The graph represents a network of 2,353 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 November 2019 at 19:32 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 13-hour, 33-minute period from Tuesday, 05 November 2019 at 11:26 UTC to Monday, 11 November 2019 at 01:00 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 : 2353
Unique Edges : 4870
Edges With Duplicates : 4910
Total Edges : 9780
Number of Edge Types : 3
Mentions : 8992
Tweet : 729
Replies to : 59
Self-Loops : 729
Reciprocated Vertex Pair Ratio : 0.0351093860268172
Reciprocated Edge Ratio : 0.0678370547128004
Connected Components : 141
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 2064
Maximum Edges in a Connected Component : 9434
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.24326
Graph Density : 0.00106012443226334
Modularity : 0.400237
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,353 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 November 2019 at 19:32 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 13-hour, 33-minute period from Tuesday, 05 November 2019 at 11:26 UTC to Monday, 11 November 2019 at 01:00 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 : #FinServ
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:
[1849] gt,gt [581] #fintech,#finserv [376] financial,services [347] #fintech,#banking [340] #banking,#finserv [327] mikequindazzi,gt [323] #finserv,#fintech [301] gt,#pwc [298] #pwc,mikequindazzi [276] #vc,#fintech Top Word Pairs in Tweet in G1:
[228] ty,wef [165] wef,enricomolinari [138] v,enricomolinari [120] digitaltrends,enricomolinari [102] ty,digitaltrends [102] ty,seeker [102] seeker,enricomolinari [97] enricomolinari,#retailtech [97] gt,gt [95] enricomolinari,#3dprinting Top Word Pairs in Tweet in G2:
[328] #fintech,#finserv [310] #banking,#finserv [291] #fintech,#banking [261] #vc,#fintech [232] gt,gt [173] #finance,#banks [147] #finserv,#cryptocurrency [139] #cryptocurrency,#finance [134] #finserv,#banking [128] https,t Top Word Pairs in Tweet in G3:
[1276] gt,gt [224] mikequindazzi,gt [200] gt,#pwc [198] financial,services [197] #pwc,mikequindazzi [196] link,gt [125] gt,mikequindazzi [114] #finserv,#fintech [99] gt,#finserv [98] bit,blockchain Top Word Pairs in Tweet in G4:
[149] gt,gt [23] gt,#pwc [23] #pwc,mikequindazzi [23] mikequindazzi,gt [22] bristowcolin,insurtechforum [21] #api,#cloud [21] #cloud,#cryptocurrency [21] #cryptocurrency,#iot [18] ðÿ,ðÿ [15] glossary,#infographics Top Word Pairs in Tweet in G5:
[18] #fintech,#finserv [8] #finserv,#disruptionadvantage [6] à,à [5] #finserv,#banking [4] nudge,right [4] right,direction [4] direction,small [4] small,steps [4] steps,encourage [4] encourage,people Top Word Pairs in Tweet in G6:
[27] 101blockchains,enricomolinari [25] ty,101blockchains [18] #blockchain,technology [16] gt,gt [14] need,#blockchain [14] 101blockchains,mikequindazzi [12] really,need [12] technology,101blockchains [11] observatore2,really [11] mikequindazzi,observatore Top Word Pairs in Tweet in G7:
[42] #tech,#fintech [42] #fintech,#finserv [40] ð,ð [38] #finserv,#ai [38] #ai,#insurtech [37] #insurtech,#machinelearning [37] #machinelearning,#ml [32] #cx,#robotics [32] #robotics,#chatbot [32] #chatbot,#bot Top Word Pairs in Tweet in G8:
[8] #fintech,#banking [7] access,âžž [6] #openbanking,#apis [6] #ai,#machinelearning [5] banking,financial [5] financial,services [5] #apis,#finserv [5] #ux,#cx [4] #fintech,#finserv [4] #innovation,7 Top Word Pairs in Tweet in G9:
[8] #banking,#finserv [8] #fintech,hiring [8] hiring,challenge [8] challenge,finding [8] finding,needles [8] needles,haystacks [8] haystacks,being [8] being,fast [8] fast,key [8] key,securing Top Word Pairs in Tweet in G10:
[21] #publiccloud,migration [21] migration,#finserv [21] #finserv,challenges [21] challenges,being [21] being,overcome [19] refinitiv,#publiccloud [17] overcome,#cloudreadâ [2] overcome,#cloudread [2] overcome,#cloudreadydata [2] #cloudreadydata,refinitiv Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: