The graph represents a network of 3,719 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 Saturday, 09 November 2019 at 09:54 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, 10-hour, 5-minute period from Thursday, 24 October 2019 at 14:45 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 : 3719
Unique Edges : 3933
Edges With Duplicates : 2835
Total Edges : 6768
Number of Edge Types : 3
Mentions : 4360
Tweet : 2279
Replies to : 129
Self-Loops : 2279
Reciprocated Vertex Pair Ratio : 0.0316970546984572
Reciprocated Edge Ratio : 0.0614464382816748
Connected Components : 1011
Single-Vertex Connected Components : 557
Maximum Vertices in a Connected Component : 889
Maximum Edges in a Connected Component : 2868
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.589579
Graph Density : 0.000265996646330483
Modularity : 0.582377
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,719 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 Saturday, 09 November 2019 at 09:54 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, 10-hour, 5-minute period from Thursday, 24 October 2019 at 14:45 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:
[4031] ø,ø [3711] ù,ø [3539] ø,ù [2108] ù,ù [612] à,à [464] ø,ùˆø [303] #ø,ù [297] ù,ùš [290] ø,_ø [290] #tech,#ip Top Word Pairs in Tweet in G1:
[94] à,à [62] ã,ã [33] intellectual,property [18] ãƒ,ã [17] #ai,#ip [17] #ip,#law [15] #ip,#intellectualproperty [14] ã,ム[12] t,co [12] ip,address 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:
[3820] ø,ø [3434] ù,ø [3285] ø,ù [1927] ù,ù [421] ø,ùˆø [282] ù,ùš [282] #ø,ù [274] ø,_ø [270] _ø,ù [270] ùšø,ø Top Word Pairs in Tweet in G4:
[58] intellectual,property [48] ð,ð [39] conference,#ip [27] value,addition [27] addition,business [27] business,competitiveness [27] competitiveness,sustainable [24] international,conference [24] #ip,#innovation [24] #innovation,value Top Word Pairs in Tweet in G5:
[29] find,out [21] out,more [19] #licensing,franchising [19] franchising,#ip [19] #ip,many [19] many,benefits [19] benefits,including [19] including,increased [19] increased,revenue [19] 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:
[124] í,ˆì [124] ì,ˆ [124] ë,ì [124] í,ê [124] ê,í [64] #cbs,_fm [64] #army,#bts [64] #bts,#concert [64] #concert,#seoul [62] kipoworld,#ë 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 [14] #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,actorsâ [7] actorsâ,fbi's [7] fbi's,wray Top Word Pairs in Tweet in G10:
[155] #ip,#law [15] intellectual,property [11] ip,conference [10] ðÿ,ðÿ [8] 2019,#ip [8] conference,smes [7] #sme,s [6] #ip,#patents [6] smes,use [6] use,intellectual 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:
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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: