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EJ
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E J
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Updated Oct 15, 2021
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Chapters
00:00
Chapter 1
00:03
Chapter 2
00:13
Chapter 3
00:27
Chapter 4
00:49
Chapter 5
01:06
Chapter 6
01:33
Chapter 7
01:55
Chapter 8
02:26
Chapter 9
03:30
Chapter 10
04:54
Chapter 11
05:26
Chapter 12
06:38
Chapter 13
07:40
Chapter 14
Audio Transcript
Auto-generated
00:01 - 00:03
today, we learned about networks and network theories.
00:03 - 00:07
Each of these terms is interdisciplinary meaning that each is
00:07 - 00:09
relevant to different scholarly academic disciplines.
00:09 - 00:11
And each of these terms can be used in different
00:11 - 00:12
kinds of research to.
00:13 - 00:16
So at key terms today all involve different kinds of
00:16 - 00:20
connection and community will be talking about neural networks, social
00:20 - 00:24
networks combined shaft and gazelle shaft, socio graham's strong bonds
00:24 - 00:26
and weak ties and speech and discourse communities.
00:27 - 00:28
So we'll start with their own networks.
00:30 - 00:32
This term is relatively broad and flexible in part because
00:33 - 00:34
it's used by a number of different disciplines.
00:35 - 00:38
Generally speaking though, it refers to the network structure that
00:38 - 00:41
we use to model the brains operations and then by
00:41 - 00:46
extension, we also use these similar models to understand artificial
00:46 - 00:50
networks. So in a sense, the network structure that allows
00:50 - 00:54
neurons to communicate as you can see here has also
00:54 - 00:57
become a broader model for understanding how other kinds of
00:57 - 01:02
communications work from the Internet and public transit transit to
01:02 - 01:03
voting and viruses.
01:05 - 01:08
When we talk about social networks, we tend to distinguish
01:09 - 01:11
them according to their ties or bonds.
01:11 - 01:15
For example, about a century ago sociologists began to use
01:15 - 01:18
the terms combined shaft and gazelle shaft to distinguish between
01:19 - 01:21
community On the one hand, which is made up of
01:21 - 01:25
more personal or direct ties and society on the other
01:26 - 01:28
hand, which is made up of more impersonal ties.
01:29 - 01:32
When we study and document these kinds of ties or
01:32 - 01:34
links, we often use diagrams.
01:35 - 01:37
This is a soc a gram of a second grade
01:38 - 01:40
classroom where you can see the teacher represented in the
01:40 - 01:42
larger circle and the social ties of the Children in
01:43 - 01:43
the smaller circles.
01:44 - 01:47
This particular socio graham makes use of color coding in
01:47 - 01:50
different arrow symbols to classify the ties and bonds of
01:50 - 01:51
the classroom.
01:52 - 01:55
When we apply this kind of scholarship to literature, we
01:55 - 01:56
often use diagrams as well.
01:57 - 02:00
In the last two decades, especially this kind of research
02:01 - 02:03
has become immensely popular in part because of the digital
02:04 - 02:06
texts and tools were able to use now.
02:06 - 02:09
So here's an example of a socio gram of a
02:09 - 02:10
novel by Charles dickens.
02:11 - 02:15
This particular diagram organizes characters according to social class in
02:15 - 02:19
geography and maps their ties and bonds within and across
02:20 - 02:20
these different worlds.
02:22 - 02:24
So related to this kind of work in the 1970s,
02:26 - 02:30
a researcher named Mark Granna better published this article on
02:30 - 02:34
strong bonds and weak ties and this one study has
02:34 - 02:38
inspired a huge amount of research and discussion over the
02:38 - 02:38
subsequent decades.
02:39 - 02:43
Strong bonds are those personal and direct connections that we
02:43 - 02:47
have with family, friends, co workers, people we know by
02:47 - 02:50
name and with whom we share some kind of history
02:51 - 02:54
or values or purpose weak ties on the other hand,
02:55 - 02:56
are those connections that are not so formal?
02:57 - 03:00
Maybe they are the people you recognize each day when
03:00 - 03:03
you take the bus to campus but whose names you
03:03 - 03:05
don't know or maybe the driver of that bus or
03:05 - 03:08
the person who you buy coffee from on monday mornings.
03:10 - 03:13
In other words, these individual ties might not seem that
03:13 - 03:16
important to you, but collectively, in fact they are quite
03:16 - 03:19
important. In fact, research tells us that these weak ties
03:19 - 03:21
have a lot to do with our sense of well
03:21 - 03:24
being in our connectedness to our wider community.
03:25 - 03:28
So now we're going to turn towards some of the
03:28 - 03:30
networks that affect our language and communication.
03:32 - 03:35
And here I'd like to distinguish between speech communities on
03:35 - 03:38
the one hand and discourse communities on the other, which
03:38 - 03:41
will learn about in the next slide, we'll start with
03:41 - 03:42
speech communities.
03:42 - 03:46
Each of you has at least one speech community and
03:46 - 03:46
probably several.
03:47 - 03:49
A speech community is a group of people who share
03:50 - 03:54
language dialect and or speech characteristics because of regional or
03:55 - 03:55
cultural proximity.
03:56 - 03:59
Each region of the United States for example has its
04:00 - 04:02
own distinctive speech patterns and accents.
04:02 - 04:04
If you grow up in Los Angeles and you travel
04:05 - 04:08
to boston, you'll quickly notice a dramatic change in speech
04:08 - 04:11
community. But within these regions there are smaller and more
04:12 - 04:13
specialist speech communities.
04:13 - 04:16
So within the city of boston there are many specific
04:16 - 04:18
styles of accent and distinctive vocabularies.
04:20 - 04:23
I noticed speech communities myself when I first moved to
04:23 - 04:25
Minnesota and I had a lot to learn.
04:25 - 04:30
I immediately noticed the long oh in Minnesota and shifts
04:30 - 04:33
in vocabulary as well, for instance, the Children here learn
04:34 - 04:36
a game called duck duck gray duck as I understand
04:37 - 04:39
it instead of what I grew up with on the
04:39 - 04:41
West Coast, which was Duck, Duck goose.
04:42 - 04:44
These examples are called speech norms.
04:45 - 04:49
Their implicit, their unstated, but in many cases a community
04:50 - 04:52
is sort of bonded by the fact that everyone seems
04:52 - 04:53
to know these speech norms.
04:54 - 04:56
Um so I'm going to share with you next, a
04:56 - 04:59
very popular quiz created by the new york times a
04:59 - 05:03
number of years ago, It asks only 25 questions and
05:03 - 05:07
for many people it can identify with eerie accuracy, your
05:08 - 05:12
geographical or regional background, just depending on these speech norms
05:12 - 05:14
that you may share with that background.
05:15 - 05:17
So for me when I took this quiz, the result
05:17 - 05:20
was accurate down to the specific county I grew up
05:21 - 05:21
in as a child.
05:23 - 05:27
So next step we'll learn about discourse communities and these
05:27 - 05:31
discourse communities are not regional and that's really important.
05:31 - 05:34
Instead of discourse community might have a shared knowledge base,
05:35 - 05:37
a specific forums such as a message board or a
05:38 - 05:40
cluster of hashtags or social media.
05:41 - 05:43
Within this forum, there might be specific genres, which means
05:44 - 05:47
specific styles of writing that that community uses.
05:47 - 05:51
And finally, discourse community usually has a shared on specialist
05:51 - 05:54
language also known as Alexis or a kind of group
05:55 - 06:00
vocabulary examples of discourse communities could include bird watchers, people
06:00 - 06:03
who have never met in person, but could strike up
06:03 - 06:06
a chat on twitter and immediately enjoy a shared vocabulary
06:06 - 06:07
and shared interests.
06:08 - 06:11
Another example might be groups of fans of a certain
06:12 - 06:15
team or a certain sport who can easily chat without
06:15 - 06:17
knowing each other because they have a shared and specialist
06:18 - 06:18
knowledge base.
06:19 - 06:22
For example if I join a random message board online
06:22 - 06:26
that's devoted to mandolin music I can probably join in
06:26 - 06:28
pretty easily because I share a certain knowledge and Alexis
06:29 - 06:30
or a specific vocabulary.
06:31 - 06:33
So these people in the group, even if I've never
06:33 - 06:36
met them they're already part of this discourse community and
06:36 - 06:37
so am I.
06:38 - 06:40
So I encourage you to think about your own discourse
06:41 - 06:43
communities. You probably have many of them some of them
06:44 - 06:46
more formalized in your mind like maybe you're part of
06:47 - 06:50
a club or named community and some of them highly
06:50 - 06:52
informal. Maybe you've always followed a certain T.
06:52 - 06:55
V. Show and you know it's characters inside and out.
06:55 - 06:58
Each of these discourse communities has its own specific knowledge
06:59 - 07:02
based vocabulary and even speech genres or writing genres.
07:04 - 07:07
You also have at least when speech community possibly based
07:07 - 07:10
on where you spent your childhood or the way that
07:10 - 07:11
your family and friends speak.
07:12 - 07:14
It can be interesting to think about when you first
07:14 - 07:16
became aware of your speech norms.
07:16 - 07:19
Many people aren't really aware of their speech community until
07:19 - 07:21
they leave it for the first time and they interact
07:22 - 07:22
with other people.
07:23 - 07:26
For example some people go away to summer camp as
07:26 - 07:29
a teenager or arrive at university for the first time
07:29 - 07:32
and suddenly in a new social space surrounded by people
07:33 - 07:36
from different speech communities to suddenly become very much aware
07:36 - 07:37
of their own speech patterns.
07:38 - 07:40
As a way of concluding, I want you to think
07:41 - 07:44
about how network theory and modeling has very real repercussions
07:45 - 07:47
for contemporary culture and even contemporary politics.
07:48 - 07:52
Consider the covid 19 pandemic and the role of contact
07:52 - 07:57
tracing or the formation of covid bubbles In 2020 I
07:57 - 07:59
would argue that the pandemic has made each of us
08:00 - 08:04
much more aware about our own socio graham, the strong
08:04 - 08:07
bonds and weak ties that we have with others and
08:07 - 08:10
what those mean for contagion and our safety, our personal
08:11 - 08:12
safety and also the safety of the community.
08:13 - 08:16
Another example is the 2020 presidential election.
08:17 - 08:19
When network theory again played a political role in what
08:20 - 08:21
was called relational organizing.
08:22 - 08:26
We saw how fake news and information literacy each depend
08:26 - 08:28
quite a bit on the networks of social media.
08:28 - 08:32
So these networks absolutely shape our culture and our daily
08:32 - 08:33
lives in crucial ways.
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