The graph represents a network of 3,453 Twitter users whose tweets in the requested range contained "#sportsbiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 November 2019 at 04:49 UTC.
The requested start date was Monday, 11 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, 9-hour, 23-minute period from Monday, 28 October 2019 at 15:32 UTC to Monday, 11 November 2019 at 00:56 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 : 3453
Unique Edges : 4884
Edges With Duplicates : 2840
Total Edges : 7724
Number of Edge Types : 3
Mentions : 5964
Replies to : 108
Tweet : 1652
Self-Loops : 1652
Reciprocated Vertex Pair Ratio : 0.0473372781065089
Reciprocated Edge Ratio : 0.0903954802259887
Connected Components : 383
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2341
Maximum Edges in a Connected Component : 5757
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.442244
Graph Density : 0.000430629620270751
Modularity : 0.590381
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,453 Twitter users whose tweets in the requested range contained "#sportsbiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 November 2019 at 04:49 UTC.
The requested start date was Monday, 11 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, 9-hour, 23-minute period from Monday, 28 October 2019 at 15:32 UTC to Monday, 11 November 2019 at 00:56 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 : #sportsbiz
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:
[196] #nfl,#fantasyfootball [196] #fantasyfootball,#teams [163] #sportbusiness,#sportsbiz [138] fantasy,football [130] football,week [105] #teams,#review [104] week,9 [100] #sportsbiz,#football [100] week,10 [99] chris_adf1,released Top Word Pairs in Tweet in G1:
[61] cnbc,#sportsbiz [48] people,together [45] morning,cnbc [45] #sportsbiz,read [41] david,stern [40] jabarijyoung,morning [29] read,spoke [29] spoke,former [29] former,#nba [29] #nba,commish Top Word Pairs in Tweet in G2:
[29] corporate,partners [26] less,more [26] more,golden [26] golden,state [26] state,warriors [26] warriors,cut [26] cut,corporate [26] partners,109 [26] 109,70 [26] 70,move Top Word Pairs in Tweet in G3:
[8] #team,#unitedkingdom [7] #sportsbetting,#sportspicks [7] #sportspicks,#sports [7] #sports,#winning [7] #winning,#winner [7] #winner,#parlay [7] #parlay,#freepicks [7] #freepicks,#entrepreneur [7] #entrepreneur,#vegas [7] #vegas,#dfs Top Word Pairs in Tweet in G4:
[31] #sportsbiz,#sportsmarketing [14] #sportsbiz,#smsports [12] w,teams [11] #smsports,#nfl100 [9] fan,engagement [8] social,media [8] nfl,week [8] twitter,according [8] according,zoomph [8] zoomph,featured Top Word Pairs in Tweet in G5:
[12] rugby,world [11] television,channel [9] 4,spotify [9] spotify,tidal [9] tidal,amongst [9] amongst,nfl's [9] nfl's,new [9] new,platforms [9] platforms,bolstered [9] bolstered,digital Top Word Pairs in Tweet in G6:
[33] #agenbola,#agenjudi [33] #judionline,#judibola [33] #judibola,#bandarbola [33] #sports,#sportsbiz [33] #sportsbiz,#sepakbola [27] #sepakbola,#seniormasteragen [22] #seniormasteragen,#indonesia [22] #bandarbola,#sport [22] #sport,#sports [21] #agenjudi,#judionline Top Word Pairs in Tweet in G7:
[38] #sportstech,#sportsbiz [29] #sportsmarketing,#sportsbiz [13] high,school [13] droneraceleague,roborace [13] roborace,investing [13] investing,technologies [13] technologies,see [13] see,ai [13] ai,drones [13] drones,cars Top Word Pairs in Tweet in G8:
[20] billionaires,buy [20] buy,mls [20] mls,make [20] make,money [19] money,explanation [19] explanation,league's [19] league's,complex [19] complex,financial [18] financial,situation [18] bill_shea19,billionaires Top Word Pairs in Tweet in G9:
[7] latest,forbessports [7] forbessports,share [7] share,women [7] women,having [7] having,major [7] major,impact [7] impact,sports [7] sports,revenue [7] revenue,#womeninsports [6] #rlwc2021,needs Top Word Pairs in Tweet in G10:
[161] #sportbusiness,#sportsbiz [91] #sportsbiz,#football [28] #sportsbiz,#sportif [25] #sportsbiz,#sportsmanagement [19] #sportsbiz,#management [16] world,cup [14] social,media [14] media,marketing [13] offre,stage [12] #foot,#sportsbiz Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: