Posts Tagged ‘ Personal networks ’

Recent ethical challenges in social network analysis (RECSNA17)

Research on social networks is experiencing unprecedented growth, fuelled by the consolidation of network science and the increasing availability of data from digital networking platforms. However, it raises formidable ethical issues that often fall outside existing regulations and guidelines. New tools to collect, treat, store personal data expose both researchers and participants to specific risks. Political use and business capture of scientific results transcend standard research concerns. Legal and social ramifications of studies on personal ties and human networks surface.

We invite contributions from researchers in the social sciences, economics, management, statistics, computer science, law and philosophy, as well as other stakeholders to advance the ethical reflection in the face of new research challenges.

The workshop will take place on 5 December 2017 (full day) at MSH Paris-Saclay, with open keynote sessions to be held on 6 December 2017 (morning) at Hôtel de Lauzun, a 17th century palace in the heart of historic Île de la Cité.


  • Submit a 300-word abstract by 15 October 2017.
  • Let us know if you wish to be panel discussant or session chair by 20 October 2017 (send to:
  • Acceptance notifications will be sent by 31 October 2017.
  • Registration is free but mandatory: speakers (and discussants and chairs) should register between 15 October and 15 November 2017, other attendees by 30 November 2017.

Keynote Speakers

José Luis Molina, Autonomous University of Barcelona, “HyperEthics: A Critical Account”
Bernie Hogan, Oxford Internet Institute, “Privatising the personal network: Ethical challenges for social network site research”

Scientific Committee

Antonio A. Casilli (Telecom ParisTech, FR), Alessio D’Angelo (Middlesex University, UK), Guillaume Favre (University of Toulouse Jean-Jaurès, FR), Bernie Hogan (Oxford Internet Institute, UK), Elise Penalva-Icher (University of Paris Dauphine, FR), Louise Ryan (University of Sheffield, UK), Paola Tubaro (CNRS, FR).

Contact us

Twitter: @recsna17


Visualisation, mixed methods and social networks: what’s new

This morning, we had a plenary on “Visualisation and social networks in mixed-methods sociological research” at the British Sociological Association conference now going on in Manchester. This session, organized by the BSA study group on social networks that I convene with Alessio D’Angelo (BSA SNAG), builds on a special section of Sociological Research Online that we edited in 2016. Alessio and I chaired and had four top-flying speakers: Nick Crossley, Gemma Edwards (both at the University of Manchester), Bernie Hogan (Oxford Internet Institute) and Louise Ryan (University of Sheffield).

Each speaker briefly presented a case study that involved visualization, and all were great in conveying exciting albeit complex ideas in a short time span. What follows is a short summary of the main insight (as I saw it).

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The “pro-ana” phenomenon: Eating disorders and social networks

proanaA new book is just out, co-authored by myself and Antonio A. Casilli: a synthesis of our 5-odd years research on the self-styled internet communities, blogs and forums of persons with eating disorders. For years, lively controversies have surrounded these websites, where users express their distress without filters and go as far as to describe their crises, their vomiting and their desire for an impossibly thin body – thereby earning from the media a reputation for “promoting anorexia” (shortened as “pro-ana”). In France, an attempt to outlaw these online spaces last year was unsuccessful, not least because of our active resistance to it.

The book tells the story of our discovery of these communities, their members, their daily lives and their social networks. Ours was the first study to go beyond just contents, and discover the social environments in which they are embedded. We explored the social networks (not only online relationships, but day-to-day interactions at school or work, in the family, and among friends) of internet users with eating disorders, and related them to their health. The results defy received wisdom – and explain why banning these websites is not the right solution.

Internet deviance or public health budget cuts?

It turns out that “pro-ana” is less a form of internet deviance than a sign of more general problems with health systems. Joining these online communities is a way to address, albeit partially and imperfectly, the perceived shortcomings of healthcare services. Internet presence is all the more remarkable for those who live in “medical deserts” with more than an hour drive to the nearest surgery or hospital. At the time of the survey in France, a number of areas lacked specialist services for eating disorder sufferers.


Availability of specialized services and support for eating disorder sufferers in France in 2012. Source: AFDAS-TCA & FNA-TCA.

Availability of specialized services and support for eating disorder sufferers in France in 2014. Source: AFDAS-TCA & FNA-TCA.

These people do not always aim to refute medical norms. Rather, they seek support for everyday life, after and beyond hospitalisation. These websites offer them an additional space for socialisation, where they form bonds of solidarity and mutual aid. Ultimately, the paradoxical behaviours observed online are the result of underfunded health systems and cuts in public budgets, that impose pressure on patients. The new model of the ‘active patient’, informed and proactive, may have unexpected consequences.


A niche phenomenon with wider repercussions

In this sense, “pro-ana” websites are not just a niche phenomenon, but a prism through which we can read broader societal issues: our present obsession with body image, our changing relationships with medical authorities, the crisis and deficit of our publich health systems, as well as the growing restrictions to our freedom of expression online.

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Visualization in mixed-methods research on social networks

The journal Sociological Research Online has just published (31 May 2016) a special section on “Visualization in Mixed-Methods Research on Social Networks”, guest edited by Alessio D’Angelo, Louise Ryan and myself.

Figure 1 – Tubaro, Ryan & D’Angelo

The five papers in this peer-reviewed special issue explore the potential of visual tools to accompany qualitative and mixed-methods research. Visualization can support data collection, analysis and presentation of results; it can be used for personal or complete networks; it can be paper-and-pencil or computer-based. Overall, visualization helps to jointly understand network contents and network structures.

The special issue is freely accessible from all commercial (non-academic) internet providers.

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The data of my friend are my data

The rise of digital data, particularly data from the internet, is to be understood in social relational perspective. Online interactions – from email exchanges to use of VOIP services and participation in social media such as Facebook, Twitter and LinkedIn – make people’s social connections explicit and visible. The “social network”, once a metaphor used only in a small sub-field within sociology, is now familiar to everybody as the archetype of computer-mediated social interaction. Digital devices systematically record network structures, so that social ties become an essential part of every individual profile, and users are more and more aware of them.

One consequence of this is the booming popularity of network analysis concepts, which support the algorithms that handle digital data: for example, centrality measures are at the heart of search engine functionalities, and transitivity measures found “friend-of-a-friend” algorithms in social media. In passing, social network analysis itself which had been originally developed for small-sized, non-digital datasets (like surveys about friendship in schools) has undergone a major upgrade to account for social data from the web.

FOAFMore importantly, the relational nature of digital data and the underlying possibilities to use social network analysis, open up new avenues for data collection. If user B publishes a post on, say, their Facebook wall, comments and “likes” received from their friends A, D and E will be connected to the profile of B, accessible and visible from it; in other words, it is possible to retrieve information on A, D or E through the profile of just B. In general social networks, a friend of my friend is my friend; in digital networks, the data of my friends are my data.

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“Pro” ana? Sociability and support in eating disorder online communities

This article was first published on Discover Society, November 2014.

Last June, a group of Italian MPs proposed jail terms and fines for authors of so-called “pro-ana” (anorexia) and “pro-mia” (bulimia) websites. These are self-styled online communities on eating disorders which are viewed as promoting extreme dieting and unhealthy eating practices. France and the United Kingdom preceded Italy’s attempt to pass restrictive legislation as far back as 2008-9, and many internet service providers also endeavoured to ban these contents.

But the potential spread of health-hazardous behaviours is probably only one side of the coin, and these websites might also channel health-enhancing assistance, advice, and support (Yeshua-Katz & Martins 2013). In fact a closer look reveals that website users carefully manage their online socialisation to address their health challenges. Online social spaces enable discussion around the illness and constitute a complement, albeit an admittedly imperfect one, to formal healthcare services. There is no rejection of standard health norms in the name of some extreme ideal of thinness but rather a need – or perhaps, a cry – for extra support.

A social science approach brings out these results. The effect of web interactions on health does not only depend on website contents, but also on how people actually use them, share them, and access resources through them. The social, rather than just clinical dimension of eating disorders, recognized long before the advent of the web (Bell 1985, Orbach 1978), becomes ever more relevant in the current context and calls for a more comprehensive view of the “ana” and “mia” social universe.

SupportANAMIA(Credit: Roberto Clemente)

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How many friends do you have?

How many people do you know? How many friends do you have? You may have tried to count your contacts on Facebook or other social networking websites. You may even have felt a bit weird realizing that your “real” friends — those you can rely on — are just a handful. As unexpected it might seem, business professionals have this question in mind too: they want to get a sense of the potentially useable social capital of their associates and employees.

Social research has investigated this matter intensely and can offer insight. There are, in fact, two aspects to be considered: the size of personal networks and the effects of online communication on socialisation.

The size of personal networks

A personal network. Hollow circles represent face-to-face contacts, filled circles represent online contacts. Green = emotionally intimate, blue = very close, yellow = close, red = not-so-close.

A personal network. Hollow circles represent face-to-face contacts, filled small circles represent online contacts, nested circles are both face-to-face and online. Green = emotionally intimate, blue = very close, yellow = close, red = not-so-close.

Let us first start with the size of personal networks. A milestone in this debate is the so-called “Dunbar’s number“, based on a 1992 study of Oxford anthropologist Robin Dunbar. The idea is that human cognitive capacities as measured by the size of the neocortex lead to a network size of around 148 (with some range of variation). The original study compared the size of the neocortex in various groups of primates and humans and referred to cohesive communities. The resulting limit indicates the number of people with whom one can maintain “stable” social relationships, i.e., know who each contact is, and how they are related to one another.

Other parts of the brain may be involved too, suggest neuroscientists: Lisa Barrett and her co-authors (2010) found a correlation between amygdala volume and social network size in humans. (I understand that the amygdala is the part of brain that regulates emotional responses and aggression, while the neocortex to which Dunbar referred is the part of the brain that presides higher mental functions.) (see this Blogpost for further information).

In social network analysis perspective, it is also important to define which social network we are measuring. Peter Marsden (1987) distinguished “core” networks from whole personal networks, pointing out that even when people have many friends, there are only a handful with whom they “can discuss important matters”. In this sense, core networks may not include more than five or six people. So if you thought you had very few friends, you shouldn’t feel weird after all… apparently the Portuguese have a saying, “You have five friends, and the rest is landscape.”

On the other hand, your full network also including mere acquaintances and weaker ties may be much larger than Dunbar’s: counts of full networks taken by Peter Killworth, H. Russel Bernard, Chris McCarthy and co-authors in the 1990s – 2000s went up to about 1500 for the average American. From these, they extracted more meaningful measures of networks that are really relevant for people’s daily lives and came up with other numbers: they found a mean personal network size of 290 (twice the Dunbar number!); more recently, Matthew Salganik and his co-authors (2010) have come up with an even larger size of 610 (twice Killworth’s number…).

Overall, an issue that emerges from many of these discussions is that cognitive capacities (however defined) matter primarily because they are associated with a basic limitation of all living beings –time is finite. Therefore, increasing the size of one’s personal network implies that less time is available for each contact: the size of the overall network increases, but the size of the core network doesn’t. Weak ties may gain at the expense of strong ties.

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