The graph represents a network of 428 Twitter users whose tweets in the requested range contained "ruralfutures", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 November 2019 at 05:43 UTC.
The requested start date was Thursday, 28 November 2019 at 23:42 UTC and the maximum number of tweets (going backward in time) was 10,000.
The tweets in the network were tweeted over the 85-day, 15-hour, 3-minute period from Tuesday, 03 September 2019 at 23:46 UTC to Thursday, 28 November 2019 at 14:50 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 : 428
Unique Edges : 668
Edges With Duplicates : 1087
Total Edges : 1755
Self-Loops : 90
Reciprocated Vertex Pair Ratio : 0.0759951749095295
Reciprocated Edge Ratio : 0.141255605381166
Connected Components : 12
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 400
Maximum Edges in a Connected Component : 1717
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.942855
Graph Density : 0.0048808247061656
Modularity : 0.335789
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 428 Twitter users whose tweets in the requested range contained "ruralfutures", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 November 2019 at 05:43 UTC.
The requested start date was Thursday, 28 November 2019 at 23:42 UTC and the maximum number of tweets (going backward in time) was 10,000.
The tweets in the network were tweeted over the 85-day, 15-hour, 3-minute period from Tuesday, 03 September 2019 at 23:46 UTC to Thursday, 28 November 2019 at 14:50 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 : ruralfutures
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:
[91] gt,gt [45] #rural,#nebraska [35] #suicide,rate [35] rate,adults [35] adults,rose [35] rose,41 [35] 41,over [35] over,17 [35] 17,years [35] years,rural Top Word Pairs in Tweet in G1:
[5] karaforcongress,nebraskamegan [5] siliconprairie,jakebe5 [5] jakebe5,ruralfutures [5] ruralfutures,jeggers [5] jeggers,troymprice [5] troymprice,askdrconnie [5] ruralfutures,cfra [4] nebraskamegan,janekleeb [4] janekleeb,siliconprairie [4] chrisdunkerljs,journalstarnews Top Word Pairs in Tweet in G2:
[73] gt,gt [25] #rural,#nebraska [13] 10,17 [12] summer,2020 [11] thriving,index [9] apply,10 [9] 10,25 [8] check,out [8] online,tool [7] eric,thompson Top Word Pairs in Tweet in G3:
[19] #rural,#nebraska [16] gt,gt [15] thriving,index [13] quality,life [12] nebraska,thriving [11] economic,quality [10] life,benchmarking [10] benchmarking,tool [9] eric,thompson [9] first,economic Top Word Pairs in Tweet in G4:
[6] cfra,ruralfutures [6] ruralhealthinfo,cfra [4] cfra,ruralhealthinfo [3] great,opportunity [3] opportunity,students [3] students,make [3] make,difference [3] difference,ne [3] ne,learn [3] learn,invaluable Top Word Pairs in Tweet in G5:
[35] #suicide,rate [35] rate,adults [35] adults,rose [35] rose,41 [35] 41,over [35] over,17 [35] 17,years [35] years,rural [35] rural,rate [35] rate,25 Top Word Pairs in Tweet in G6:
[7] ruraledstudents,cfra [6] cfra,ruralfutures [5] excited,co [5] co,editing [5] editing,edition [5] edition,dr [5] dr,kiah [5] kiah,smith [5] smith,support [5] support,qutphsw Top Word Pairs in Tweet in G7:
[8] jeremyhl,unosml [7] unomaha,communo [6] unosml,super [6] super,#tech [6] #tech,brian [6] brian,nodexl [6] nodexl,running [6] running,new [6] new,cfam [6] cfam,unomaha Top Word Pairs in Tweet in G9:
[7] interested,future [7] future,rural [7] rural,places [7] places,reading [7] reading,stuff [7] stuff,people [7] people,doing [6] craigpollett,interested Top Word Pairs in Tweet in G10:
[2] #ruralpolicy,#ruraldev [2] david,douglas [2] douglas,proof [2] proof,pudding [2] pudding,2040 [2] 2040,target [2] target,history [2] history,leading [2] leading,plan [2] plan,highlights 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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