The graph represents a network of 3,677 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 Wednesday, 24 April 2019 at 15:11 UTC.
The requested start date was Tuesday, 23 April 2019 at 00:01 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 11-day, 11-hour, 53-minute period from Thursday, 11 April 2019 at 12:02 UTC to Monday, 22 April 2019 at 23:56 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 : 3677
Unique Edges : 5181
Edges With Duplicates : 2656
Total Edges : 7837
Number of Edge Types : 3
Mentions : 6121
Tweet : 1634
Replies to : 82
Self-Loops : 1634
Reciprocated Vertex Pair Ratio : 0.038209185642609
Reciprocated Edge Ratio : 0.0736059479553903
Connected Components : 361
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 2669
Maximum Edges in a Connected Component : 6198
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.268368
Graph Density : 0.000398027558895502
Modularity : 0.599237
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[339] mascots,#sportsbiz [338] terrifying,mascots [338] #sportsbiz,state [338] state,agree [338] agree,disagree [338] disagree,discuss [337] chris_grosse,terrifying [71] #sports,#sportsbiz [71] first,league [70] #eredivisie,first Top Word Pairs in Tweet in G1:
[31] sign,up [19] up,free [18] #sheisequal,event [18] #sportsbiz,newsletter [17] tiger,woods [15] free,#sportsbiz [12] interested,#sportsbiz [12] #sportsbiz,sign [12] daily,email [12] email,newsletter Top Word Pairs in Tweet in G2:
[333] terrifying,mascots [333] mascots,#sportsbiz [333] #sportsbiz,state [333] state,agree [333] agree,disagree [333] disagree,discuss [332] chris_grosse,terrifying [6] experiences,future [6] future,#sportsbiz [5] #smsports,#sportsbiz Top Word Pairs in Tweet in G3:
[26] wnba,nearly [26] nearly,doubling [26] doubling,national [26] national,tv [26] tv,exposure [26] exposure,multiyear [26] multiyear,deal [26] deal,cbs [26] cbs,sports [26] sports,cbs Top Word Pairs in Tweet in G4:
[21] #sports,#sportsbiz [18] #sportsbiz,#sportsmarketing [14] #sportsbiz,#sports [11] april,2019 [11] #agensbobet,#sbobet [11] #sbobet,#agenbola [11] #agenbola,#agenjudionline [11] #marketingdeportivo,#marketingesportivo [11] #marketingesportivo,#sportsbiz [11] #sportsbiz,#sportmarketing Top Word Pairs in Tweet in G5:
[57] close,securing [55] triple,current [55] current,earnings [55] earnings,75m [54] psg,reportedly [54] reportedly,close [54] securing,extension [54] extension,kit [54] kit,supplier [54] supplier,nike Top Word Pairs in Tweet in G6:
[31] #sportsmarketing,#sportsbiz [18] #sportstech,#sportsbiz [10] sports,technology [9] yahoo,sports [8] technology,awards [8] awards,ceremony [8] ceremony,2nd [8] 2nd,#sportstech [7] check,out [7] sportin_global,vebens Top Word Pairs in Tweet in G7:
[29] women,s [28] s,sport [24] handbook,business [24] business,women [18] specialist,#sportsbiz [17] manager,#sportsbiz [15] seahawks,looking [14] looking,fan [14] fan,development [14] development,manager Top Word Pairs in Tweet in G8:
[67] first,league [66] #eredivisie,first [66] league,europe [66] europe,redistribute [66] redistribute,revenues [66] revenues,#uefa [66] #uefa,competitions [66] competitions,future [66] future,#ajax [65] sbi_barcelona,#eredivisie Top Word Pairs in Tweet in G9:
[12] look,inside [9] today,doors [9] doors,open [9] open,beautiful [9] beautiful,new [9] new,home [9] home,mnufc [9] mnufc,allianzfield [9] allianzfield,take [9] take,look Top Word Pairs in Tweet in G10:
[18] #sportsdestinations,#sportsbusiness [17] #sportsbusiness,#sportsbiz [12] sports,betting [6] #sportsdestinations,#sportsbiz [6] #sportsbiz,#sportsbusiness [5] legal,sports [5] according,sponsor [5] sponsor,tn [5] tn,#sportsbetting [5] #sportsbetting,bill Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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