The graph represents a network of 166 Twitter users whose tweets in the requested range contained "#cws", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 October 2019 at 09:31 UTC.
The requested start date was Sunday, 27 October 2019 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 12-day, 9-hour, 15-minute period from Sunday, 13 October 2019 at 05:25 UTC to Friday, 25 October 2019 at 14:40 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 : 166
Unique Edges : 162
Edges With Duplicates : 24
Total Edges : 186
Number of Edge Types : 3
Mentions : 143
Tweet : 36
Replies to : 7
Self-Loops : 36
Reciprocated Vertex Pair Ratio : 0.00684931506849315
Reciprocated Edge Ratio : 0.0136054421768707
Connected Components : 41
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 50
Maximum Edges in a Connected Component : 50
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.810494
Graph Density : 0.00536692223439211
Modularity : 0.751012
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 166 Twitter users whose tweets in the requested range contained "#cws", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 27 October 2019 at 09:31 UTC.
The requested start date was Sunday, 27 October 2019 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 12-day, 9-hour, 15-minute period from Sunday, 13 October 2019 at 05:25 UTC to Friday, 25 October 2019 at 14:40 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 : #cws
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[50] 10,22 [50] 22,15 [50] 15,four [50] four,years [50] years,well [50] well,spent [50] spent,three [50] three,straight [50] straight,ncaa [50] ncaa,tournament Top Word Pairs in Tweet in G1:
[50] 10,22 [50] 22,15 [50] 15,four [50] four,years [50] years,well [50] well,spent [50] spent,three [50] three,straight [50] straight,ncaa [50] ncaa,tournament Top Word Pairs in Tweet in G2:
[16] #館山,#安房フォーラム支援隊 [11] #台風19号,#館山 [11] #安房フォーラム支援隊,では [11] では,#cws [11] #cws,japan [11] japan,と協働しています [11] と協働しています,church [11] church,world [11] world,service [10] awabunka_npo,#台風19号 Top Word Pairs in Tweet in G3:
[2] best,wines [2] #gina,#rodriguez [2] #ps45,#ps45q [2] #ps45q,#nycdoe [2] #nycdoe,#district27 [2] #district27,#district27nyc [2] #district27nyc,#district27nycdoe [2] #district27nycdoe,#publicschoolnyc [2] #publicschoolnyc,#nycschools [2] #nycschools,#nycschool Top Word Pairs in Tweet in G4:
[7] series,masters [7] masters,here [7] here,players [7] players,won [7] won,#cws [7] #cws,mlb [7] mlb,#worldseries [6] ncaacws,series [6] #worldseries,#ncaaba [2] big,time Top Word Pairs in Tweet in G5:
[9] mouth,hurts [9] hurts,t [9] t,laugh [9] laugh,more [9] more,week [9] week,omg [9] omg,bear [9] bear,markets [9] markets,never [9] never,fun Top Word Pairs in Tweet in G6:
[5] treavturner,second [5] second,ncstatebaseball [5] ncstatebaseball,player [5] player,play [5] play,both [5] both,#cws [5] #cws,#worldseries [5] #worldseries,pitcher [4] packtimpeeler,treavturner Top Word Pairs in Tweet in G7:
[4] monumental,news [4] news,caribbean [4] caribbean,canadian [4] canadian,community [4] community,time [4] time,#caribbeanheritagemonth [4] #caribbeanheritagemonth,tag [4] tag,friends [4] friends,thx [3] ourcws,monumental Top Word Pairs in Tweet in G8:
[3] great,talk [3] talk,jenni_pro [3] jenni_pro,#nwrc [3] #nwrc,#plasticpollution [3] #plasticpollution,#canada [3] #canada,#environmentcanada [3] #environmentcanada,#cws [2] valeriewynja,great Top Word Pairs in Tweet in G9:
[4] citizen,science [4] science,plays [4] plays,key [4] key,role [4] role,wildlife [4] wildlife,conservation [4] conservation,proud [4] proud,bird_wells [4] bird_wells,organization [4] organization,#eccc Top Word Pairs in Tweet in G10:
[2] one,more [2] more,title [2] title,s [2] s,win [2] win,one [2] one,tonight [2] tonight,bring [2] bring,trophy [2] trophy,home [2] home,ann Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: