The graph represents a network of 552 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, 07 November 2019 at 12:09 UTC.
The requested start date was Wednesday, 06 November 2019 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 96-day, 17-hour, 45-minute period from Thursday, 01 August 2019 at 06:28 UTC to Wednesday, 06 November 2019 at 00:13 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 : 552
Unique Edges : 571
Edges With Duplicates : 342
Total Edges : 913
Number of Edge Types : 3
Mentions : 571
Replies to : 7
Tweet : 335
Self-Loops : 335
Reciprocated Vertex Pair Ratio : 0.0336842105263158
Reciprocated Edge Ratio : 0.065173116089613
Connected Components : 160
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 168
Maximum Edges in a Connected Component : 350
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.071868
Graph Density : 0.001614324416739
Modularity : 0.582786
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 552 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, 07 November 2019 at 12:09 UTC.
The requested start date was Wednesday, 06 November 2019 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 96-day, 17-hour, 45-minute period from Thursday, 01 August 2019 at 06:28 UTC to Wednesday, 06 November 2019 at 00:13 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[91] small,businesses [80] big,brands [79] anticounterfeiting,measures [79] crush,small [78] brands,using [78] measures,crush [73] international,anticounterfeiting [70] s,anticounterfeiting [68] amazon,s [67] using,amazon Top Word Pairs in Tweet in G1:
[49] small,businesses [48] anticounterfeiting,measures [47] big,brands [47] brands,using [47] measures,crush [47] crush,small [43] s,anticounterfeiting [42] amazon,s [41] using,amazon [18] businesses,r Top Word Pairs in Tweet in G2:
[62] international,anticounterfeiting [60] ice,acting [60] acting,deputy [60] deputy,director [60] director,derek [60] derek,benner [56] iprcenter,ice [32] benner,providing [32] providing,opening [32] opening,remarks Top Word Pairs in Tweet in G3:
[21] small,businesses [20] crush,small [19] big,brands [19] brands,using [19] anticounterfeiting,measures [19] measures,crush [16] using,amazon [16] amazon,s [16] s,anticounterfeiting [16] wrote,rubie's Top Word Pairs in Tweet in G4:
[20] #anticounterfeiting,#brandprotection [17] #brandprotection,#anticounterfeiting [7] customs,seize [6] #counterfeiting,#intellectualproperty [6] consumers,believe [5] #intellectualproperty,#brandprotection [5] #brandprotection,#cosmosips [5] #counterfeit,goods [5] fino,domani [5] domani,siamo Top Word Pairs in Tweet in G5:
[5] ip,advisory [5] advisory,board [5] international,anticounterfeiting [3] beers,winning [3] winning,strategy [3] strategy,t [3] t,beat [3] beat,em [3] em,join [3] join,em Top Word Pairs in Tweet in G6:
[18] rue,print [18] print,kenya's [18] kenya's,bank [18] bank,notes [18] notes,doing [18] doing,new [18] new,uk [18] uk,20 [18] 20,note [18] note,delarueplc Top Word Pairs in Tweet in G7:
[11] put,#geomapping [11] #geomapping,action [11] action,revolutionize [11] revolutionize,intelligence [11] intelligence,capabilities [11] capabilities,vs [10] ma_margain,put [10] vs,#counterfeiting [8] #counterfeiting,vcervieri [8] vcervieri,chair Top Word Pairs in Tweet in G8:
[18] #vipplst,delighted [17] 2nd,annual [10] board,speaker [8] new,speaker [8] annual,pharma [7] speaker,2nd [6] pharma,packaging [6] track,trace [5] packaging,labelling [5] trace,2019 Top Word Pairs in Tweet in G9:
[23] social,media [22] media,buying [11] biggest,influence [11] influence,social [11] buying,behavior [11] behavior,brand [11] brand,reputation [11] reputation,explore [11] explore,consumers [11] consumers,shopping Top Word Pairs in Tweet in G10:
[7] booth,n [6] learn,more [5] september,24 [5] n,224 [5] new,forensic [5] forensic,authentication [5] authentication,feature [5] feature,pharmaceutical [5] pharmaceutical,labels [5] labels,now 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 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 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: