The graph represents a network of 688 Twitter users whose recent tweets contained "(microsoft OR MS) viva", 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 Tuesday, 01 June 2021 at 14:19 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 0-minute period from Monday, 24 May 2021 at 14:20 UTC to Tuesday, 01 June 2021 at 13:21 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 : 688
Unique Edges : 754
Edges With Duplicates : 295
Total Edges : 1049
Number of Edge Types : 5
Retweet : 306
MentionsInRetweet : 187
Replies to : 87
Tweet : 250
Mentions : 219
Self-Loops : 257
Reciprocated Vertex Pair Ratio : 0,0382262996941896
Reciprocated Edge Ratio : 0,0736377025036819
Connected Components : 224
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 130
Maximum Edges in a Connected Component : 402
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2,819715
Graph Density : 0,00143656274330591
Modularity : 0,657101
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 688 Twitter users whose recent tweets contained "(microsoft OR MS) viva", 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 Tuesday, 01 June 2021 at 14:19 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 0-minute period from Monday, 24 May 2021 at 14:20 UTC to Tuesday, 01 June 2021 at 13:21 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 : (microsoft OR MS) viva
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 Color : Out-Degree
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[360] microsoft,viva [160] viva,connections [99] viva,topics [68] for,microsoft [49] with,microsoft [44] viva,la [40] how,to [38] to,the [37] up,to [37] to,get Top Word Pairs in Tweet in G1:
[196] microsoft,viva [111] viva,connections [66] viva,topics [53] for,microsoft [37] up,to [33] to,get [30] to,the [29] connections,#msftviva [28] with,microsoft [28] up,and Top Word Pairs in Tweet in G2:
[55] microsoft,viva [29] viva,connections [15] with,microsoft [12] how,to [12] viva,topics [10] curated,organization [10] organization,and [9] connections,curated [9] and,personal [9] personal,experience Top Word Pairs in Tweet in G4:
[38] microsoft,viva [11] at,spscgn [11] office365ug_de,#microsoft365 [10] about,microsoft [10] 13,00 [9] powellsoftware,lounge [7] viva,a [7] a,topic [7] topic,you [7] you,should Top Word Pairs in Tweet in G6:
[18] u,are [9] almaz85148481,hadnetkeleta [9] hadnetkeleta,tiffanyhaddish [9] tiffanyhaddish,viva [9] viva,ms [9] ms,eritrea [9] eritrea,during [9] during,the [9] the,darkness [9] darkness,of Top Word Pairs in Tweet in G7:
[7] o,grafite [7] grafite,de [7] de,são [7] são,paulo [7] paulo,nas [7] nas,páginas [7] páginas,do [7] do,nytimes [7] nytimes,com [7] com,destaque Top Word Pairs in Tweet in G8:
[10] empodera,a [10] a,las [10] las,personas [10] personas,y [10] y,equipos [10] equipos,que [10] que,garantizan [10] garantizan,el [10] el,éxito [10] éxito,de Top Word Pairs in Tweet in G9:
[4] c,viva [4] hlg,blockbuster [4] na,lang [4] viva,film [4] of,all [4] all,time [2] lolita_dam,#tbadnboycottmzetxapt86 [2] #tbadnboycottmzetxapt86,kung [2] kung,totoo [2] totoo,marunong Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: