The graph represents a network of 2 281 Twitter users whose recent tweets contained "#maritime", 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 Friday, 20 January 2023 at 12:57 UTC.
The tweets in the network were tweeted over the 10-day, 12-hour, 31-minute period from Monday, 09 January 2023 at 23:52 UTC to Friday, 20 January 2023 at 12:24 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 : 2281
Unique Edges : 2762
Edges With Duplicates : 2812
Total Edges : 5574
Number of Edge Types : 5
Tweet : 1727
Mentions : 1095
Retweet : 1690
MentionsInRetweet : 1019
Replies to : 43
Self-Loops : 1751
Reciprocated Vertex Pair Ratio : 0,0316220238095238
Reciprocated Edge Ratio : 0,0613054453660296
Connected Components : 530
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 806
Maximum Edges in a Connected Component : 2556
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7,271025
Graph Density : 0,000533199504680157
Modularity : 0,513235
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2 281 Twitter users whose recent tweets contained "#maritime", 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 Friday, 20 January 2023 at 12:57 UTC.
The tweets in the network were tweeted over the 10-day, 12-hour, 31-minute period from Monday, 09 January 2023 at 23:52 UTC to Friday, 20 January 2023 at 12:24 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 : #maritime
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[482] in,the [429] #shipping,#maritime [395] #maritime,#seafreight [298] https,t [298] t,co [297] #maritimenews,#maritime [285] of,the [282] check,out [278] #seafreight,#shippingnews [278] #shippingnews,splash_247 Top Word Pairs in Tweet in G1:
[136] #maritime,amp [135] amp,#ship [135] #ship,#news [123] #maritime,#shipping [102] #supplychain,#maritimenetwork [102] #shipping,#supplychain [50] in,the [34] of,the [23] for,the [18] #shipping,#maritime Top Word Pairs in Tweet in G2:
[395] #maritime,#seafreight [281] #maritimenews,#maritime [278] #shippingnews,splash_247 [278] #seafreight,#shippingnews [80] #marinefuels,#maritime [36] #cdnships,#maritime [34] #shippingnews,#maritime [33] #shipping,#shippingnews [33] #seafreight,globaldataplc [30] in,2023 Top Word Pairs in Tweet in G3:
[251] #maritime,#marineinsight [249] #shipping,#maritime [248] check,out [245] out,this [245] this,article [241] https,t [241] t,co [219] #marineinsight,#merchantnavy [216] #merchantnavy,#merchantmarine [215] #merchantmarine,#merchantnavyships Top Word Pairs in Tweet in G4:
[42] 1,000 [39] #ransomware,attack [37] attack,#maritime [37] #maritime,software [33] 000,ships [32] a,#ransomware [32] by,a [32] software,supplier [32] supplier,#dnv [32] impacted,by Top Word Pairs in Tweet in G5:
[19] #marineregulations,#maritime [19] #shipping,#maritime [15] 9,2023 [15] in,#athens [14] 13th,annual [14] presentation,series [14] link's,13th [14] 2023,in [14] #maritime,#investors [14] capital,link's Top Word Pairs in Tweet in G6:
[46] engagement,with [46] #indiannavy,continued [46] people,to [46] enhance,#maritimecooperation [46] continued,#maritime [46] visits,#training [46] with,#friendlynations [46] #yeargoneby2022,#indiannavy [46] connect,defenceminindia [46] #sports,amp Top Word Pairs in Tweet in G7:
[38] human,rights [32] #maritime,#shipping [27] of,the [25] the,sea [22] in,the [20] #recaap,isc [19] rights,law [19] our,event [19] summary,report [19] #humanrights,#maritime Top Word Pairs in Tweet in G8:
[44] #history,#maritime [43] this,post [43] june,2023 [43] age,of [43] maritime,relations [43] 'pirates,ports [43] post,#history [43] rt,and [43] the,diary [43] #maritime,#earlymodern Top Word Pairs in Tweet in G9:
[16] #transport,#maritime [14] #shipping,#transport [9] #maritime,#portuaire [8] de,la [8] monde,#maritime [8] dans,le [7] #maritime,de [6] #maritime,#shipping [6] #sécurité,#maritime [6] du,monde Top Word Pairs in Tweet in G10:
[120] in,the [120] #barley,#sunflowers [120] #corn,#barley [120] black,sea [120] #graindeal,#blackseagraininitiative [120] left,in [120] #sunflowers,#agriculture [120] outbound,carrying [120] sea,grain [120] days,left Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: