The graph represents a network of 97 Twitter users whose tweets in the requested range contained "#dataSciBowl", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 July 2021 at 17:42 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 77-day, 18-hour, 33-minute period from Monday, 05 April 2021 at 22:13 UTC to Tuesday, 22 June 2021 at 16:47 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 : 97
Unique Edges : 311
Edges With Duplicates : 969
Total Edges : 1280
Number of Edge Types : 5
MentionsInRetweet : 867
Mentions : 276
Retweet : 127
Tweet : 2
Replies to : 8
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.112765957446809
Reciprocated Edge Ratio : 0.202676864244742
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 96
Maximum Edges in a Connected Component : 1280
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.175564
Graph Density : 0.056164089347079
Modularity : 0.220311
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 97 Twitter users whose tweets in the requested range contained "#dataSciBowl", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 05 July 2021 at 17:42 UTC.
The requested start date was Monday, 05 July 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 77-day, 18-hour, 33-minute period from Monday, 05 April 2021 at 22:13 UTC to Tuesday, 22 June 2021 at 16:47 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 : GraphServerTwitterSearch
Graph Term : #dataSciBowl
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:
[91] #datascibowl,nodexl [60] nodexl,salhaj [55] chidambara09,eli_krumova [54] salhaj,chidambara09 [49] chidambara09,salhaj [48] veracitiz,fmfrancoise [31] fmfrancoise,#datascibowl [29] eli_krumova,boozallen [29] salhaj,gp_pulipaka [29] gp_pulipaka,pythonexpertbot Top Word Pairs in Tweet in G1:
[78] #datascibowl,nodexl [50] nodexl,salhaj [50] chidambara09,eli_krumova [48] salhaj,chidambara09 [43] veracitiz,fmfrancoise [31] fmfrancoise,#datascibowl [28] eli_krumova,boozallen [25] chidambara09,salhaj [23] boozallen,fmfrancoise [23] eli_krumova,veracitiz Top Word Pairs in Tweet in G2:
[23] chidambara09,salhaj [23] salhaj,gp_pulipaka [23] gp_pulipaka,pythonexpertbot [23] pythonexpertbot,globaliqx [23] globaliqx,cybersec_feeds [23] cybersec_feeds,ingliguori [23] ingliguori,eli_krumova [23] eli_krumova,analytics_699 [23] analytics_699,andi_staub [23] andi_staub,lan Top Word Pairs in Tweet in G3:
[13] #datascibowl,nodexl [10] nodexl,salhaj [6] salhaj,chidambara09 [6] salhaj,bagaluesunab [6] bagaluesunab,kioninadine [6] kioninadine,oapaynigeria [6] oapaynigeria,kambojananya [6] kambojananya,nilimajumder [6] nilimajumder,sdg2030 [6] sdg2030,sdgoals Top Word Pairs in Tweet in G4:
[8] convert,images [8] images,bit [8] bit,images [8] images,using [8] using,python [8] python,day44 [8] day44,#100daysofcode [8] #100daysofcode,#python [8] #python,#machinelearning [7] vyom_srivastava,convert Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: