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Data Big and Small

Data Big and Small

A social scientist's venture into big data, while still learning much from surveys and fieldwork

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Category Archives: Computational social science

Thematic school on SNA & Complexity

20180925_151108Just back from a stimulating summer school on social network analysis and complexity, organised in sunny Cargèse (Corsica). Lots of exciting talks on communities, network dynamics, and complex social structures, with a touch of genuine interdisciplinarity.

There, I gave a talk on agent-based models and simulation, and co-led a workshop on20180924_083521statistical models for social network data.

The summer school was organized by GDR Analyse des réseaux en sciences humaines et sociales and a short report is available here (in French), with a few more blog posts (also in French) here.

Posted bypaolatubaro30/09/201819/10/2018Posted inComputational social science, Data & methods, EventsTags:Complexity, Social networks, Social scienceLeave a comment on Thematic school on SNA & Complexity

Programme now online, “More than complex: large and rich network structures”

As part of the upcoming NetSci2018 conference in Paris, I co-organize a satellite event that aims to foster interdisciplinary reflection on how methods from social science can be upscaled to large network structures and on how methods from complex systems can be downscaled to deal with small heterogeneous structures.

The idea is to reconcile two traditions of research that have remained separate so far. Sociology typically handles small but rich networks where a wealth of network attributes results from the complexity of the data collection design. Differences across nodes and edges enable to capture the social processes underlying network structures and their dynamics. Instead, the complex systems tradition handles large but poorly-specified networks. Assuming statistical equivalence of graph entities, a mean field treatment suffices to describe the aggregate properties of the network. Today’s network data-sets contain an unprecedented quantity of relational information within and between all possible levels: individuals, social groups, organizations, and macro entities. Such large and rich network structures expose the implicit limitations of the two above-mentioned approaches: classical sociological methods cannot be upscaled because of their heavy algorithms, and those from complex systems lose track of the multi-faceted nature of social actors, their relationships and their processes.

Our satellite event aims to move forwards, inviting an inter-disciplinary reflection and exploring ways in which these limitations can be overcome.

The program of the satellite is now online.

I am most pleased to co-organize this satellite event with Floriana Gargiulo, Sylvie Huet, and Emmanuel Lazega.

We are honored to count, among our invited speakers, Camille Roth, Matthieu Latapy, Fariba Karimi, and Noshir Contractor.

Posted bypaolatubaro07/04/2018Posted inComputational social science, Data & methods, EventsTags:Big data, Complex systems, Events, interdisciplinary collaboration, Network science, Online social networks, Social network data, Social networksLeave a comment on Programme now online, “More than complex: large and rich network structures”

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