In the past decade, two topics have generated much interest in the idea of social networks and network analysis. These are social capital, popularised by Robert Putnam, and small-worlds, popularised by Duncan Watts and Albert-László Barabási. Social capital highlights local processes and network structures, theorizing the ways in which relations and their patterns link individuals and groups to resources and beneficial outcomes. Small-worlds emphasizes global network structures, describing how large, heterogeneous networks can nonetheless appear small to individual actors, largely as a result of the high clustering and weak, bridging ties that make up these networks‘ structure. Although social capital and small-worlds share social networks as a common basis, they emphasize different sides of a spectrum: social capital focuses on the local and small-worlds on the global. In addition, both focus on seemingly different social phenomena: social capital emphasizes access to resources, whereas small-worlds emphasize the tension of actors living in a social world that is simultaneously large and small. In spite of these differences, the literature points towards overlaps in the ways in which network structure is described: both social capital and small-worlds discuss structures of openness and closure, and these structural overlaps provide a means by which to start exploring, on a theoretical level, additional ways in which to bring about a synthesis of the two bodies of literature. In this paper, I situate social capital as an explanatory framework for the emergence of small-worlds. I do this through three phases: first, I discuss how each topic describes and theorizes opennenss and closure. Next, I develop a series of propositions that show how social capital can be linked to small-worlds in a coherent framework. Finally, I offer an empirical illustration of these propositions through the use of p*, one of the models from the larger family of exponential random graph models (ERGMs), which allow analysts to test the probability of certain local structural tendencies in a given network.
Giorgio BertiniResearch on society, culture, art, neuroscience, cognition, critical thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, leadership, sustainability, thinkers, futures ++
Academic SupportThe Learning Change Project is a personal not for profit and without sponsors multidisciplinary initiative to support academic activities. Use the files freely for your Courses or Research. To prepare Reading Lists explore the Category List or Search for the topic of your interest. If you need any support, contact me.
870 Posts in this BlogFollow my Networks for recent Posts. For authors, date, publishers +metadata, view the source.
- Follow Learning Research & Change Methods on WordPress.com
Recent Posts: Learning Art
Learning Community Change
Learning Cultural Change
Learning Philosophy of Change
Learning Political Economy of Change
Learning Research & Change Methods
Learning Sciences of Change
Learning Sustainability of Change
Learning Technologies of Change
- My Tweets