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Just like Paul, I am averse to self-promotion and strongly support all previously made suggestions, but would humbly advise my Complex Network Analysis in Python (Pragmatic Bookshelf, ISBN: 978-1680502695) as a supplementary technical reference to interested students, if any.

On Thu, Apr 18, 2019 at 2:14 PM Doreian, Patrick D <[log in to unmask]> wrote:
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I would add
Garry Robins, Doing Social Network Research, Sage

with best wishes
pat

patrick doreian
professor emeritus
department of sociology 
2602 WWPH
university of pittsburgh
pittsburgh, PA 15260
website: http://patrickdoreian.com


From: Social Networks Discussion Forum <[log in to unmask]> on behalf of Paul McLean <[log in to unmask]>
Sent: Thursday, April 18, 2019 12:09 PM
To: [log in to unmask]
Subject: Re: [SOCNET] Networks textbook
 
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I am averse to self-promotion, and I genuinely believe the books mentioned in this thread will be more useful than what I have written, whether because more comprehensive, or more sophisticated, or more concretely practice-oriented.  Still, my book Culture in Networks (Polity 2017; ISBN: 978-0745687162) was designed as a non-technical approach to integrating the study of culture and social networks, and might work well for an undergrad class on networks, or for a student interested in the digital humanities.  I just put it out there as you gather ideas.


Paul


Paul McLean

Professor of Sociology

Rutgers University

26 Nichol Avenue

New Brunswick, NJ  08901



From: Social Networks Discussion Forum <[log in to unmask]> on behalf of Christian Rigg <[log in to unmask]>
Sent: Thursday, April 18, 2019 3:07:48 AM
To: [log in to unmask]
Subject: Re: [SOCNET] Networks textbook
 
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I’d also like to add Network Analysis Literacy by K. Zweig that I’m finding to be invaluable while writing my master’s thesis. The main themes are how, when, and why to use what network techniques, and which are best suited to what types of data. It places an emphasis on understanding the technical and mathematical decisions researchers should make, that can often be hidden behind ready-made programs with plug-and-play commands. Full text is available on Springer Link.


Cheers - Christian R. 
From: Social Networks Discussion Forum <[log in to unmask]> on behalf of Bargar, Alicia M. <[log in to unmask]>
Sent: Thursday, April 18, 2019 12:00:56 AM
To: [log in to unmask]
Subject: Re: [SOCNET] Networks textbook
 
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For SNA, I like 'Analyzing Social Networks' by Borgatti, Everett, and Johnson. It does a nice job of giving a broad overview of the field and explaining concepts. There are multiple tie-in examples with UCINET, for which the corresponding code and datasets are included with the (free) online study resources. 

For digital humanities try checking out 'Bit by Bit' by Salganik (https://urldefense.proofpoint.com/v2/url?u=https-3A__www.bitbybitbook.com_&d=DwIGaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=Dq_oGRQHc1NyHLPZ5I6opd2PAxQeqHEtAH94AATAMqU&s=iqlK0aIG9rNPq5QKTald7ke1s9UdYqzTg48t-Yt3RE0&e=). That's listed as computational social science, not digital humanities, but you can check the full book out online to see if it meets your needs. I find it quite readable and easy to follow so it's hopefully good for young students as well.

On 4/16/19, 5:42 AM, "Social Networks Discussion Forum on behalf of Moses Boudourides" <[log in to unmask] on behalf of [log in to unmask]> wrote:

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    Hello everyone,
   
    I have a question: Which textbooks would you consider appropriate for
    the following two courses?
   
    * NETWORKS (Network Science, Social Network Analysis)
    * DIGITAL HUMANITIES
   
    Please notice that these are two separate one semester long
    undergraduate courses intended for Liberal Arts and Humanities
    students.
   
    I would be obliged for any recommendations you might have the time to make.
   
    Thanks!
   
    --Moses
   
    Moses Boudourides, PhD
    Faculty at the MSDS online Data Science Program
    School of Professional Studies
    Northwestern University
   
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--
Dmitry Zinoviev, Professor of Computer Science, Suffolk University, Boston, MA 02114
Author of "Data Science Essentials in Python" and "Complex Network Analysis in Python"

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