The graph represents a network of 257 Twitter users whose recent tweets contained "#LeadDevBerlin", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 04 November 2022 at 15:48 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 20-minute period from Wednesday, 26 October 2022 at 18:25 UTC to Friday, 04 November 2022 at 15:46 UTC.
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 : 257
Unique Edges : 511
Edges With Duplicates : 869
Total Edges : 1380
Number of Edge Types : 5
Mentions : 501
Replies to : 26
Tweet : 395
Retweet : 302
MentionsInRetweet : 156
Self-Loops : 396
Reciprocated Vertex Pair Ratio : 0.177263969171484
Reciprocated Edge Ratio : 0.30114566284779
Connected Components : 33
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 209
Maximum Edges in a Connected Component : 1317
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.834591
Graph Density : 0.00928684338521401
Modularity : 0.234004
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 257 Twitter users whose recent tweets contained "#LeadDevBerlin", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 04 November 2022 at 15:48 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 20-minute period from Wednesday, 26 October 2022 at 18:25 UTC to Friday, 04 November 2022 at 15:46 UTC.
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 : #LeadDevBerlin
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 Color : In-Degree
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[46] richardcrng,#leaddevberlin [36] #sketchnote,#leaddevberlin [32] lrnrd,#leaddevberlin [31] #leaddevberlin,theleaddev [24] engineering,leaders [23] sponsor,#leaddevberlin [21] #leaddevberlin,nov [17] digital,access [17] #leaddevberlin,_rinaarts_ [17] access,pass Top Word Pairs in Tweet in G1:
[20] sponsor,#leaddevberlin [18] #leaddevberlin,nov [15] access,pass [15] digital,access [10] gold,sponsor [9] silver,sponsor [8] inspirational,talks [8] industry's,leading [8] voices,inspirational [8] leading,voices Top Word Pairs in Tweet in G2:
[23] #sketchnote,#leaddevberlin [20] #leaddevberlin,theleaddev [11] speed,coaching [8] #leaddevberlin,samueljabiodun [7] software,teams [7] #leaddevberlin,elinorswery [7] leading,software [7] coaching,session [7] #leaddevberlin,mipsytipsy [7] samueljabiodun,#leaddevberlin Top Word Pairs in Tweet in G3:
[40] richardcrng,#leaddevberlin [15] engineering,leaders [14] lrnrd,#leaddevberlin [13] entry,level [11] pipeline,problem [10] decisions,end [10] strategic,leadership [10] talent,pyramid [9] short,term [8] jstanier,#leaddevberlin Top Word Pairs in Tweet in G4:
[12] #leaddevberlin,_rinaarts_ [10] lrnrd,#leaddevberlin [9] #leaddevberlin,peterzaitsev [8] #leaddevberlin,richardcrng [8] anitas3791,#leaddevberlin [8] differences,#leaddevberlin [8] smhanda,#leaddevberlin [8] cultural,differences [8] #leaddevberlin,anitas3791 [8] #leaddevberlin,wattxberlin Top Word Pairs in Tweet in G5:
[2] #buhrow,#49euroticket [2] #49euroticket,#leaddevberlin [2] good,#leaddevberlin Top Word Pairs in Tweet in G6:
[15] ability,ship [15] sociotechnical,system [15] ship,code [15] operate,sink [15] system,operate [15] safely,abilities [15] swiftly,safely [15] sink,#leaddevberlin [15] abilities,sociotechnical [15] code,swiftly Top Word Pairs in Tweet in G7:
[11] #sketchnotes,theleaddev [11] #leaddevberlin,#sketchnotes [6] tolkiana,#leaddevberlin [5] leading,introvert [4] introvert,tolkiana [3] #sketchnote,theleaddev [3] introverts,tendency [3] tendency,speaking [3] #leaddevberlin,tolkiana [3] listening,tolkiana Top Word Pairs in Tweet in G8:
[5] booth,breaks [5] chat,leadership [5] good,fit [5] shopifyeng,good [5] leadership,shopifyeng [5] fit,booth [5] breaks,#leaddevberlin [4] #leaddevberlin,jstanier [3] jstanier,#leaddevberlin [3] great,talk Top Word Pairs in Tweet in G9:
[11] tech,european [11] catch,corridors [11] techies,fun [11] creating,tech [11] corridors,techies [11] fun,people [11] week,team [11] team,attending [11] european,unicorn [11] #leaddevberlin,catch Top Word Pairs in Tweet in G10:
[5] #leaddevberlin,#netcetera [4] industry,sponsor [4] empowerment,topic [4] #leaddev,#leaddevberlin [4] energy,interesting [4] community,berlin [4] topic,engineering [4] berlin,office [4] #leaddevberlin,meetup [4] interesting,empowerment Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: