[Humanist] 28.457 events: archaeological network analysis; visualising literature

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Fri Oct 31 08:40:16 CET 2014


                 Humanist Discussion Group, Vol. 28, No. 457.
            Department of Digital Humanities, King's College London
                       www.digitalhumanities.org/humanist
                Submit to: humanist at lists.digitalhumanities.org

  [1]   From:    Tom Brughmans <tom.brughmans at yahoo.com>                   (20)
        Subject: CFP networks in archaeology session @CAA2015

  [2]   From:    James Cummings <James.Cummings at it.ox.ac.uk>               (32)
        Subject: DH at Ox Lecture: "Visualizing Literature: Trees, Maps and
                Networks", Jan Rybicki, 6 Nov, IT Services


--[1]------------------------------------------------------------------------
        Date: Thu, 30 Oct 2014 11:09:07 +0000 (UTC)
        From: Tom Brughmans <tom.brughmans at yahoo.com>
        Subject: CFP networks in archaeology session @CAA2015


We would like to bring a session on archaeological network science at the 2015 Computer Applications and Quantitative Methods in Archaeology (CAA) meeting in Siena (Italy) to your attention. 

We welcome papers describing archaeological applications of network science, with a particular focus on the treatment of space and time in these applications. Please find the abstract below for more details. The call for papers for CAA2015 is now open, the submission deadline is 20 November 2014. The full list of CAA2015 sessions can be viewed and papers submitted here: 

http://caaconference.org

We will also host a practical workshop at CAA2015: Introduction to exploratory network analysis for archaeologists using Visone (abstract below). Registration for this workshop will open at a later date.

-----
Geographical and temporal network science in archaeology
Tom Brughmans and Daniel Weidele

Formal network techniques are becoming an increasingly common addition to the archaeologist’s methodological toolbox. Archaeologists have adopted these techniques mainly from the fields of social network analysis, physics and mathematics, where they have been developed and applied for decades. However, network science techniques for the analysis or visualisation of geographical and long-term temporal phenomena have seen far less development than those for social and technological phenomena. Conversely, archaeology has a long tradition of studying long-term change of socio-cultural systems and spatial phenomena, a research focus and tradition that is a direct consequence of the nature of archaeological data and our ambition to use it as proxy evidence for past human behaviour. We believe this spatial and temporal research focus so common in archaeology could inspire the development of innovative spatial and temporal network science techniques.

This session welcomes archaeological applications of formal network science techniques. It particularly encourages elaboration on the geographical and temporal aspects of applications. What are the implications of working on large time-scales for the use of network science techniques and the interpretation of their outputs? How can the study of long-term change of social systems inspire the development of innovative network science techniques? What advantages do geographical network approaches offer over other spatial analysis techniques in archaeology? How can the long tradition of studying spatial phenomena in archaeology inspire the development of innovative network science techniques?

Introduction to exploratory network analysis for archaeologists using Visone
Daniel Weidele and Tom Brughmans

Network science techniques offer archaeologists the ability to manage, visualise, and analyse network data. Within different archaeological research contexts, network data can be used to represent hypothesised past social networks, geographically embedded networks like roads and rivers, the similarity of site assemblages, and much more.

A large number of software programs is available to work with network data. Visone is one of them and offers a number of advantages:

• Free to use for research purposes
• A user-friendly interactive graphical user interface
• Innovative network visualisations
• Exporting publication-quality raster and vector files
• The incorporation of statistical modelling techniques

This workshop introduces the basics of network data management, visualisation and analysis with Visone through practical examples using archaeological research questions and datasets. The workshop is aimed at archaeologists with no required previous experience with network science.

Participants should bring a laptop with Visone installed (download Visone: http://visone.info/ )
Maximum 20 participants.

--[2]------------------------------------------------------------------------
        Date: Thu, 30 Oct 2014 12:08:01 +0000
        From: James Cummings <James.Cummings at it.ox.ac.uk>
        Subject: DH at Ox Lecture: "Visualizing Literature: Trees, Maps and Networks", Jan Rybicki, 6 Nov, IT Services

Some of you in the UK may be interested in this Digital 
Humanities at Oxford invited lecture. Dr Jan Rybicki uses the R 
programming language and statistical computing environment to 
visualize literature for analytical purposes. The talk is free to 
all and open to the public. If you wish to register please see 
http://courses.it.ox.ac.uk/detail/OIBD but registration is not 
necessary, and those outside the University of Oxford are also 
invited.

===
Title: "Visualizing Literature: Trees, Maps and Networks."

Dr Jan Rybicki, Assistant Professor at the Institute of English 
Studies, Jagiellonian University, Kraków, Poland.

Thursday 6 November, 17:30-18:30, Evenlode Room, IT Services, 13 
Banbury Road, OX2 6NN.

Abstract: Stylometry, the study of countable elements of 
(literary) language, has reached a critical moment in its 
development. It has transcended its earlier application in 
authorial attribution; it now aims at testing and challenging or 
confirming the existing models of literary history by going 
through more data than a traditional literary scholar ever could: 
big collections of texts that are analyzed with a whole new 
arsenal of quantitative statistical methods that rely on various 
distance measures to establish new, or confirm the old, patterns 
of similarity and difference between the oeuvres of individual 
writers, groups, genres, themes, traditions... But in doing so, 
stylometry now faces a new challenge of how to visualize such a 
big amount of literary and linguistic data.

===

-James

-- 
Dr James Cummings, James.Cummings at it.ox.ac.uk
Academic IT Services, University of Oxford





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