The graph represents a network of 3,912 Twitter users whose recent tweets contained "#BanLiveExports", 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 Monday, 14 June 2021 at 17:11 UTC.
The tweets in the network were tweeted over the 5-hour, 0-minute period from Monday, 14 June 2021 at 11:19 UTC to Monday, 14 June 2021 at 16:20 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 : 3912
Unique Edges : 13286
Edges With Duplicates : 38912
Total Edges : 52198
Number of Edge Types : 5
Retweet : 12697
MentionsInRetweet : 23532
Mentions : 12648
Tweet : 2914
Replies to : 407
Self-Loops : 3091
Reciprocated Vertex Pair Ratio : 0.00270329912832395
Reciprocated Edge Ratio : 0.0053920220082531
Connected Components : 251
Single-Vertex Connected Components : 231
Maximum Vertices in a Connected Component : 3638
Maximum Edges in a Connected Component : 51895
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.15991
Graph Density : 0.00118792154057639
Modularity : 0.223327
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,912 Twitter users whose recent tweets contained "#BanLiveExports", 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 Monday, 14 June 2021 at 17:11 UTC.
The tweets in the network were tweeted over the 5-hour, 0-minute period from Monday, 14 June 2021 at 11:19 UTC to Monday, 14 June 2021 at 16:20 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 : #BanLiveExports
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5217] eu_commission,eu_health [5189] eu_health,euagri [3059] animali,vivi [2660] animali,allevati [2424] euagri,rivedere [2376] animal,welfare [2319] #banliveexports,#stoptrasportoanimalivivi [2182] allevati,scopo [2182] scopo,alimentare [2145] milioni,animali Top Word Pairs in Tweet in G1:
[1669] eu_commission,eu_health [1658] eu_health,euagri [1123] animal,welfare [770] urge,eu_commission [751] farmed,animals [741] animali,allevati [729] animals,transported [723] euagri,rivedere [722] animali,vivi [712] long,distances Top Word Pairs in Tweet in G2:
[1857] eu_commission,eu_health [1845] eu_health,euagri [1786] animali,vivi [1513] animali,allevati [1408] #banliveexports,#stoptrasportoanimalivivi [1294] euagri,rivedere [1256] allevati,scopo [1256] scopo,alimentare [1209] ogni,anno [1168] lunghe,distanze Top Word Pairs in Tweet in G3:
[1564] eu_commission,eu_health [1547] eu_health,euagri [1240] jwojc,euagri [1233] eu_commission,eucouncil [1230] euagri,eu_health [1223] eucouncil,jwojc [692] farmed,animals [674] m_mccormackmp,d_littleproudmp [659] long,distances [620] sandragallina,skyriakideseu Top Word Pairs in Tweet in G4:
[111] eu_commission,eu_health [111] #banliveexports,#stopptlebendtiertransporte [108] eu_health,euagri [100] #exportaçãovergonha,#banliveexports [89] live,exports [80] vandaag,internationale [80] animal,welfare [76] #banliveexports,#banliveexports [72] sign,petition [71] internationale,actiedag Top Word Pairs in Tweet in G5:
[140] sign,petition [93] live,exports [90] millions,animals [88] animals,suffer [88] eu,live [88] exports,long [88] long,distance [88] distance,transport [87] year,millions [87] suffer,result Top Word Pairs in Tweet in G6:
[282] #livetransport,#banliveexports [195] animales,vivos [194] #banliveexports,#noanimalleftbehind [125] transporte,animales [108] firma,lograr [108] lograr,protección [108] protección,#livetransport [98] concienciación,transporte [97] día,concienciación [96] hoy,día Top Word Pairs in Tweet in G7:
[172] #banliveexports,#banliveexports [68] everyone,needs [43] ok,#banliveexports [35] live,export [34] needs,see [34] see,everyone [34] needs,know [34] know,live [34] export,means [34] means,animals Top Word Pairs in Tweet in G8:
[47] άθλιες,συνθήκες [43] από,το [43] το,πρωί [43] πρωί,σήμερα [43] σήμερα,τρέχει [43] τρέχει,η [43] η,διεθνής [43] διεθνής,διαδικτυακή [43] διαδικτυακή,εκστρατεία [43] εκστρατεία,#banliveexports Top Word Pairs in Tweet in G9:
[27] każdego,roku [25] #stoplivetransport,#banliveexports [24] ue,krajów [24] krajów,trzecich [23] #banliveexports,#stoptransportowiżywychzwierząt [22] wzywamy,euinpl [22] dobrostan,zwierząt [19] eu_health,euagri [17] zabierz,głos [17] zwierząt,hodowlanych Top Word Pairs in Tweet in G10:
[38] #canlıhayvanticaretiyasaklansın,#banliveexports [38] hayvan,ticareti [24] canlı,hayvan [15] 14,haziran [15] haziran,canli [15] canli,hayvan [15] ticareti,yasaklansin [15] yasaklansin,uluslararasi [15] uluslararasi,farkindalik [15] farkindalik,günü Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
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: