The graph represents a network of 605 Twitter users whose recent tweets contained "WeAreTheFSA", 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 Sunday, 09 May 2021 at 22:06 UTC.
The tweets in the network were tweeted over the 7-day, 0-hour, 33-minute period from Sunday, 02 May 2021 at 15:33 UTC to Sunday, 09 May 2021 at 16:06 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 : 605
Unique Edges : 1339
Edges With Duplicates : 567
Total Edges : 1906
Number of Edge Types : 5
Retweet : 192
Tweet : 45
Mentions : 913
Replies to : 248
MentionsInRetweet : 508
Self-Loops : 51
Reciprocated Vertex Pair Ratio : 0.0628087508821454
Reciprocated Edge Ratio : 0.118193891102258
Connected Components : 13
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 582
Maximum Edges in a Connected Component : 1885
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.761184
Graph Density : 0.00412128509660117
Modularity : 0.543878
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 605 Twitter users whose recent tweets contained "WeAreTheFSA", 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 Sunday, 09 May 2021 at 22:06 UTC.
The tweets in the network were tweeted over the 7-day, 0-hour, 33-minute period from Sunday, 02 May 2021 at 15:33 UTC to Sunday, 09 May 2021 at 16:06 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 : WeAreTheFSA
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:
[71] chelseastrust,wearethefsa [31] fan,led [22] mental,health [22] social,media [22] women's,game [21] kevin,miles [20] led,review [17] episode,six [16] panel,discussion [16] fans,demand Top Word Pairs in Tweet in G1:
[20] mental,health [19] fan,led [15] chair,malcolmjclarke [13] wearethefsa,chair [12] fans,demand [12] demand,input [12] input,board [12] board,level [12] level,news [12] news,update Top Word Pairs in Tweet in G2:
[71] chelseastrust,wearethefsa [15] chelseastrust,ianwright0 [15] ianwright0,wearethefsa [14] 10davef,chelseastrust [10] wearethefsa,theposhofficial [9] palacesam,10davef [9] theposhofficial,englandfootball [8] lcfchelp,lcfc [8] lcfc,wearethefsa [7] season,ticket Top Word Pairs in Tweet in G3:
[15] women's,game [10] pof_pod,kevinhunterday [9] tomorrow,pof_pod [9] kevinhunterday,interview [9] interview,faircop_ [9] faircop_,acts [9] acts,behalf [9] behalf,fans [9] fans,wearethefsa [9] wearethefsa,old Top Word Pairs in Tweet in G4:
[11] anwaru01,wearethefsa [10] kickitout,wearethefsa [6] wearethefsa,kickitout [6] fans,groups [6] groups,bangla [6] bangla,bantams [5] panel,discussion [5] wearethefsa,beesotted [4] sometimes,don [4] don,need Top Word Pairs in Tweet in G5:
[5] fan,owned [5] owned,clubs [4] fcunitedmcr,etfcofficial [4] wearethefsa,afcwimbledon [4] afcwimbledon,afcliverpool [4] afcliverpool,officialburyafc [4] officialburyafc,officialecfc [4] officialecfc,dialsquarefc1 [3] etfcofficial,already [3] already,supporters Top Word Pairs in Tweet in G6:
[2] process,dealing [2] dealing,abuse [2] abuse,hate [2] hate,#grassroots [2] #grassroots,#football [2] #football,needs [2] needs,highlighted [2] highlighted,#fanledreview [2] #fanledreview,wearethefsa [2] wearethefsa,current Top Word Pairs in Tweet in G7:
[6] please,share [6] share,let's [6] let's,make [6] make,fab [6] fab,show [6] show,sunday [6] sunday,mcwfc_osc [6] mcwfc_osc,judemorrisking [6] judemorrisking,chelseawomensg [6] chelseawomensg,thecfcwsocial Top Word Pairs in Tweet in G8:
[7] trustfanpark,trustrovers [7] southernswa1,midlandstrfc [7] thisistranmere,trfccommunity [7] trfccommunity,wearethefsa [7] wearethefsa,neswa3 [6] midlandstrfc,atttmpod [6] atttmpod,thisistranmere [5] trustrovers,trosc_trfc [5] trosc_trfc,southernswa1 [4] roverandout,trustfanpark Top Word Pairs in Tweet in G9:
[20] kevin,miles [16] episode,six [11] wearethefsa,ceo [11] ceo,kevin [11] german,football [11] football,expert [11] expert,kitholden [11] important,episode [11] episode,tune [9] perspective,episode Top Word Pairs in Tweet in G10:
[3] hollieperryx,hollseey [3] hollseey,davidbaker66 [3] davidbaker66,davefckelly [3] davefckelly,ifoodbanks [3] ifoodbanks,westhamoverlan1 [3] westhamoverlan1,avonandsomerrob [3] avonandsomerrob,westhamtransfer [3] westhamtransfer,ryanarcher84 [3] ryanarcher84,iamtomskinner [3] iamtomskinner,westhammatters Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: