The graph represents a network of 6,602 Twitter users whose recent tweets contained "Rappler", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 24 September 2019 at 07:52 UTC.
The tweets in the network were tweeted over the 3-day, 0-hour, 50-minute period from Saturday, 21 September 2019 at 06:26 UTC to Tuesday, 24 September 2019 at 07:16 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 : 6602
Unique Edges : 8052
Edges With Duplicates : 3568
Total Edges : 11620
Number of Edge Types : 4
Retweet : 8435
Replies to : 455
Mentions : 1352
Tweet : 1378
Self-Loops : 1393
Reciprocated Vertex Pair Ratio : 0.00603937673632081
Reciprocated Edge Ratio : 0.0120062432464882
Connected Components : 396
Single-Vertex Connected Components : 310
Maximum Vertices in a Connected Component : 5951
Maximum Edges in a Connected Component : 10643
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.193263
Graph Density : 0.000191120648047001
Modularity : 0.548633
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1024] students,use [1024] use,guns [1023] guns,promote [1023] promote,violence [711] forest,fires [697] sumatra,borneo [657] fires,sumatra [657] borneo,islands [581] martial,law [556] climate,change Top Word Pairs in Tweet in G1:
[482] climate,change [377] stolen,dreams [377] dreams,childhood [377] people,suffering [377] suffering,people [377] people,dying [377] dying,entire [377] entire,ecosystems [377] ecosystems,collapsing [346] never,forget Top Word Pairs in Tweet in G2:
[181] martial,law [127] duterte,sara [127] sara,paolo [127] paolo,mark [127] mark,big [127] big,spikes [127] spikes,wealth [127] wealth,cash [127] cash,public [127] public,office Top Word Pairs in Tweet in G3:
[639] forest,fires [639] sumatra,borneo [638] fires,sumatra [638] borneo,islands [361] cebu,city [360] hi,wanna [360] wanna,tell [360] tell,everyone [360] everyone,haze [360] haze,indonesian Top Word Pairs in Tweet in G4:
[276] fighting,maroons [271] men's,basketball [181] final,score [171] tim,cone [155] #uaapseason82,men's [151] southeast,asian [151] asian,games [149] ue,red [149] games,#2019seagames [147] red,warriors Top Word Pairs in Tweet in G5:
[960] students,use [960] use,guns [960] guns,promote [960] promote,violence [480] afp,close [480] close,down [480] down,lumad [480] lumad,schools [480] schools,according [480] according,we've Top Word Pairs in Tweet in G6:
[25] typhoon,news [15] dela,rosa [14] martial,law [12] hazings,made [12] tropical,storm [12] storm,nimfa [11] academy,hazings [10] jaymanwhat,jaymanwhat [10] pnp,chief [10] chief,dela Top Word Pairs in Tweet in G7:
[230] lesson,become [230] become,idiot [230] idiot,hazing [18] students,use [18] use,guns [18] guns,promote [18] promote,violence [9] afp,close [9] close,down [9] down,lumad Top Word Pairs in Tweet in G8:
[99] more,reason [99] reason,ban [98] ban,practice [7] news,according [7] according,rights [7] rights,group [7] group,karapatan [7] karapatan,heredia [7] heredia,part [7] part,group Top Word Pairs in Tweet in G9:
[28] many,times [21] martial,law [20] president,rodrigo [20] rodrigo,duterte [16] know,talking [14] #2030now,#insightforimpact [14] times,president [14] duterte,answers [14] answers,questions [14] questions,media Top Word Pairs in Tweet in G10:
[35] fake,news [12] magbayad,kayo [12] kayo,ng [12] ng,tax [12] tax,fake [12] news,nga [12] nga,kayo [12] kayo,doj [12] doj,indicts [12] indicts,rappler Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: