The graph represents a network of 164 Twitter users whose recent tweets contained "#DataSciChat", 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 Saturday, 16 November 2019 at 13:36 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 59-minute period from Friday, 08 November 2019 at 18:15 UTC to Saturday, 16 November 2019 at 13:15 UTC.
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 : 164
Unique Edges : 319
Edges With Duplicates : 527
Total Edges : 846
Self-Loops : 154
Reciprocated Vertex Pair Ratio : 0.0226700251889169
Reciprocated Edge Ratio : 0.0443349753694581
Connected Components : 5
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 159
Maximum Edges in a Connected Component : 842
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.247311
Graph Density : 0.015187789914709
Modularity : 0.201261
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 164 Twitter users whose recent tweets contained "#DataSciChat", 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 Saturday, 16 November 2019 at 13:36 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 59-minute period from Friday, 08 November 2019 at 18:15 UTC to Saturday, 16 November 2019 at 13:15 UTC.
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 : #DataSciChat
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[100] boozallen,pbskids [82] #datascience,bowl [75] pbskids,kaggle [69] ht,kirkdborne [66] check,out [64] transform,#edtech [62] #datascichat,#datascibowl [59] #bigdata,#datascience [58] join,boozallen [54] kirkdborne,#datascichat Top Word Pairs in Tweet in G1:
[35] boozallen,pbskids [35] transform,#edtech [31] pbskids,kaggle [30] #datascience,bowl [29] 1pm,est [25] join,boozallen [23] follow,#datascichat [23] learn,more [22] #datascichat,#datascibowl [22] twitter,chat Top Word Pairs in Tweet in G2:
[31] #bigdata,#datascience [31] video,games [25] #datascience,#ai [25] social,good [22] #data4good,#ai4socialgood [20] #datascience,bowl [20] boozallen,pbskids [18] check,out [15] #ai,#machinelearning [15] #machinelearning,#data4good Top Word Pairs in Tweet in G3:
[9] #datascichat,#datascibowl [8] pbs,kids [7] check,out [7] boozallen,pbskids [5] kids,measure [5] measure,up [4] data,science [4] transform,#edtech [4] design,learning [3] 2019,#datascibowl Top Word Pairs in Tweet in G4:
[69] ht,kirkdborne [51] kirkdborne,#datascichat [36] boozallen,pbskids [32] november,14 [29] #datascience,bowl [27] kirk,borne [27] pbskids,kaggle [25] borne,kirkdborne [25] 14,2019 [24] kirkdborne,november Top Word Pairs in Tweet in G5:
[9] hi,#edutwitter [9] #edutwitter,#datascichat [9] #datascichat,newbie [9] newbie,data [9] data,world [9] world,hoping [9] hoping,help [9] help,anyone [9] anyone,recommend [9] recommend,good Top Word Pairs in Tweet in G6:
[3] hire,dedicated [3] dedicated,staff [3] staff,comgenux [3] comgenux,systems [3] systems,stay [3] stay,easy [3] easy,#jobsearch [3] #jobsearch,#hr [3] #hr,#hiring [3] #hiring,#boomeradvice Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 G8:
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: