The graph represents a network of 106 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 October 2021 at 21:56 UTC.
The requested start date was Tuesday, 05 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 10-hour, 37-minute period from Tuesday, 21 September 2021 at 09:46 UTC to Monday, 04 October 2021 at 20:24 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 : 106
Unique Edges : 122
Edges With Duplicates : 76
Total Edges : 198
Number of Edge Types : 5
Mentions : 93
Replies to : 6
Tweet : 10
Retweet : 31
MentionsInRetweet : 58
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0410958904109589
Reciprocated Edge Ratio : 0.0789473684210526
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 94
Maximum Edges in a Connected Component : 172
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.861155
Graph Density : 0.0136567834681042
Modularity : 0.535832
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 106 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 October 2021 at 21:56 UTC.
The requested start date was Tuesday, 05 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 10-hour, 37-minute period from Tuesday, 21 September 2021 at 09:46 UTC to Monday, 04 October 2021 at 20:24 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 : GraphServerTwitterSearch
Graph Term : merckformothers
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:
[18] 10,years [10] maternal,mortality [8] help,create [8] create,world [8] world,woman [8] woman,die [7] next,10 [7] continuing,celebration [7] celebration,10 [7] 10,year Top Word Pairs in Tweet in G1:
[17] 10,years [8] help,create [8] create,world [8] world,woman [8] woman,die [7] month,celebrate [7] celebrate,10 [7] years,merckformothers [7] merckformothers,global [7] global,initiative Top Word Pairs in Tweet in G2:
[5] atrocious,marakatherine1 [5] marakatherine1,female [5] female,african [5] african,health [5] health,entrepreneurs [5] entrepreneurs,average [5] average,150k [5] 150k,male [5] male,non [5] non,africans Top Word Pairs in Tweet in G4:
[2] omotolathomas8,elisabeth_ildal [2] elisabeth_ildal,merck [2] merck,msdintheuk [2] msdintheuk,usmerckproducts [2] usmerckproducts,merckformothers [2] merckformothers,msdmanualpro [2] msdmanualpro,msdmanualhome Top Word Pairs in Tweet in G6:
[6] maternal,mortality [6] mortality,become [6] become,thing [6] thing,past [6] past,great [6] great,discussion [6] discussion,atayeshe [6] atayeshe,helenclarknz [6] helenclarknz,global [5] kitahara_naomi,maternal Top Word Pairs in Tweet in G8:
[3] event,recap [3] recap,#merckformothers [3] #merckformothers,event [3] event,#blogher [3] #blogher,faithhealthhome Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9: