The graph represents a network of 293 Twitter users whose tweets in the requested range contained "anticounterfeiting", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 February 2020 at 14:42 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 71-day, 10-hour, 45-minute period from Monday, 02 December 2019 at 07:09 UTC to Tuesday, 11 February 2020 at 17:54 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 : 293
Unique Edges : 246
Edges With Duplicates : 254
Total Edges : 500
Number of Edge Types : 4
MentionsInRetweet : 149
Replies to : 8
Mentions : 117
Tweet : 226
Self-Loops : 226
Reciprocated Vertex Pair Ratio : 0.0424528301886792
Reciprocated Edge Ratio : 0.081447963800905
Connected Components : 108
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 33
Maximum Edges in a Connected Component : 66
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.76726
Graph Density : 0.00258310346439759
Modularity : 0.509523
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 293 Twitter users whose tweets in the requested range contained "anticounterfeiting", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 13 February 2020 at 14:42 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 71-day, 10-hour, 45-minute period from Monday, 02 December 2019 at 07:09 UTC to Tuesday, 11 February 2020 at 17:54 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 : anticounterfeiting
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:
[42] anti,counterfeiting [21] #brandprotection,#anticounterfeiting [19] brand,protection [17] #anticounterfeiting,#brandprotection [17] acg,inspection [15] 8th,annual [15] annual,pharma [14] inspection,provides [14] provides,blockchain [14] blockchain,based Top Word Pairs in Tweet in G1:
[13] anti,counterfeiting [7] acg,inspection [6] acgworldwide,acg [6] inspection,provides [6] provides,blockchain [6] blockchain,based [6] based,advanced [6] advanced,solutions [6] solutions,tracking [6] tracking,anti Top Word Pairs in Tweet in G2:
[15] 8th,annual [15] annual,pharma [10] serialisation,2020 [9] pharma,anticounterfeiting [8] anticounterfeiting,serialisation [7] #vipacs,glad [7] glad,welcome [7] welcome,speaker [6] #vipacs,introducing [6] introducing,speaker Top Word Pairs in Tweet in G3:
[3] customs,border [3] border,busted [3] busted,half [3] half,billion [3] billion,dollars [3] dollars,worth [3] worth,counterfeit [3] counterfeit,goods [3] goods,being [3] being,smuggled Top Word Pairs in Tweet in G4:
[12] 2019,#anticounterfeiting [12] #anticounterfeiting,news [7] world,trademark [7] trademark,review [6] favorites,2019 [6] editors,picks [6] news,recap [4] customs,see [4] see,massive [4] massive,surge Top Word Pairs in Tweet in G5:
[6] puf,labels [5] #nanotech,researchers [5] researchers,developed [5] developed,physical [5] physical,unclonable [5] unclonable,function [5] function,puf [5] labels,based [5] based,gap [5] gap,enhanced Top Word Pairs in Tweet in G7:
[4] co,founders [4] founders,oodeez [4] oodeez,tosinadelowo_ [4] tosinadelowo_,sat [4] sat,down [4] down,markus [4] markus,becker [4] becker,ideaseedafrica1 [4] ideaseedafrica1,talk [4] imagine,bought Top Word Pairs in Tweet in G8:
[5] 26,27 [3] encore,temps [3] temps,inscrire [3] inscrire,forum [3] forum,#européen [3] #européen,#propriétéintellectuelle [3] #propriétéintellectuelle,#pi [3] #pi,#unifab [3] #unifab,26 [3] 27,mars Top Word Pairs in Tweet in G9:
[4] look,forward [4] forward,meeting [4] meeting,ces [4] ces,vegas [4] vegas,oe [4] oe,pavilion [4] pavilion,sands [4] sands,expo [4] expo,level [4] level,halls Top Word Pairs in Tweet in G10:
[4] bargain,unfortunate [4] unfortunate,cost [4] cost,2019 [4] 2019,#blackfriday [4] #blackfriday,sale [4] sale,already [4] already,ended [4] ended,surge [4] surge,#fakes [3] fake,#cosmetic Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: