The graph represents a network of 137 Twitter users whose recent tweets contained "NetworkKansas", 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 Friday, 22 November 2019 at 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 1-minute period from Wednesday, 13 November 2019 at 08:41 UTC to Friday, 22 November 2019 at 12:42 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 : 137
Unique Edges : 378
Edges With Duplicates : 512
Total Edges : 890
Self-Loops : 24
Reciprocated Vertex Pair Ratio : 0.14018691588785
Reciprocated Edge Ratio : 0.245901639344262
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 136
Maximum Edges in a Connected Component : 889
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.464292
Graph Density : 0.0261914984972091
Modularity : 0.246671
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 137 Twitter users whose recent tweets contained "NetworkKansas", 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 Friday, 22 November 2019 at 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 1-minute period from Wednesday, 13 November 2019 at 08:41 UTC to Friday, 22 November 2019 at 12:42 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 : NetworkKansas
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:
[55] networkkansas,ecomm_ks [26] ecomm_ks,#kseship [24] steveradley3,epedersenks [19] networkkansas,steveradley3 [12] amazing,organization [11] panel,discussion [11] discussion,networkkansas [10] proud,sponsor [10] sponsor,next [10] next,startupgrindict Top Word Pairs in Tweet in G1:
[19] steveradley3,epedersenks [15] networkkansas,steveradley3 [10] networkkansas,ecomm_ks [9] panel,discussion [9] discussion,networkkansas [9] proud,sponsor [9] sponsor,next [9] next,startupgrindict [9] startupgrindict,featuring [9] featuring,networkkansas Top Word Pairs in Tweet in G2:
[12] networkkansas,ecomm_ks [6] ecomm_ks,#kseship [5] greatplainstmc,usda [5] usda,kansascommerce [5] kansascommerce,nexgen4youth [5] nexgen4youth,sba_wichita [5] sba_wichita,fromthelandofks [5] fromthelandofks,kansasdeptofag [4] first,event [4] economic,development Top Word Pairs in Tweet in G3:
[16] networkkansas,ecomm_ks [9] bank,headquartered [8] ecomm_ks,#kseship [6] headquartered,wichita [5] amazing,organization [5] great,bend [4] steveradley3,epedersenks [4] ecomm_ks,impact [4] million,leveraged [4] loans,investments Top Word Pairs in Tweet in G4:
[14] networkkansas,ecomm_ks [9] ecomm_ks,#kseship [4] ice,house [4] check,out [4] loans,investments [4] ecomm_ks,networkkansas [3] working,press [3] press,release [3] release,name [3] name,first Top Word Pairs in Tweet in G5:
[3] steveradley3,networkkansas [3] networkkansas,ecomm_ks [3] ecomm_ks,downtownwichita [3] downtownwichita,ictbizkseminoff [3] ictbizkseminoff,greater_wichita [3] greater_wichita,chamberwichita [3] des,moines [2] chamberwichita,ve [2] ve,few [2] few,sharp Top Word Pairs in Tweet in G6:
[3] deadline,enter [3] enter,application [3] application,youth [3] youth,entrepreneurship [3] entrepreneurship,challenge [3] challenge,friday [3] friday,nov [3] nov,15 [3] 15,great [3] great,opportunity Top Word Pairs in Tweet in G7:
[2] usd109,pike_valley 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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Top Tweeters in G9: