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The Top 100 Financial People To Follow On Twitter: 2016 Edition

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The Top 100 Financial People To Follow On Twitter: 2016 Edition

This article was originally published on StreetEye.

It’s been a year since we posted our last list of people to follow on Twitter for financial news. Time for an update!

We start with a network centrality analysis, building a graph of who follows whom and finding the people with the largest number of most influential followers. Those are probably people who will play a big role in transmitting important news.

Then we trim the list to people who are good curators: they post links to a variety of good content in a frequent and timely manner.

Who do we cull?

Non-relevant accounts. @BarackObama is widely followed, but the stuff he posts is only occasionally relevant to financial markets.

People who don’t curate, filter, and signal the most important things to read. @LHSummers is a good example. He’s a really important guy to follow but he only tweets out his own stuff, he doesn’t help people discover financial news.

We rank the quality of each person’s curation on how much financial news they tweet, how much of it gets picked up and generates a lot of buzz, and how early they post it. It’s a subjective, but hopefully sensible formula.

Here’s our map of ~500 Twitter accounts, using a force-directed network. Everyone who follows an account pulls it toward them, so we see Twitter accounts arranged into broad areas according to who follows them: Asia, Europe, US markets, tech, media, econ, politics. People who are in the center are pretty equally followed by folks in all parts of the map, whatever their varied interests. Bigger labels represent people with larger followings.

graph2016-large_1.png

(And of course, see the most shared financial stories updated continuously on the StreetEYE home page.)

(A quick P.S. and caveat: I’m delighted that people I respect a great deal get a kick out of it and find it useful, but keep in mind that 1) I don’t have full Twitter data and 2) it’s just a (hopefully reasonable) simplistic formula. If you’re on here than you’re probably pretty widely followed and post a lot of timely and relevant financial news. Let’s just say it’s inherently a ranking with a lot of bias and variance and tilts mainstream by design. I wouldn’t read much into why X is higher than Y or Z isn’t on here.)

Screen name Relevance Centrality
JohnLothian 100.0 22.1
MarkThoma 83.5 49.9
pdacosta 65.9 68.8
Frances_Coppola 63.3 41.8
NickatFP 61.2 38.1
jessefelder 56.1 31.3
pmarca 53.9 83.4
Noahpinion 51.5 52.8
Schuldensuehner 50.7 34.9
mathewi 49.6 27.9
memeorandum 49.5 20.1
TheStalwart 48.8 80.8
ReformedBroker 47.4 71.6
FGoria 47.2 37.4
Techmeme 46.7 26.8
BobBrinker 46.1 35.7
M_C_Klein 45.6 64.6
AdamPosen 45.5 51.8
TimDuy 45.1 38.1
MOstwald1 43.9 23.8
mims 43.5 33.2
modestproposal1 42.0 41.8
edwardnh 41.6 46.5
mediagazer 41.3 95.0
RobinWigg 41.1 51.8
BarbarianCap 41.0 37.8
JacobWolinsky 40.6 31.2
DuncanWeldon 40.5 40.6
GreekAnalyst 39.9 31.2
AmyResnick 39.5 33.5
ObsoleteDogma 38.8 60.4
jyarow 38.6 29.6
jamessaft 38.2 31.1
DavidClinchNews 37.6 23.2
LadyFOHF 37.3 47.8
DRUDGE_REPORT 36.6 29.6
ComfortablySmug 36.4 29.4
EpicureanDeal 36.2 39.3
brianstelter 35.7 34.8
davidmwessel 35.4 59.1
ritholtz 35.2 68.1
elerianm 34.7 61.4
Dvolatility 34.7 25.7
moorehn 34.7 47.9
NickTimiraos 34.6 43.2
ylanmui 34.5 33.5
RPSeawright 34.1 26.8
williamalden 33.7 29.5
fmanjoo 33.3 39.4
JimPethokoukis 33.2 40.2
MadameButcher 32.5 29.7
howardlindzon 32.3 41.3
shaneferro 32.3 35.3
bySamRo 32.1 45.8
delong 32.0 51.7
ryanchittum 32.0 26.7
hedge_funds 31.9 21.8
BCAppelbaum 31.9 56.4
LaurenLaCapra 31.7 34.1
munilass 31.7 30.2
shannybasar 31.4 21.9
newsycombinator 31.2 21.8
crampell 31.1 47.7
lizzieohreally 31.0 35.0
SoberLook 30.9 40.0
trengriffin 30.9 30.7
blakehounshell 30.9 36.4
MattZeitlin 30.6 35.2
lindayueh 30.6 42.1
Jeffrey_Cane 30.6 30.4
raju 30.4 28.8
mercenaryjack 30.3 21.8
ericbeebo 30.2 38.6
MikeIsaac 30.1 28.5
mattyglesias 30.1 54.4
dandrezner 29.9 33.5
ModeledBehavior 29.8 41.1
AlephBlog 29.7 35.0
jennablan 29.6 49.5
GTCost 29.6 29.3
pkedrosky 29.5 50.0
peter_tl 29.5 42.2
TheBubbleBubble 29.4 30.2
ktbenner 29.3 29.9
matt_levine 28.9 63.7
MarkYusko 28.8 31.7
mccarthyryanj 28.8 35.9
johngapper 28.7 47.0
rcwhalen 28.6 31.7
economistmeg 28.6 51.3
tylercowen 28.2 56.1
LorcanRK 28.2 52.1
Kiffmeister 28.2 23.9
BenedictEvans 28.2 39.4
volatilitysmile 27.9 27.8
IvanTheK 27.8 46.6
MParekh 27.8 23.5
NicTrades 27.7 37.6
JustinWolfers 27.6 60.0
HamzeiAnalytics 27.6 23.8

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