The graph represents a network of 4 390 Twitter users whose recent tweets contained "Elcano and Magellan", 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 Friday, 08 November 2019 at 09:11 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 24-minute period from Wednesday, 30 October 2019 at 13:36 UTC to Friday, 08 November 2019 at 09:00 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 : 4393
Unique Edges : 4926
Edges With Duplicates : 319
Total Edges : 5245
Number of Edge Types : 4
Mentions : 369
Replies to : 161
Retweet : 4423
Tweet : 292
Self-Loops : 294
Reciprocated Vertex Pair Ratio : 0,00500104188372578
Reciprocated Edge Ratio : 0,00995231183910429
Connected Components : 140
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 4162
Maximum Edges in a Connected Component : 4893
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2,822707
Graph Density : 0,000249973359670978
Modularity : 0,499008
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4 390 Twitter users whose recent tweets contained "Elcano and Magellan", 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 Friday, 08 November 2019 at 09:11 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 24-minute period from Wednesday, 30 October 2019 at 13:36 UTC to Friday, 08 November 2019 at 09:00 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Elcano and Magellan
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3659] elcano,magellan [3301] magellan,movie [3255] support,elcano [3254] colonizers,good [3251] okay,let's [3251] let's,try [3251] try,again [3251] again,please [3251] please,under [3251] under,circumstances Top Word Pairs in Tweet in G1:
[3136] elcano,magellan [3134] support,elcano [3134] magellan,movie [3133] colonizers,good [3132] okay,let's [3132] let's,try [3132] try,again [3132] again,please [3132] please,under [3132] under,circumstances Top Word Pairs in Tweet in G2:
[253] magellan,elcano's [252] elcano's,discovery [251] discovery,country [251] country,resulted [251] resulted,destruction [251] destruction,people's [251] people's,identity [251] identity,culture [251] culture,raped [251] raped,country Top Word Pairs in Tweet in G3:
[233] elcano,amp [233] amp,magellan [224] hello,filipinx [224] filipinx,twitter [224] twitter,time [224] time,today [224] today,please [224] please,express [224] express,disapproval [224] disapproval,showing Top Word Pairs in Tweet in G4:
[145] animated,movie [144] magellan,amp [144] juan,sebastian [144] sebastian,elcano [144] know,history [143] uh,hell [143] hell,gonna [143] gonna,animated [143] movie,spain [143] spain,ferdinand Top Word Pairs in Tweet in G5:
[65] elcano,magellan [22] lapu,lapu [13] magellan,movie [12] magellan,elcano [10] animated,film [9] elcano,amp [9] amp,magellan [7] film,elcano [7] 'elcano,magellan' [5] around,world Top Word Pairs in Tweet in G6:
[51] palace,mtrcb [51] mtrcb,decide [51] decide,'elcano [51] 'elcano,magellan' [51] magellan',ban [16] elcano,magellan [14] animated,film [14] film,elcano [10] spanish,produced [10] produced,animated Top Word Pairs in Tweet in G7:
[37] elcano,amp [37] amp,magellan [36] good,morning [36] morning,sa [36] sa,kung [36] kung,sino [36] sino,mang [36] mang,kailangang [36] kailangang,marinig [36] marinig,alam Top Word Pairs in Tweet in G8:
[75] elcano,magellan [59] many,things [59] things,unpack [59] unpack,love [59] love,local [59] local,history [59] history,let's [59] let's,go [59] go,obvious [59] obvious,elcano Top Word Pairs in Tweet in G9:
[35] agusan,norte [35] norte,1st [35] 1st,district [35] lawrence,fortun [35] movie,'elcano [35] 'elcano,magellan [35] magellan,first [35] first,voyage [35] voyage,around [35] around,world' Top Word Pairs in Tweet in G10:
[38] elcano,magellan [32] imagine,depicting [32] depicting,70 [32] 70,year [32] year,old [32] old,chieftain [32] chieftain,lapu [32] lapu,lapu [32] lapu,villain [32] villain,defend 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
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: