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On Continuity
in the Social Sciences
Tommaso Venturini
MathieuJacomy
Houston,
we have a problem

Apollo 8
December 24, 1968
Welcome to the
Anthropocene
The end of Nature
The end of technoscience

3 technoscientific colonizations:
of the world by western societies;
of traditional communities by modern org.
of ecosystems by human beings
Planetary boundaries

Rockström et al., Nature 2009
A safe operating space for humanity
http://www.ted.com/talks/johan_rockstrom
_let_the_environment_guide_our_development.html
Walking on a web of fractures
Hybrid forums
(e.g. the IPCC)
Building continuity into our (qualiquantitative) methods

Narration:

datascape navigation interfaces

Data:

(intensive-extensive) digital traces

Theory:

non-emergentist framework
On continuity
in social sciences

I. Narration
(datascape navigation interfaces)
The ‘Pedofil’ of
Boavista

Bruno Latour (1995)
Common Knowledge 4(1)
The scientific chain
The scientific chain

The Pedofil of Boa Vista
Bruno Latour (1995)
Common Knowledge 4(1)
The scientific chain

The Pedofil of Boa Vista
Bruno Latour (1995)
Common Knowledge 4(1)
The narrative arc
The arc of
scientific narration
Exploring back
Datascape navigation

http://jiminy.medialab.
sciences-po.fr/labs/iep/
On continuity
in social sciences

II. Data
(intensive-intensive digital traces)
The strabismus
Follow the
of social sciences

Qualitative
White Rabbit methods vs
quantitative methods

why controversy mapping (and digital methods) will

change everything you know about sociology

Tommaso Venturini
tommaso.venturini@sciences-po.fr

Photo credit – tarout_sun via Flickr - ©
The quali/quantitative divide
extensive data

intensive data
Phocamera VS. Videocamera
The rise of
digital methods

https://soundcloud.com/mit-cmsw/richardrogers-digital-methods

Virtual reality
Late ‘80-early ‘90 (Barlow, Turkle, Negroponte, Rheingold)
Virtual society?
1997-2002 (Steve Woolgar et al.)
Cultural analytics
2007 (Lev Manovitch)

Digital methods
2009 (Richard Rogers)
The media as an
object of study

Photo credit – Brandon Doran via Flickr - ©
The media as carbon
paper

Chris Harrison
Internet connections
Extensive data

Paul Butler, 2010
VisualizingFriendships
Intensive data

AOL user 711391 search history
www.minimovies.org/documentaires/view/ilovealaska
Extensive and
intensive data

Google Flu
www.google.org/flutrends
Extensive and
intensive data

Google Flu
www.google.org/flutrends
Extensive and
intensive data

Google Flu
www.google.org/flutrends
Quali-quantitative
methods

Top 50 US blogs
Ben Fry, 2006
http://nymag.com/news/media/15972/
Datascape navigation

Linkscape©
by Linkfluence©
On continuity
in social sciences

III. Theory
(non-emergentist framework)
Emergence

George Henry Lewes, 1875
Problems of Life and Mind

The emergent is unlike its components insofar as
these are incommensurable, and it cannot be
reduced to their sum or their difference (p. 412)
The amazing dictyostelium
discoideum

Evelyn Fox Keller
“morphogenesis”
God save the ant
Queen

Theraulaz, G. &Bonabeau, E. (1999)
A brief history of stigmergy
Artificial Life, 5, 97–116
The bootstrapping of
life
The bootstrapping of
intelligence
The boostraping
of society

Thomas Hobbes, 1651
The Leviathan
Sui generis social facts?

Emile Durkheim VS

Gabriel Tarde
The quali/quantitative divide
and itsreification

Emile Durkheim, 1912
Le formes élémentaires de
la vie religieuse

The collective self is not a simple
epiphenomenon of its morphologic
base, precisely as the individual self is not a
simple efflorescence of the nervous system.
For the collective self to appear, a sui generis
synthesis of individual self has to be produced.
This synthesis creates a world of
feelings, ideas, images that, once come to
life, follow their own laws.
Against emergence

Tarde, 1893
Monadologie et sociologie

It is surprising to see the men of sciences, so
ready to repeat that nothing is ever created from
nothing, admitting implicitly (as if it was selfevident) that the connections among different
beings can become beings themselves (p. 67)
Against emergence

Tarde, 1893
Monadologie et sociologie

Let us suppose for a moment that one of our human States, composed not of a few
thousand but of a few quadrillions or quintillions of men, hermetically sealed and
inaccessible as individuals (like China, but infinitely more populous still, and more
closed) was known to us only by the data of its statisticians, whose figures, made up of
very large numbers, recurred with extreme regularity.
When a political or social revolution, which would be revealed to us by an abrupt
enlargement or diminution of some of these numbers, took place in this State, we might
well be certain that we would be observing a fact caused by individual ideas and
passions, but we would resist the temptation to become lost in superfluous conjectures
on the nature of these impenetrable causes even though they alone were the real
ones, and the wisest option would appear to us to explain as best we could the unusual
numbers by ingenious comparisons with clever manipulations of the normal numbers.
We would thereby arrive at least at clear results and symbolic truths. Nonetheless, it
would be important from time to time to recall the purely symbolic nature of these truths.
Sui generis social facts?

Emile Durkheim VS

Gabriel Tarde
Sui generis social facts!

Emile Durkheim VS

Gabriel Tarde
Where are the structures?
Where is the langage?
Where are the structures?
Whereis the langage?
5 concepts derived from ANT
Action. Acting is making a difference, that is, interfering with other actions.
Association (composition). Action is always collective. The key feature of
action is what it interferes with.
Construction (black-boxing). A set of actions can be associated so strictly and
stably that it can become difficult to distinguish the single interferences.
Research (mapping). The work of social research is to untangle the
associations of actions. In principle, since actions are always collective, every
action can and should be traced back to other actions.
Actor. In practice, since it is impossible to attribute actions back to other
actions ad infinitum, researchers chose where to stop and call what is left
‘actors’. Actors are black-boxes that could be opened, but are not for the sake
of feasibility.
Why is continuity
so important?
Why is continuity
so important?

Collective life is continuous,
but not homogenous.
To observe how in-homogeneity is build,
we need to be sensitive to the difference in the
density of association.
Why is continuity
so important?

Collective life is continuous not homogenous.

To observe how non-homogeneity is build,
we need to become sensitive to the
differences in the density of association.
On continuity
in social sciences

IV. Why networks
Why networks?

1. social phenomena are networks (cf. ANT)
2. Networks are graphs – computation
3. networks are maps – visualization

4. network are interfaces– manipulation
Network as graphs

Euler, 1736, Solutio problematis ad
geometriam situs pertinentis
Network as graphs
(train routing)
Network as graphs
(information routing)
Network as graphs
(information retrieval)

Lawrence Page
Pagerank Patent (6285999)
Networks as maps

Jacob L. Moreno, April 3, 1933
The New York Times
Network as maps

homepage.ntlworld.com/clivebillson/tube/tube.html - www.fourthway.co.uk/tfl.html

London Underground
1920 Map
Network as maps

homepage.ntlworld.com/clivebillson/tube/tube.html - www.fourthway.co.uk/tfl.html

London Underground
1933 Map (Harry Beck)
Force-vectoralgorithms
Force-vectoralgorithms
Network as maps
(or ratherterritories)

Kevin Lynch
The Image of the City (1959)
Whatmaps are good at
Exploratory Data
Analysis

Tukey, J. W. (1977)
Exploratory Data Analysis
Network as interfaces

Pajek
vlado.fmf.uni-lj.si/pub/networks/pajek
Network as interfaces

Ucinet
www.analytictech.com/ucinet
Network as
interfaces

Guess
graphexploration.cond.org
Network as
interfaces

Gephi
gephi.org
User-friendlier
interfaces

vlado.fmf.uni-lj.si/pub/networks/pajek

www.analytictech.com/ucinet
graphexploration.cond.org

gephi.org
tommaso.venturini@sciences-po.org

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