The graph represents a network of 298 Twitter users whose recent tweets contained "HIIG", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 14 November 2019 at 14:24 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 55-minute period from Tuesday, 05 November 2019 at 16:02 UTC to Thursday, 14 November 2019 at 13:58 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 : 298
Unique Edges : 583
Edges With Duplicates : 405
Total Edges : 988
Self-Loops : 30
Reciprocated Vertex Pair Ratio : 0.0534124629080119
Reciprocated Edge Ratio : 0.101408450704225
Connected Components : 16
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 250
Maximum Edges in a Connected Component : 934
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.489284
Graph Density : 0.00802205500192077
Modularity : 0.43972
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 298 Twitter users whose recent tweets contained "HIIG", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 14 November 2019 at 14:24 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 55-minute period from Tuesday, 05 November 2019 at 16:02 UTC to Thursday, 14 November 2019 at 13:58 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 : TwitterSearch
Graph Term : HIIG
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[27] shoshana,zuboff [26] hiig_berlin,bpb_de [21] hiig_berlin,bredowinstitut [20] sense,digital [20] hiig_berlin,jwi_berlin [20] #zuboffberlin,#digitalsociety [19] surveillance,capitalism [19] jwi_berlin,hiig_berlin [17] #digitalsociety,#zuboffberlin [16] shoshanazuboff,hiig_berlin Top Word Pairs in Tweet in G1:
[20] hiig_berlin,bpb_de [17] shoshana,zuboff [16] sense,digital [13] #zuboffberlin,#digitalsociety [13] digital,society [13] series,'making [13] 'making,sense [12] livestream,sozialwissenschaftlerin [12] sozialwissenschaftlerin,autorin [12] autorin,shoshana Top Word Pairs in Tweet in G2:
[2] policyinternet,bnonnecke [2] citrispolicylab,ctspberkeley Top Word Pairs in Tweet in G3:
[20] hiig_berlin,bredowinstitut [11] today's,#youthigf2019 [11] #youthigf2019,webinar [11] webinar,talked [11] talked,safety [11] safety,online [11] online,cybersecurity [11] cybersecurity,w [11] w,guest [11] guest,expert Top Word Pairs in Tweet in G4:
[9] shoshanazuboff,hiig_berlin [8] surveillance,capitalism [8] s,problem [8] problem,google [8] google,funds [7] question,asked [7] hiig_berlin,#digitalsociety [6] shoshana,zuboff [5] surveillance,#capitalism [4] hiig,#digitaltransformation Top Word Pairs in Tweet in G5:
[19] jwi_berlin,hiig_berlin [18] hiig_berlin,jwi_berlin [15] pukberlin,fu_berlin [10] keynote,time [10] time,#digikomm2019 [10] #digikomm2019,shoshanazuboff [10] shoshanazuboff,watch [10] watch,lifestream [10] lifestream,here [10] here,jwi_berlin Top Word Pairs in Tweet in G8:
[2] قد,تراني [2] تراني,أمامك [2] أمامك,مبسوط [2] مبسوط,وخلفك [2] وخلفك,أيضا [2] أيضا,بلاش [2] بلاش,دراما [2] دراما,فواز [2] فواز,باقر [2] اللهم,صل Top Word Pairs in Tweet in G9:
[4] nächste,woche [4] woche,gibt's [4] gibt's,#digitaledemokratie [4] #digitaledemokratie,zum [4] zum,anfassen [4] anfassen,#bumberlin [4] #bumberlin,21 [4] 21,11 [4] 11,stellen [4] stellen,sich Top Word Pairs in Tweet in G10:
[5] mckettemann,dryhairtogo [4] btw,written [4] written,mini [4] mini,essay [4] essay,myth [4] myth,ai [4] ai,fix [4] fix,publication [4] publication,mckettemann [4] dryhairtogo,prepared Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: