The graph represents a network of 409 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 Sunday, 24 November 2019 at 02:24 UTC.
The requested start date was Saturday, 23 November 2019 at 20:24 UTC and the maximum number of tweets (going backward in time) was 20,000.
The tweets in the network were tweeted over the 79-day, 6-hour, 25-minute period from Tuesday, 03 September 2019 at 23:46 UTC to Friday, 22 November 2019 at 06:12 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 : 409
Unique Edges : 621
Edges With Duplicates : 1000
Total Edges : 1621
Self-Loops : 89
Reciprocated Vertex Pair Ratio : 0.0741222366710013
Reciprocated Edge Ratio : 0.138014527845036
Connected Components : 12
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 381
Maximum Edges in a Connected Component : 1583
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.05678
Graph Density : 0.00494990172107963
Modularity : 0.347667
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 409 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 Sunday, 24 November 2019 at 02:24 UTC.
The requested start date was Saturday, 23 November 2019 at 20:24 UTC and the maximum number of tweets (going backward in time) was 20,000.
The tweets in the network were tweeted over the 79-day, 6-hour, 25-minute period from Tuesday, 03 September 2019 at 23:46 UTC to Friday, 22 November 2019 at 06:12 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:
[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 G5:
[5] 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 [3] invaluable,leadership Top Word Pairs in Tweet in G6:
[5] excited,co [5] co,editing [5] editing,edition [5] edition,dr [5] dr,kiah [5] kiah,smith [5] smith,support [5] support,qutphsw [5] qutphsw,#ruralsociology [5] #ruralsociology,#ruralfutures Top Word Pairs in Tweet in G7:
[8] jeremyhl,unosml [7] unomaha,communo [6] ruralfutures,unosml [6] unosml,super [6] super,#tech [6] #tech,brian [6] brian,nodexl [6] nodexl,running [6] running,new [6] new,cfam 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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