The graph represents a network of 17,160 Twitter users whose recent tweets contained "Port of Oakland", 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 Wednesday, 24 June 2020 at 17:53 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 20-minute period from Saturday, 20 June 2020 at 07:23 UTC to Wednesday, 24 June 2020 at 17:43 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 : 17160
Unique Edges : 20898
Edges With Duplicates : 331
Total Edges : 21229
Number of Edge Types : 5
Replies to : 300
Tweet : 215
Retweet : 17797
MentionsInRetweet : 2807
Mentions : 110
Self-Loops : 219
Reciprocated Vertex Pair Ratio : 0.000191745362159053
Reciprocated Edge Ratio : 0.000383417205847112
Connected Components : 147
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 16874
Maximum Edges in a Connected Component : 20925
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.775157
Graph Density : 7.08613025764375E-05
Modularity : 0.799521
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 17,160 Twitter users whose recent tweets contained "Port of Oakland", 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 Wednesday, 24 June 2020 at 17:53 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 20-minute period from Saturday, 20 June 2020 at 07:23 UTC to Wednesday, 24 June 2020 at 17:43 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 : Port of Oakland
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:
[15059] port,oakland [10222] angela,davis [10101] west,coast [9961] shut,down [8286] down,port [7365] ports,along [7363] along,west [6025] protest,against [5119] went,strike [4705] oakland,angela Top Word Pairs in Tweet in G1:
[4533] port,oakland [4531] oakland,angela [4531] angela,davis [4531] davis,#oaklandprotest [4531] #oaklandprotest,#blm [2] oakland,rally [2] rally,becoming [2] becoming,march [2] march,group [2] group,huge Top Word Pairs in Tweet in G2:
[2960] port,oakland [2937] angela,davis [2912] shut,down [2900] police,brutality [2897] against,police [2897] west,coast [2895] down,port [2895] ports,along [2895] along,west [2894] oakland,28 Top Word Pairs in Tweet in G3:
[2765] port,oakland [2739] shut,down [2739] west,coast [2737] down,port [2737] ports,along [2737] along,west [2737] protest,against [2691] thousands,anti [2691] anti,racist [2691] racist,dockworkers Top Word Pairs in Tweet in G4:
[2460] west,coast [2283] went,strike [2221] part,#strikeforblacklives [2221] #strikeforblacklives,#juneteenth2020 [2221] #juneteenth2020,protests [2221] protests,ilwu [2221] ilwu,dockworkers [2221] dockworkers,went [2221] strike,west [2221] coast,ports Top Word Pairs in Tweet in G5:
[2784] shut,down [1443] port,oakland [1418] west,coast [1417] down,port [1417] ports,along [1417] along,west [1407] angela,davis [1395] 29,ports [1389] longshoremen,shut [1367] davis,today Top Word Pairs in Tweet in G6:
[979] port,oakland [926] shut,down [903] down,port [825] incredible,scene [825] scene,right [825] right,protesters [825] protesters,shut [109] west,coast [78] ports,along [78] along,west Top Word Pairs in Tweet in G7:
[663] port,oakland [346] west,coast [284] juneteenth,rally [275] port,shutdown [246] coast,port [232] shutdown,juneteenth [215] march,port [204] angela,davis [179] live,video [179] port,#oakland Top Word Pairs in Tweet in G8:
[382] port,oakland [376] angela,davis [194] davis,scesa [194] scesa,manifestanti [194] manifestanti,non [194] non,cosa [194] cosa,più [194] più,bella [194] bella,_________ [194] _________,port Top Word Pairs in Tweet in G9:
[319] port,oakland [167] angela,davis [162] davis,juneteenth [162] juneteenth,2020 [162] 2020,port [150] shut,down [147] etats,unis [147] unis,milliers [147] milliers,dockers [147] dockers,port Top Word Pairs in Tweet in G10:
[152] port,oakland [138] angela,davis [108] thousands,protesters [104] following,speech [104] speech,angela [104] davis,crowd [104] crowd,thousands [104] protesters,begin [104] begin,marching [104] marching,port Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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: