The graph represents a network of 399 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 Saturday, 12 January 2019 at 01:37 UTC.
The requested start date was Saturday, 12 January 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 71-day, 19-hour, 14-minute period from Thursday, 01 November 2018 at 03:54 UTC to Friday, 11 January 2019 at 23:08 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 : 399
Unique Edges : 495
Edges With Duplicates : 475
Total Edges : 970
Number of Edge Types : 3
Mentions : 670
Tweet : 274
Replies to : 26
Self-Loops : 274
Reciprocated Vertex Pair Ratio : 0.024
Reciprocated Edge Ratio : 0.046875
Connected Components : 100
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 115
Maximum Edges in a Connected Component : 391
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 1.966333
Graph Density : 0.00322414075389479
Modularity : 0.4652
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[169] dedicated,anticounterfeiting [162] hall,9 [162] 9,booth [162] booth,9 [162] 9,c04 [161] india,expo [153] acgworldwide,dedicated [151] expo,centre [150] greater,noida [147] c04,india Top Word Pairs in Tweet in G1:
[163] dedicated,anticounterfeiting [155] hall,9 [155] 9,booth [155] booth,9 [155] 9,c04 [153] india,expo [148] acgworldwide,dedicated [147] greater,noida [143] expo,centre [140] c04,india Top Word Pairs in Tweet in G2:
[6] holoprint,fightagainstcounterfeiting [5] hard,drives [5] drives,blockchain [4] blockchain,anticounterfeiting [4] blockchain,ibmblockchainplatforrm [4] ibmblockchainplatforrm,anticounterfeiting [4] blockchain,ibm [4] ibm,anticounterfeiting [3] intellectual,property [3] brand,protection Top Word Pairs in Tweet in G3:
[8] anti,counterfeiting [6] aluko,oyebode [6] oyebode,partner [5] partner,oghogho [5] oghogho,makinde [5] makinde,2nd [5] 2nd,right [5] right,discusses [5] discusses,current [5] current,state Top Word Pairs in Tweet in G4:
[31] brand,protection [29] new,global [26] markmonitor,new [23] cyber,threats [18] new,research [18] research,finds [18] protection,strategies [17] finds,82 [17] 82,companies [17] companies,changed Top Word Pairs in Tweet in G5:
[47] evident,proof's [24] blockchain,evident [22] participate,here [20] evident,proof [12] proof,platform [12] unhackable,anticounterfeiting [11] proof's,blockchain [11] here,unhackable [11] compliance,duediligence [10] anticounterfeiting,evidentproof Top Word Pairs in Tweet in G6:
[6] anticounterfeiting,brandprotection [5] counterfeit,goods [3] counterfeit,weed [3] weed,vape [3] vape,cartridges [3] cartridges,flooding [3] flooding,black [3] black,markets [3] markets,anticounterfeiting [2] half,uk Top Word Pairs in Tweet in G7:
[2] superfici,strutturate [2] strutturate,per [2] per,nascondere [2] nascondere,informazioni [2] informazioni,nuova [2] nuova,soluzione [2] soluzione,per [2] per,anticontraffazione [2] anticontraffazione,da [2] da,ucf Top Word Pairs in Tweet in G8:
[8] t,lead [8] lead,brand [8] brand,protection [8] protection,lead [8] lead,global [8] global,commerce [8] commerce,michael [8] michael,evans [8] evans,president [7] essec,t Top Word Pairs in Tweet in G9:
[16] contact,now [9] now,know [8] know,more [5] neurotags,neurotags [5] now,learn [5] neurotags,digital [5] engagement,contact [4] digital,engagement [4] engagement,suite [4] suite,helps Top Word Pairs in Tweet in G10:
[6] more,one [6] one,four [6] four,26 [6] 26,uk [6] uk,consumers [6] consumers,fooled [6] fooled,buying [6] buying,counterfeit [6] counterfeit,product [6] product,shopping Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: