The graph represents a network of 83 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 Wednesday, 20 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, 22-hour, 44-minute period from Tuesday, 05 November 2019 at 01:49 UTC to Tuesday, 19 November 2019 at 00:34 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 : 83
Unique Edges : 196
Edges With Duplicates : 230
Total Edges : 426
Number of Edge Types : 3
Mentions : 306
Replies to : 52
Tweet : 68
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.156862745098039
Reciprocated Edge Ratio : 0.271186440677966
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 426
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.644506
Graph Density : 0.0346752865119013
Modularity : 0.262081
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 83 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 Wednesday, 20 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, 22-hour, 44-minute period from Tuesday, 05 November 2019 at 01:49 UTC to Tuesday, 19 November 2019 at 00:34 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 [26] 2pm,et [25] thursday,2pm [23] #esn,metrics [20] #esnchat,thursday [19] #measuring,health [17] week,#esnchat [17] #esnchat,going [17] going,talk Top Word Pairs in Tweet in G1:
[17] thursday,2pm [17] 2pm,et [15] #esnchat,thursday [12] international,#workingoutloud [12] #workingoutloud,week [12] week,one [12] one,sleep [12] sleep,away [12] away,special [12] special,guest 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] esnchat,week [6] week,#esnchat [6] #esnchat,going [6] going,talk [6] talk,#measuring [6] #measuring,health [6] health,impact [6] impact,#esn Top Word Pairs in Tweet in G4:
[5] email,meeting [5] 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 Word Pairs in Tweet in G6:
[2] #esn,#esnchat [2] cc,ritazonius [2] 2019,#esnchat 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 Replied-To in G6:
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 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: