hi my name is dmitry and i'm the
developer of InfraNodus text network
analysis and visualization app
i'm going to show you in this video how
you can use InfraNodus to visualize
all your Roam Research notes to see how
they're connected to have a good
overview
of the main topics inside and also to be
able to zoom in and see what are the
main concepts
how they're related and what are the
gaps so you can generate new ideas
so first of all you will need to log in
into InfraNodus
and by the way the final result will
look something like this you will see
all your notes you will be able to see
the relations between them
as a graph and also zoom into your ideas
to see which context you use
these notions that you're interested in
so first of all
open the applications page and then
choose the
rom research import app and here
now it's a new feature you can actually
choose several files
so in this case i will use robert
hayesfield
notes again just like last time i select
them all
open the files you see it's 462 nodes
that he has
and here you can choose what you would
like to visualize so i'm just going to
zoom in that you can see it better
mainly at the beginning you could just
analyze only the content of all the
notes and this is why this option is
default
but i want to show you how you can also
see the connections between the notes so
choose the content and the connections
between the nodes and then make sure
that
this option is also checked include the
selected files as the nodes in the graph
like this you will be able to see
all the nodes and their connections then
you click save what happens is that now
InfraNodus
imports all these 462 files
and what it does is that it visualizes
every word that you use
as a node in the graph and every
occurrence of those words
as the connections and then it builds a
graph which shows you how those words
are related
what communities they form what are the
most influential terms
and how they connect to one another on
top of that it will also
import the names of your actual files
and all the
wiki links all the square bracket links
that you have inside your files
so you can see also how all those files
are connected you probably know in rom
research you already have this option to
see the graph
but it doesn't really give you the graph
analysis insights into your notes and
infernos does that it can
show you not only how all those
different notes are connected but also
what are
the most important ones what are the
most influential ones and so on
so as you can see it takes a little bit
of time to import this data because
there's quite a lot of processing
involved
but once you wait it will be worth it
because
here you have a nice visualization i'm
gonna click on
seeing all the statements you have a
nice visualization here of
all the notes that rob has so first of
all i'm going to show you some things
you can do to the graph to make it more
readable let me zoom in so you can see
it better
you have this option here that in the
settings in the right menu that
allows you to filter the notes i would
remove
the less relevant ones like this and you
can do it gradually
like this you can see what are the most
important notes that he has
so in this case for instance it's the
note on gamification
it's quite important in his body of
notes and the notes on rome
and also the note on what's happening in
gamification and playfulness in head
space
headspace is an app for meditation
and also he has this note metroidvania i
guess it's another app
taylor state and so on so you have a
very good overview now of all these 462
notes it would take you
ages to read through them but now you
have a very nice overview of what he's
writing about
what are the main ideas inside and so on
and if you click
on the notes for example gamification
you will see all the notes that
link to that note that's called
gamification so all the notes that have
this
wiki link or square brackets inside
right so this allows us to see all the
connections between
different nodes if you're not afraid of
the graph you can show
all of the nodes and all the terms
inside okay so
another thing that you can do is to
actually
filter the graph so for example let's
say that you don't want to see
the actual notes but you only want to
see the
words that he's using so we want to
understand what he's writing about
in this case we go once again to this
filter app
and then click filter graphs all except
mentions mentions other notes so we
click
all accept mentions and then we see the
actual language that he uses in his
notes
okay can get rid of this by the way okay
so then we see all the language that he
uses
and then in the analytics panel
we will be able to see the main topics
and how they connect
and if you click on some of them so for
example game
user app let's say you can see
in which notes he's using these exact
terms so it becomes like
run research graphs but on steroids
where you can see
all the different words all the
different concepts all the diff on the
all the main connections
and what's also nice to do and this is a
great feature that you can try is if you
see some stuff that are obviously for
example you understand that he's writing
about
user experience and games and people
right so you want to see what's hiding
behind those terms you can select them
so for example app let's also select
this yeah and then you click here on the
trash button and you remove those nodes
from the graph so you can see what
other terms are hiding behind them and
by the way
if you want to analyze the actual terms
so not the connections between the notes
but what content he's using
you can go back into the rom import
app and just choose all the same files
and use the default import option okay
so you don't
actually now i'm selecting all the files
all the
600 462 files
and here i leave the default option only
show the content of the notes exclude
the links
all right so i will call it robs notes
no links okay then click save
and what happens now is that we import
all this data but now we don't
import the wiki links we only import the
actual content
of the notes so we can see what he's
writing about
once we had an overview of all the notes
and how they're connected so
gamification you know rome and so on now
we can see
what he's actually writing about what
are the main concepts inside what
what he's interested in how does he
relate them together
and we will be able to see this on the
graph now it's loading
and i'm gonna zoom in and you will see
that okay he's writing about
users up behavior and then
how people make time and so on
if you don't like to analyze graph and
you want something a bit
more specific let's say where the
analysis is done for you you can click
on this
analytics panel here and you will see
the four main topical groups
and this gives you an idea of what
they're about for example here it's user
app goal
so it's the goals that users have inside
the apps if you click on that you will
see the statements
where these terms appear you can also
click on those terms and get to the
actual
notes actual blocks in the notes that
contain the highest concentration of
those terms
so this can be super useful as well and
then there is also something about
people make
time okay so the notion of
time and how important it is
in the app and then we have something
about point
learn understanding okay
and then how gamification works inside
the games you can also
click here and see all the topics that
exist inside and here are the most
influential elements
the most influential elements are not
the most frequent words it's the words
that appear most often between different
topics
in his notes okay so it's the topics
it's the
notions with the highest influence
inside this discourse user game app
goal make okay then one feature that i
want to show you that's super
interesting is the insight tab
if you click on the insight in analytics
you will
see that there is an action advice
developed periphery
and it's based on the analysis of the
network structure of this discourse
what inferno this does is that it
detects the two
different topics that exist in this
discourse that could be connected but
are not yet
very well connected so they are related
but they could be related much better
and what's used here as the rational i'm
going to to actually explain
where it comes from is that in social
sciences you have this idea of
structural halls
imagine you have a group of people and
there are different subgroups inside
so in social sciences there is this idea
that if you connect
two different groups that are related
but not yet connected you will generate
some new interesting innovative ideas
and interactions so if you're a social
broker
that connects two different groups let's
say someone who works
i don't know on the new digital
technology
and on the new ways to derive energy
maybe not so related but somehow you
connect them together there might be
some new interesting ideas
so we transfer this metaphor into text
networks and we
look at the graph of the text that you
can see on your screen right now
and we look into the two topics that
could be connected but are not yet
and then infernos proposes you to make a
connection between them
so that you can bridge the gap between
these two clusters of ideas
in our case it's gamification
okay and also something about points
and learning and understanding so
another topic
and if we click on this tool we will see
okay gamification
set gamification game
okay so then we can see which notes
relate to these three words
have a better understanding of the
context and then click on those
see where they appear what contact
context it is
and then we'll be able to understand
what
question we should ask that would
connect those two ideas together by the
way you can also do the same if you
click on statements to link
it's going to show you the two
statements that you can link together or
the two
sub-blocks in notes and if it was you
who was
making the notes actually it would be
much easier to you to find a way to
think
between those two different topics and
to generate a new idea
so try it out with all these features
especially with the insight feature on
your own notes or on somebody's else's
public notes
you can use it for roam research, obsidian
rem nodes and basically wherever you can
export your nodes as amd files so you
can just export them all at once
visualize them as a graph find the
connections between the nodes
the nodes and then use the specific
granular
text network analysis to see what are
the main concepts inside and how they're
connected
you can try it on InfraNodus.Com and
i'll put a link in the description to
this video that explains the process
step by step and if you have any
questions please let me know
i'll be happy to answer this feature is
still in development so
if you have some requests if you think
something could work better
please let me know as well and in the
next video i'm going to talk about
using inferno does for analyzing
scientific papers
and i think it can be also interesting
thank you very much and thank you for
using InfraNodus
you
