The graph represents a network of 261 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 200 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 13:42 UTC.
The tweets in the network were tweeted over the 4-day, 13-hour, 26-minute period from Sunday, 17 November 2019 at 23:39 UTC to Friday, 22 November 2019 at 13:06 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 : 261
Unique Edges : 598
Edges With Duplicates : 287
Total Edges : 885
Number of Edge Types : 4
Replies to : 43
Mentions : 696
Retweet : 120
Tweet : 26
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0.0510948905109489
Reciprocated Edge Ratio : 0.0972222222222222
Connected Components : 17
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 211
Maximum Edges in a Connected Component : 804
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.587844
Graph Density : 0.0106100795755968
Modularity : 0.552904
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 261 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 200 tweets. The network was obtained from Twitter on Friday, 22 November 2019 at 13:42 UTC.
The tweets in the network were tweeted over the 4-day, 13-hour, 26-minute period from Sunday, 17 November 2019 at 23:39 UTC to Friday, 22 November 2019 at 13:06 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:
[23] re,interested [23] interested,understanding [23] understanding,data [23] data,colonialism [23] colonialism,few [23] few,minutes [23] minutes,extract [23] extract,talk [23] talk,gave [23] gave,berlin Top Word Pairs in Tweet in G1:
[9] #job,#berlin [9] #berlin,wissenschaftliche [9] wissenschaftliche,mitarbeiter [9] mitarbeiter,bereich [9] bereich,#künstlicheintelligenz [9] #künstlicheintelligenz,gesucht [9] gesucht,#bmwi [9] #bmwi,geförderte [9] geförderte,kompetenzzentrum [9] kompetenzzentrum,_gemeinsamdigit Top Word Pairs in Tweet in G2:
[16] social,media [12] lunch,talk [9] students,hiring [9] hiring,again [9] again,research [9] research,group [9] group,hiig_berlin [9] hiig_berlin,berlin [9] berlin,based [9] based,social Top Word Pairs in Tweet in G4:
[15] melissa_renau,faraondemetal [15] faraondemetal,xes_cat [15] xes_cat,fairbnb_coop [15] fairbnb_coop,katuma_org [15] katuma_org,smart_iberica [15] smart_iberica,smartcityexpo [15] smartcityexpo,bcn_ajuntament [15] bcn_ajuntament,comunificadora [15] comunificadora,altreseconomies [15] altreseconomies,ricardespelt Top Word Pairs in Tweet in G5:
[23] re,interested [23] interested,understanding [23] understanding,data [23] data,colonialism [23] colonialism,few [23] few,minutes [23] minutes,extract [23] extract,talk [23] talk,gave [23] gave,berlin Top Word Pairs in Tweet in G6:
[2] critical,voices [2] #internetgovernance,broad [2] broad,multistakeholder [2] multistakeholder,driven [2] driven,become [2] become,still [2] still,broad [2] broad,enough [2] enough,open [2] open,enough Top Word Pairs in Tweet in G7:
[2] keubiko,pfhcapital [2] pfhcapital,danstringer74 [2] danstringer74,thecashman22 [2] thecashman22,andrewrangeley [2] andrewrangeley,chrisdemuthjr [2] chrisdemuthjr,alluvialcapital [2] alluvialcapital,nachkari Top Word Pairs in Tweet in G8:
[6] rechte,netz [3] rechte,bedienen [3] bedienen,die [3] die,mechanismen [3] mechanismen,sozialer [3] sozialer,netzwerke [3] netzwerke,erfolgreich [3] erfolgreich,mobilisiert [3] mobilisiert,rechte [3] netz,stellen Top Word Pairs in Tweet in G9:
[2] انا,بعد [2] بعد,ماكتب [2] ماكتب,تغريدات [2] تغريدات,حزن [2] حزن,ودراما [2] ودراما,واقفل [2] واقفل,اطلع [2] اطلع,من [2] من,تويتر [2] لاي,لاي Top Word Pairs in Tweet in G10:
[3] ك,ل [2] أ,ح [2] صديق,تي [2] ٱجمل,الإناث [2] الإناث,تلك [2] تلك,المعلقة [2] المعلقة,بين [2] بين,الطفولة [2] الطفولة,و [2] و,الإنوثة 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 G7:
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:
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: