The graph represents a network of 3,674 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 Monday, 25 May 2020 at 19:07 UTC.
The requested start date was Monday, 25 May 2020 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 10-day, 21-hour, 59-minute period from Thursday, 14 May 2020 at 02:00 UTC to Monday, 25 May 2020 at 00:00 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 : 3674
Unique Edges : 3267
Edges With Duplicates : 7325
Total Edges : 10592
Number of Edge Types : 5
Tweet : 1259
Mentions : 2703
Replies to : 149
Retweet : 2550
MentionsInRetweet : 3931
Self-Loops : 1299
Reciprocated Vertex Pair Ratio : 0.0492707922743398
Reciprocated Edge Ratio : 0.0939143501126972
Connected Components : 356
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 2643
Maximum Edges in a Connected Component : 8046
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.339232
Graph Density : 0.000394528123171028
Modularity : 0.446852
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,674 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 Monday, 25 May 2020 at 19:07 UTC.
The requested start date was Monday, 25 May 2020 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 10-day, 21-hour, 59-minute period from Thursday, 14 May 2020 at 02:00 UTC to Monday, 25 May 2020 at 00:00 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[133] covid,19 [109] insider,series [95] #sportsmarketing,#sportsbiz [93] during,covid [93] #spinsider,#sportsbiz [92] #sportsbiz,#coronavirus [89] digital,strategy [89] week's,insider [89] looking,forward [87] closed,doors Top Word Pairs in Tweet in G3:
[31] sports,industry [29] monday,night [29] night,#sportsbiz [23] #sportsbiz,networking [20] networking,exercise [16] exercise,effort [14] effort,encourage [13] encourage,sports [12] industry,networking [11] networking,tweet Top Word Pairs in Tweet in G4:
[86] engagement,rate [67] nhl,teams [67] teams,skating [67] skating,way [67] way,covid [67] covid,engaging [67] engaging,social [67] social,content [67] content,check [67] check,teams Top Word Pairs in Tweet in G5:
[86] yaaawn,insert [84] insert,another [84] another,article [84] article,women's [84] women's,sports [84] sports,survive [84] survive,covid19 [84] covid19,idea [84] idea,coverage [84] coverage,going Top Word Pairs in Tweet in G6:
[114] #football,#soccer [114] #sportsbusiness,#sportsbiz [114] #soccer,#sports [114] #sponsorship,#scouting [114] #sports,#sportsbiz [114] #sportsbiz,#sports [114] #scouting,#sportsindustry [114] #sport,#sponsorship [114] #sports,#sport [114] #footballcoaching,#coaches Top Word Pairs in Tweet in G7:
[13] top,#sportsbiz [13] #sportsbiz,news [10] news,morningconsult [9] without,fans [8] back,campus [8] #sportsbiz,#covid_19 [8] students,back [8] campus,fall [7] fall,order [6] order,football Top Word Pairs in Tweet in G8:
[12] jose_m_umana,coryroyster [12] #sports,#sportsbiz [12] back,again [9] coryroyster,meach_33 [8] jose_m_umana,broookksss [7] podcast,know [7] know,time [7] time,broookksss [7] broookksss,talks [7] talks,washwizards Top Word Pairs in Tweet in G9:
[37] #sportsbiz,conversation [36] #jobseeker,#workinsports [27] #workinsports,#sportsbiz [22] case,didn [21] didn,opportunity [20] opportunity,make [20] make,sure [20] sure,watch [20] watch,very [20] very,first Top Word Pairs in Tweet in G10:
[4] watch,watch [4] watch,competitor [4] competitor,see [4] see,those [4] those,dudes [4] dudes,going [4] going,spoke [4] jabarijyoung,watch [4] probably,didn [4] didn,relationship 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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