The graph represents a network of 167 Twitter users whose tweets in the requested range contained "southu", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 09 December 2020 at 19:08 UTC.
The requested start date was Tuesday, 08 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 66-day, 17-hour, 27-minute period from Thursday, 01 October 2020 at 20:55 UTC to Monday, 07 December 2020 at 14:22 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 : 167
Unique Edges : 120
Edges With Duplicates : 185
Total Edges : 305
Number of Edge Types : 5
Mentions : 135
Retweet : 43
MentionsInRetweet : 58
Replies to : 19
Tweet : 50
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.0118343195266272
Reciprocated Edge Ratio : 0.0233918128654971
Connected Components : 20
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 120
Maximum Edges in a Connected Component : 269
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.481156
Graph Density : 0.00616838611932761
Modularity : 0.486657
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 167 Twitter users whose tweets in the requested range contained "southu", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 09 December 2020 at 19:08 UTC.
The requested start date was Tuesday, 08 December 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 66-day, 17-hour, 27-minute period from Thursday, 01 October 2020 at 20:55 UTC to Monday, 07 December 2020 at 14:22 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 : southu
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 Entire Graph:
[31] dosthu,bada [31] bada,dosthuuu [31] dosthuuu,dosthuku [31] dosthuku,illai [31] illai,vasthuuu [31] vasthuuu,southu [31] southu,muthal [31] muthal,northuuu [31] northuuu,solli [31] solli,kodi Top Word Pairs in Tweet in G1:
[31] dosthu,bada [31] bada,dosthuuu [31] dosthuuu,dosthuku [31] dosthuku,illai [31] illai,vasthuuu [31] vasthuuu,southu [31] southu,muthal [31] muthal,northuuu [31] northuuu,solli [31] solli,kodi Top Word Pairs in Tweet in G2:
[6] southu,nodexl [6] nodexl,southu [5] southu,docassar [5] top,hashtags [5] hashtags,#southuniversity [4] need_a_diet_don,fatlummox [4] gaboardhcw,acadpublishing [4] fetchacure,ethosvethealth [3] scott_health_1,top [3] #southuniversity,#master Top Word Pairs in Tweet in G3:
[14] south,university [6] newest,blog [4] #southuniversity,#blog [4] many,different [4] living,hiv [4] resist,zero [4] zero,sum [4] sum,hr1044 [4] hr1044,#universitycrash [4] #universitycrash,#newimmigrationban Top Word Pairs in Tweet in G5:
[3] people,single [3] single,country [3] country,more [3] more,gcs [3] gcs,year [3] year,still [3] still,longer [3] longer,waitline [3] waitline,outsourcing [3] outsourcing,companies Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: