The graph represents a network of 3,732 Twitter users whose tweets in the requested range contained "#ip", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 November 2019 at 09:44 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 12-day, 9-hour, 38-minute period from Thursday, 24 October 2019 at 15:13 UTC to Wednesday, 06 November 2019 at 00:51 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 : 3732
Unique Edges : 3956
Edges With Duplicates : 2833
Total Edges : 6789
Number of Edge Types : 3
Mentions : 4391
Tweet : 2266
Replies to : 132
Self-Loops : 2266
Reciprocated Vertex Pair Ratio : 0.031432545201669
Reciprocated Edge Ratio : 0.0609492988133765
Connected Components : 1007
Single-Vertex Connected Components : 555
Maximum Vertices in a Connected Component : 900
Maximum Edges in a Connected Component : 2885
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.557939
Graph Density : 0.000266301027025676
Modularity : 0.583734
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,732 Twitter users whose tweets in the requested range contained "#ip", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 November 2019 at 09:44 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 12-day, 9-hour, 38-minute period from Thursday, 24 October 2019 at 15:13 UTC to Wednesday, 06 November 2019 at 00:51 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 : #ip
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:
[286] #tech,#ip [284] #innovation,#ip [269] #ip,creation [269] creation,through [269] through,collaborative [269] collaborative,ecosystem [269] ecosystem,comprising [269] startups,innovators [268] omkar_raii,#innovation [268] comprising,academia Top Word Pairs in Tweet in G1:
[33] intellectual,property [17] #ai,#ip [17] #ip,#law [15] #ip,#intellectualproperty [13] 依頼動画,消して逃げた害児railgunxmode君のipや行動まとめ [13] 消して逃げた害児railgunxmode君のipや行動まとめ,ブラクラやウイルスでも自由に可愛がってあげて [13] ブラクラやウイルスでも自由に可愛がってあげて,笑 [13] 笑,#youtube [13] #youtube,#害児 [13] #害児,#railgunxmode Top Word Pairs in Tweet in G2:
[269] #innovation,#ip [269] #ip,creation [269] creation,through [269] through,collaborative [269] collaborative,ecosystem [269] ecosystem,comprising [268] omkar_raii,#innovation [268] comprising,academia [268] academia,industry [268] industry,startups Top Word Pairs in Tweet in G3:
[172] #saudilawconf,#slc [122] #slc,#saudiarabia [114] #saudiarabia,#investsaudi [109] #investsaudi,#fintech [106] saudilawconf,#يحدث_الان [105] #fintech,#ip [78] #السعودية,#استثمر_في_السعودية [75] #الفنتك,#ملكية_فكرية [74] #المؤتمر_السعودي_للقانون,#السعودية [74] #استثمر_في_السعودية,#الفنتك Top Word Pairs in Tweet in G4:
[58] intellectual,property [39] conference,#ip [27] value,addition [27] addition,business [27] business,competitiveness [27] competitiveness,sustainable [24] international,conference [24] #ip,#innovation [24] #innovation,value [24] sustainable,development Top Word Pairs in Tweet in G5:
[28] find,out [20] out,more [18] #licensing,franchising [18] franchising,#ip [18] #ip,many [18] many,benefits [18] benefits,including [18] including,increased [18] increased,revenue [18] revenue,market Top Word Pairs in Tweet in G6:
[17] #patent,#trademark [16] #trademark,#copyright [14] director,andrei [14] andrei,iancu [14] #aipla,#ip [14] #ip,#news [14] #news,#law [11] #law,#copyright [10] #copyright,#ip [9] #uspto,director Top Word Pairs in Tweet in G7:
[71] #박원주_특허청장,#bts [71] #bts,#짝퉁_굿즈 [71] #짝퉁_굿즈,단속 [71] 단속,#일본_수출규제 [71] #일본_수출규제,함께 [71] 함께,해결할 [71] 해결할,방법은 [71] 방법은,#cbs [71] #cbs,_fm [71] _fm,#시사자키_정관용입니다 Top Word Pairs in Tweet in G8:
[17] worldipreview,tweetsnaresh [17] tweetsnaresh,cipam_india [17] cipam_india,bbcworld [17] bbcworld,bmsconnectplus [17] bmsconnectplus,vakilkartlegal [17] vakilkartlegal,the_hindu [17] the_hindu,indianexpress [17] indianexpress,#ip [16] knowledgerajesh,worldipreview [16] #ip,#i Top Word Pairs in Tweet in G9:
[7] chinese,government [7] government,now [7] now,targeting [7] targeting,innovation [7] innovation,through [7] through,wider [7] wider,range [7] range,actors [7] actors,fbi's [7] fbi's,wray Top Word Pairs in Tweet in G10:
[11] ip,conference [8] darts,ip [8] conference,smes [7] #sme,s [7] intellectual,property [6] smes,use [6] use,intellectual [6] property,boost [5] entirl,r [5] r,d 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G10: