The graph represents a network of 91 Twitter users whose recent tweets contained "salfordbizsch", 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 Thursday, 05 December 2019 at 18:38 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 5-minute period from Tuesday, 26 November 2019 at 19:08 UTC to Thursday, 05 December 2019 at 14:13 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 : 91
Unique Edges : 210
Edges With Duplicates : 187
Total Edges : 397
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.0731707317073171
Reciprocated Edge Ratio : 0.136363636363636
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 91
Maximum Edges in a Connected Component : 397
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.478445
Graph Density : 0.0322344322344322
Modularity : 0.391481
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 91 Twitter users whose recent tweets contained "salfordbizsch", 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 Thursday, 05 December 2019 at 18:38 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 5-minute period from Tuesday, 26 November 2019 at 19:08 UTC to Thursday, 05 December 2019 at 14:13 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 : TwitterSearch
Graph Term : salfordbizsch
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:
[14] fit,bears [14] through,adopting [12] good,luck [11] new,technologies [10] #fanfit,fit [10] bears,app [9] business,owners [8] uosmediacity,salfordbizsch [8] small,business [8] leading,grow Top Word Pairs in Tweet in G1:
[8] good,luck [6] events,management [6] management,students [6] raise,funds [5] international,events [4] read,more [4] more,below [4] #mondaymotivation,student [4] student,mum [4] mum,2 Top Word Pairs in Tweet in G2:
[14] fit,bears [10] #fanfit,fit [10] bears,app [8] uosmediacity,salfordbizsch [7] roof,utcmediacityuk [7] part,#creativeent [7] esports,vr [6] great,trip [6] trip,rangersfc [6] rangersfc,today Top Word Pairs in Tweet in G3:
[5] graduating,today [4] congratulations,salfordbizsch [4] salfordbizsch,msc [4] msc,sporting [4] sporting,directorship [4] directorship,graduating [4] today,great [4] great,achievement [4] achievement,superb [4] superb,cohort Top Word Pairs in Tweet in G4:
[14] through,adopting [8] sme,wanting [8] wanting,grow [8] grow,#innovate [8] #innovate,increase [8] increase,#productivity [8] #productivity,through [8] adopting,#digital [8] #digital,new [8] new,#technologies Top Word Pairs in Tweet in G6:
[2] juicyvamosi,jaycyokpeahior 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 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: