Dave Griffiths
@drdavegriffiths.bsky.social
82 followers 130 following 29 posts
Sociologist at Stirling Uni. Interests in social network analysis, social stratification, disadvantage, health egonets, quantitative methods and some other stuff.
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Reposted by Dave Griffiths
zpneal.bsky.social
Want to promote transparency and clarity in network research by helping develop 𝐆𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐀𝐛𝐨𝐮𝐭 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐃𝐚𝐭𝐚 (𝐆𝐑𝐀𝐍𝐃)?

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GRAND Recruitment
Complete this short questionnaire to help develop Guidelines for Reporting About Network Data (GRAND).
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drdavegriffiths.bsky.social
Asking 'Who is the Prime Minister?' used to be good as a test of people's memory. It now seems it works better as a test of people's occupation. If they reply 'I think it's Nigel Farage' you know they work in journalism.
drdavegriffiths.bsky.social
Social capital, interconnected with the tight-knit bonds within marginalised groups, could deter help-seeking. Knowledge and attitudes towards help and help-seeking, shaped by past experiences and network cultures, influenced help-seeking and contributed to a cautious and selective approach.
4/4
drdavegriffiths.bsky.social
Social/relational influences identified included: fear of losing social capital, the risks of high bonding capital, service providers as social capital, selective help-seeking, trust and network culture.
3/4
drdavegriffiths.bsky.social
Paper reviews the 27 papers around mental health/substance use help-seeking by adults experiencing (non-demographic) marginalisation and used social capital or social network analysis (#SNA)
2/4
Reposted by Dave Griffiths
drcconnell.bsky.social
Pleased our paper is out today: relational influences on help-seeking for mental health and substance use among marginalised people bmjopen.bmj.com/content/15/6/e090349.full

We present follow on research with justice-involved ppl @ DRNS conference later @drnscot.bsky.social

Team ⬇️

#JusticeHealth
drdavegriffiths.bsky.social
Congratulations. Well done.
Reposted by Dave Griffiths
zpneal.bsky.social
𝐂𝐀𝐋𝐋 𝐅𝐎𝐑 𝐏𝐑𝐎𝐏𝐎𝐒𝐀𝐋𝐒

𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐈𝐬𝐬𝐮𝐞 𝐨𝐧
"𝐂𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐢𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬"

Do you use a classroom activity to help students understand networks? Share it with others in Connections!

Submit your abstract (up to 300 words) to [email protected] by 15 September 2025
We invite abstracts for short papers describing an interactive classroom activity designed to illustrate, demonstrate, or reinforce network features or processes. Submissions are welcome for activities designed:
•	for teaching about any network feature or process
•	for any level of student (e.g., high school, undergraduate, graduate)
•	for any discipline (e.g., social science, natural science)
•	for any course (e.g., specialty course on networks, general course with a module about networks)

We especially encourage abstracts co-authored by instructors who have designed/used the activity and students who have participated in the activity.

Authors of selected abstracts will be invited to submit a full paper in Spring 2026. Invited submissions will be peer-reviewed, and accepted papers will be published open-access in Connections at no cost to the author.

Submit your abstract (up to 300 words) to zpneal@msu.edu by 15 September 2025
Reposted by Dave Griffiths
urbaneprofessor.bsky.social
And secondly, Research Fellow in Evidence Review and Synthesis of Community Interventions
my.corehr.com/pls/shurecru...
Reposted by Dave Griffiths
urbaneprofessor.bsky.social
A coupe of exciting research jobs being advertised for the Centre for Collaboration on Community Connectedness I'm involved in, first off Researcher in Evidence Review and synthesis of community interventions:
my.corehr.com/pls/shurecru...
Job details
my.corehr.com
drdavegriffiths.bsky.social
They are great to use in teaching. Students like hearing the author discuss the paper and it improves the flow of a lecture as well.
Reposted by Dave Griffiths
drhannahgraham.bsky.social
JOB: Research Fellow post in our #Sociology, #SocialPolicy, and #Criminology Division at the University of Stirling 🏴󠁧󠁢󠁳󠁣󠁴󠁿 🇬🇧

Working in the ESRC-funded Centre in Community Participation and Connectedness. Quantitative social research skills needed.
#postdoc #academia
www.jobs.ac.uk/job/DMZ445/r...
Research Fellow at University of Stirling
Explore an exciting academic career as a Research Fellow. Don't miss out on other academic jobs. Click to apply and explore more opportunities.
www.jobs.ac.uk
drdavegriffiths.bsky.social
Overall, the book brings together ideas from social stratification, social network analysis and social inequalities to argue that looking at the occupations of pairs of individuals (such as partners, or friends) can aid our understanding of important social processes. (14/14)
drdavegriffiths.bsky.social
(12) Conclusion argues that effects of homophily around social stratification position are important in the reproduction of inequality (13/14)
Text: "We called the social ties that connect occupations a 'social resin', because this metaphor suggests a powerful force that shapes structure, whilst nevertheless exhibiting some malleability. Empirical patterns in social connections are consistent with a circular and mutually reinforcing relationship between social connections and occupational inequalities - that is, occupational inequalities foster social connection patterns, and social interactions foster occupational outcomes, as suggested by the two quotes above. But in what way, if at all, is the 'social resin' - the powerful empirical relationship between social interaction patterns, and social stratification systems - of importance in theorising social stratification and social reproduction?
drdavegriffiths.bsky.social
(11) Exploiting Non-standard Dimension Scores and Network Structures in the Analysis of Social Interactions Between Occupations looks at other forms of homophily in people's connections and breaks down the analysis to explore differences between subgroups (12/14)
Network of over-represented occupational combinations in the UK, by age group. Much more cases for the males 20-40 than for males over 40.
drdavegriffiths.bsky.social
(10) Social Interactions and Educational Inequality provides an intersectional approach to examing the role of education in occupational stratification (11/14)
Visualisation of the SID solution for the analysis of combined categories of occupation and education. Within social classes, people with higher qualifications always have more advantaged positions than people with lesser qualifications in the same class. Graduates in elementary occupations have higher scores than professionals with no school qualifications. Educational dimension important for understanding stratification structure.
drdavegriffiths.bsky.social
(9) Occupational-Level Residuals and Distributional Parameters explores other meaningful approaches using pairs of occupations, including random effects modelling (10/14)
A graph of the job-level residuals for predicting level of contact with closest friends in the UK from 1991-2008 (BHPS data)
drdavegriffiths.bsky.social
(8) Social Network Analysis of Occupational Connections converts those occupations which are commonly linked into a network to explore how stratification patterns can be observed and meaningfully compared (9/14)
A sociogram connecting occupations which marry each other more often than we would expect by chance in Texas in 2000.
drdavegriffiths.bsky.social
(7) Networked Occupations looks at which occupations tend to connect more often than we would imagine if randomly distributed - this shows the effect of stratification in a slightly different way to Social Interaction Distance approaches (8/14)
Table showing the most common combinations of marriages amongst heterosexual couples in the USA in 2000. They are: male truck drivers married to female secretaries, primary school teachers, nurses and accounts clerks; and male retail supervisors married to secretaries. Despite being common, truck drivers marry secretaries, primary school teachers and nurses less than we would expect given the proportions of those groups in society.
drdavegriffiths.bsky.social
(6) Constructing CAMSIS Scales provides the recipe (and #Stata syntax) for creating a scheme from data on pairs of occupations, managing the data and dealing with pseudo-diagonals (pairings which do not reflect the stratification structure) (7/14)
Graph showing three dimensions of a correspondence analysis.
drdavegriffiths.bsky.social
(5) Evaluating CAMSIS scales explores the characteristics of #CAMSIS (and #HISCAM) schemes between countries, drawing on consistencies we commonly see, and how differences often uncover important contours of that society (6/14)
Graph of male and female CAMSIS scores across 12 different societies, showing they are broadly similar to each other in the shape of their distribution.
drdavegriffiths.bsky.social
(4) #CAMSIS and the Analysis of Social Interaction Distance provides the theoretical underpinning of how studying combinations of occupations can produce a valid and nuanced stratification scheme of the position of each individual occupation (5/14)
Graph showing relationship between the CAMSIS and SIOPS occupational measures, which are highly correlated but with individual occupational unit groups often higher on one than the other.
drdavegriffiths.bsky.social
(3) Measures of Social Stratification provides an overview of ways of measuring stratification, exploring the different forms of occupational, social class, geographical, income and #GBCS style approaches (4/14)
Table of fictional people all earning £1,500 per month. The expendable income of a retired person with no mortgage is much, much higher than a single parent dental assistant, who has mortgage, commuting, childcare and child living expenses.