The graph represents a network of 89 Twitter users whose tweets in the requested range contained "polinode", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 October 2019 at 23:43 UTC.
The requested start date was Thursday, 31 October 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 67-day, 8-hour, 27-minute period from Wednesday, 07 August 2019 at 21:08 UTC to Monday, 14 October 2019 at 05:36 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 : 89
Unique Edges : 108
Edges With Duplicates : 144
Total Edges : 252
Number of Edge Types : 3
Mentions : 229
Replies to : 15
Tweet : 8
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.09375
Reciprocated Edge Ratio : 0.171428571428571
Connected Components : 9
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 80
Maximum Edges in a Connected Component : 244
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.301981
Graph Density : 0.0178753830439224
Modularity : 0.320437
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 89 Twitter users whose tweets in the requested range contained "polinode", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 October 2019 at 23:43 UTC.
The requested start date was Thursday, 31 October 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 67-day, 8-hour, 27-minute period from Wednesday, 07 August 2019 at 21:08 UTC to Monday, 14 October 2019 at 05:36 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 : polinode
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[25] top,10 [25] 10,twitter [23] network,twitter [22] view,interactive [22] interactive,network [17] twitter,interactions [16] polinode,view [12] twitter,influencers [9] influencers,total [9] staciagarr,aladamsen Top Word Pairs in Tweet in G1:
[11] top,10 [11] 10,twitter [10] network,twitter [9] view,interactive [9] interactive,network [8] twitter,interactions [8] twitter,influencers [7] influencers,total [6] total,connections [4] martinhoyes,david_green_uk Top Word Pairs in Tweet in G2:
[10] top,10 [10] 10,twitter [9] polinode,view [9] view,interactive [9] interactive,network [9] network,twitter [7] ravenintell,ihrim [7] ihrim,hrtechconf [7] hrtechconf,#hrtechconf [7] #futureofwork,#hrtech Top Word Pairs in Tweet in G3:
[4] polinode,view [4] view,interactive [4] interactive,network [4] network,twitter [4] twitter,interactions [4] interactions,#pafow [4] #pafow,philadelphia [4] philadelphia,top [4] top,10 [4] 10,twitter Top Word Pairs in Tweet in G5:
[8] enterprise,account [7] polinode,enterprise [7] account,executive Top Word Pairs in Tweet in G6:
[3] town,hall [3] hall,#42 [3] #42,brings [3] brings,update [3] update,people [3] people,ops [3] ops,offsite [3] offsite,engagement [3] engagement,survey [3] survey,organizational Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Tweeters in Entire Graph:
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Top Tweeters in G8: