The graph represents a network of 24 Twitter users whose recent tweets contained "XYZ Films", 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, 22 October 2020 at 05:51 UTC.
The tweets in the network were tweeted over the 7-day, 3-hour, 50-minute period from Wednesday, 14 October 2020 at 15:47 UTC to Wednesday, 21 October 2020 at 19:37 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 : 24
Unique Edges : 24
Edges With Duplicates : 0
Total Edges : 24
Number of Edge Types : 5
Retweet : 9
MentionsInRetweet : 3
Mentions : 1
Tweet : 9
Replies to : 2
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 12
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 7
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0,7
Graph Density : 0,0271739130434783
Modularity : 0,696615
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 24 Twitter users whose recent tweets contained "XYZ Films", 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, 22 October 2020 at 05:51 UTC.
The tweets in the network were tweeted over the 7-day, 3-hour, 50-minute period from Wednesday, 14 October 2020 at 15:47 UTC to Wednesday, 21 October 2020 at 19:37 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 : XYZ Films
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:
[6] xyz,films [4] brought,film [4] film,production [4] production,finland [4] finland,covid [4] covid,bad [4] bad,suggested [4] suggested,hollywood [4] hollywood,partner [4] partner,xyz Top Word Pairs in Tweet in G1:
[4] brought,film [4] film,production [4] production,finland [4] finland,covid [4] covid,bad [4] bad,suggested [4] suggested,hollywood [4] hollywood,partner [4] partner,xyz [4] xyz,films Top Word Pairs in Tweet in G3:
[2] african,diaspora [2] diaspora,nigeria [2] nigeria,amplify [2] amplify,rn [2] rn,nigerians [2] nigerians,crew [2] crew,class [2] class,sports [2] sports,teams [2] teams,offices Top Word Pairs in Tweet in G6:
[2] footage,monsters [2] monsters,people [2] people,talked [2] talked,monsters [2] monsters,prove [2] prove,carries [2] carries,camera [2] camera,lots [2] lots,films [2] films,monsters Top Word Pairs in Tweet in G7:
[2] started,action [2] action,training [2] training,upcoming [2] upcoming,action [2] action,films [2] films,#tejas [2] #tejas,#dhakaad [2] #dhakaad,play [2] play,fauji [2] fauji,spy Top Word Pairs in Tweet in G8:
[2] spend,30 [2] 30,minutes [2] minutes,watching [2] watching,film [2] film,spend [2] spend,youtube [2] youtube,watching [2] watching,minute [2] minute,clips [2] clips,films Top Word Pairs in Tweet in G9:
[2] color,films [2] films,tokyo Top Word Pairs in Tweet in G10:
[2] films,hindu [2] hindu,man [2] man,muslim [2] muslim,woman [2] woman,muslim [2] muslim,protested [2] protested,gadar [2] gadar,muslims' [2] muslims',objection [2] objection,'hindustan Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: