www.MountainRunner.us

Matt Armstrong's blog on public diplomacy, international journalism, and the struggle against propaganda

The world of Wikileaks Part 2: A means of evaluating Public Diplomacy

By Ali Fisher

Wikileaks Part 2 looks at the impact of releasing information through the traditional media on the network of interactions using social media and reflects on the potential to use network analysis in evaluation. (See also The Small World of Wikileaks, Part 1.)

image From a Strategic Communications and Public Diplomacy perspective, evaluation has become increasingly important with forthcoming reports and even spending decisions, for example, in the UK. If an organisation is seeking to develop lasting relationships, seeking to subsequently identify those relationships would be a logical part of any evaluation or bid for further funding.

The example of Wikileaks has much in common with those engaged in Public Diplomacy and seeking to measure their attempts to disperse information on specific issues. In terms of Public Diplomacy, Wikileaks part 1 discussed creating a baseline of interactions and information sharing behaviours. Part 1 also highlighted that information about Wikileaks was trapped in a ‘Small World’ limiting the ability of Wikileaks to go mainstream.

Continue reading

An Introduction to Using Network Maps in Public Diplomacy and Strategic Communication

By Ali Fisher

We live in a networked world. Whether known as family, kinship, tribe, village, neighbourhood, community, work place colleagues, or online social network, they are all networks in the sense of being a series of relationships between different individuals.

Social network analysis (SNA) explores the relationship between actors within a network by identifying the points that people “huddle around”. Network maps allow a researcher to visualise and analyse data on complex interactions or relationships between large numbers of actors. In these maps the dots (nodes) are actors within the network and the lines (ties, edges or arcs) identify a relationship between the nodes which the tie connects.

Through the maps, groups (or cliques) can be seen more rapidly than a through a text based list. Groups that have high levels of interaction with each other form clusters of dots in different areas of the network map.

Continue reading