The graph represents a network of 413 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 Wednesday, 18 December 2019 at 14:42 UTC.
The requested start date was Wednesday, 18 December 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 77-day, 16-hour, 37-minute period from Tuesday, 01 October 2019 at 06:20 UTC to Tuesday, 17 December 2019 at 22:58 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 : 413
Unique Edges : 463
Edges With Duplicates : 301
Total Edges : 764
Number of Edge Types : 3
Mentions : 513
Tweet : 244
Replies to : 7
Self-Loops : 244
Reciprocated Vertex Pair Ratio : 0.0487804878048781
Reciprocated Edge Ratio : 0.0930232558139535
Connected Components : 99
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 149
Maximum Edges in a Connected Component : 314
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.576975
Graph Density : 0.00252709278544395
Modularity : 0.582036
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 413 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 Wednesday, 18 December 2019 at 14:42 UTC.
The requested start date was Wednesday, 18 December 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 77-day, 16-hour, 37-minute period from Tuesday, 01 October 2019 at 06:20 UTC to Tuesday, 17 December 2019 at 22:58 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:
[39] international,anticounterfeiting [38] anti,counterfeiting [37] #anticounterfeiting,#brandprotection [36] ice,acting [36] acting,deputy [36] deputy,director [36] director,derek [36] derek,benner [34] iprcenter,ice [34] benner,providing Top Word Pairs in Tweet in G1:
[12] anti,counterfeiting [7] #brandprotection,#anticounterfeiting [7] #instagram,#counterfeitgoods [4] #counterfeiting,problem [4] #counterfeitgoods,#fakeproducts [3] measures,ukrainian [3] amendments,customs [3] customs,code [3] code,ukraine [3] warning,anticounterfeiting Top Word Pairs in Tweet in G2:
[26] #anticounterfeiting,#brandprotection [9] 2019,#anticounterfeiting [9] #anticounterfeiting,news [7] customs,seize [6] favorites,2019 [6] #counterfeiting,#intellectualproperty [5] brand,owners [5] #intellectualproperty,#brandprotection [5] #brandprotection,#cosmosips [5] fino,domani Top Word Pairs in Tweet in G3:
[37] international,anticounterfeiting [35] ice,acting [35] acting,deputy [35] deputy,director [35] director,derek [35] derek,benner [33] iprcenter,ice [33] benner,providing [33] providing,opening [33] opening,remarks Top Word Pairs in Tweet in G4:
[6] 8th,annual [6] annual,pharma [6] register,today [6] today,#packaging [6] #packaging,#brandprotection [6] #brandprotection,#costumerengagement [5] pharma,anticounterfeiting [5] ℙ,ℂ [5] ℂ,register [4] anticounterfeiting,serialisation Top Word Pairs in Tweet in G5:
[13] day,#ipcrimeconference [13] #ipcrimeconference,co [13] co,hosted [13] hosted,interpol [13] interpol,directorate [13] directorate,priority [13] priority,crime [13] crime,investigation [13] investigation,south [12] interpol_tigc,day 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,uk [18] uk,20 [18] 20,note [18] note,delarueplc [18] delarueplc,#thenew20 Top Word Pairs in Tweet in G7:
[9] day,tafindia2019 [8] #taf2019,#authentication [7] tafindia2019,#taf2019 [6] #anticounterfeiting,aspaglobal [5] #tenpercent,world's [5] world's,economy [5] economy,running [5] running,#counterfeit [5] #counterfeit,products [5] products,abhishekkgupta Top Word Pairs in Tweet in G8:
[6] #uspto,director [6] director,andrei [6] andrei,iancu [6] iancu,welcomed [6] welcomed,european [6] european,reps [6] reps,visiting [6] visiting,dc [6] dc,special [6] special,#ip Top Word Pairs in Tweet in G9:
[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 G10:
[27] social,media [22] media,buying [11] buying,habits [11] habits,perceptions [11] biggest,influence [11] influence,social [11] buying,behavior [11] behavior,brand [11] brand,reputation [11] reputation,explore Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: