The graph represents a network of 80 Twitter users whose tweets in the requested range contained "#esnchat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 November 2019 at 14:26 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 7-hour, 30-minute period from Tuesday, 05 November 2019 at 01:49 UTC to Monday, 18 November 2019 at 09:20 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 : 80
Unique Edges : 193
Edges With Duplicates : 223
Total Edges : 416
Number of Edge Types : 3
Replies to : 51
Mentions : 297
Tweet : 68
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.160804020100503
Reciprocated Edge Ratio : 0.277056277056277
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 80
Maximum Edges in a Connected Component : 416
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.632188
Graph Density : 0.0365506329113924
Modularity : 0.258931
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 80 Twitter users whose tweets in the requested range contained "#esnchat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 November 2019 at 14:26 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 7-hour, 30-minute period from Tuesday, 05 November 2019 at 01:49 UTC to Monday, 18 November 2019 at 09:20 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 : #esnchat
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:
[32] health,impact [27] impact,#esn [24] 2pm,et [23] thursday,2pm [23] #esn,metrics [19] #measuring,health [18] #esnchat,thursday [17] week,#esnchat [17] #esnchat,going [17] going,talk Top Word Pairs in Tweet in G1:
[15] thursday,2pm [15] 2pm,et [13] #esnchat,thursday [12] health,impact [12] impact,#esn [10] international,#workingoutloud [10] #workingoutloud,week [10] week,one [10] one,sleep [10] sleep,away Top Word Pairs in Tweet in G2:
[7] health,impact [5] check,out [4] #esnchat,11 [4] 11,7 [4] 7,2019 [4] 2019,measuring [4] measuring,health [4] impact,esn [4] last,week's [3] ve,quoted Top Word Pairs in Tweet in G3:
[9] #esn,metrics [7] ðÿ,ðÿ [6] thursday,2pm [6] 2pm,et [6] esnchat,week [6] week,#esnchat [6] #esnchat,going [6] going,talk [6] talk,#measuring [6] #measuring,health Top Word Pairs in Tweet in G4:
[6] email,meeting [6] meeting,culture [4] #wrapup,todays [4] todays,#esnchat [4] #esnchat,found [4] found,blogpost [4] blogpost,more [4] more,healthy [4] healthy,email [3] marc_habenicht,#wrapup Top Word Pairs in Tweet in G5:
[15] esnchat,#esnchat [6] health,impact [5] impact,#esn [4] #esnchat,a4 [4] jennifercreinin,caikjaer [4] caikjaer,simongterry [4] simongterry,erich13 [4] erich13,togyjose [4] togyjose,dennis_pearce [4] dennis_pearce,ahschlueter Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: