa,org Top Word Pairs in Tweet in G4:
[92] buy,muslim [92] muslim,first [86] joker,campaign [86] campaign,buy [44] boycott,non [44] non,muslim [43] level,ministers [43] ministers,par [43] par,joker [43] first,joker Top Word Pairs in Tweet in G5:
[54] buy,muslim [54] muslim,first [14] kempen,buy [10] kita,buy [9] first,#bmf [8] #bmf,lihat [8] lihat,strategy [8] strategy,kita [8] first,tapi [8] tapi,lain Top Word Pairs in Tweet in G6:
[37] buy,muslim [37] muslim,first [31] aku,tak [31] tak,support [31] support,kempen [31] kempen,tapi [31] tapi,nama [31] nama,dia [31] dia,buy [31] first,dahlah Top Word Pairs in Tweet in G7:
[12] #newsletter,introduce [12] introduce,world [12] world,#phosphorous [12] #phosphorous,scare [12] scare,nutrient [12] nutrient,large [12] large,importance [12] importance,agricultural [12] agricultural,#soil [12] #soil,management Top Word Pairs in Tweet in G8:
[36] ngo,ngo [20] kempen,buy [20] buy,muslim [20] muslim,first [19] setiap,kawasan [19] kawasan,parlimen [19] parlimen,saya [18] saya,lihat [18] lihat,kempen [18] first,semakin Top Word Pairs in Tweet in G9:
[16] buy,muslim [16] muslim,first [15] sebab,kerajaan [15] kerajaan,support [15] support,kempen [15] kempen,buy Top Word Pairs in Tweet in G10:
[20] buy,muslim [20] muslim,first [4] calling,boycott [3] #bmf,#bmbf [3] boycott,non [3] non,muslim [2] rupa,rupanya [2] rupanya,ada [2] produk,produk [2] joker,campaign Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
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: