The Mismanagement of Environmental Conflicts

During the Communist regime, companies' conflicts with the public were hidden. The public did not have the right to express their objection. Recent Hungarian law, however, supports people's right to influence decisions that have an impact on their lives, but attitudes change slowly. In this article, I show the typical methods of companies' mismanagement of environmental conflicts. The first part of the article concentrates on strategic issues, and the second one emphasizes mistakes in communication with local communities. There are signs that Hungarian companies have already started to learn their lesson, but they also need help to face the new situation of the post-Communist era. Conflict theory and conflict resolution techniques may help them to deal with communication problems and to reach win-win solutions. Although not unknown, facilitation is not a common technique in Hungary yet. This means that there is potential for its development.

Measuring centrality by a generalization of degree

Network analysis has emerged as a key technique in communication studies, economics, geography, history and sociology, among others. A fundamental issue is how to identify key nodes in a network, for which purpose a number of centrality measures have been developed. This paper proposes a new parametric family of centrality measures called generalized degree. It is based on the idea that a relationship to a more interconnected node contributes to centrality in a greater extent than a connection to a less central one. Generalized degree improves on degree by redistributing its sum over the network with the consideration of the global structure. Application of the measure is supported by a set of basic properties. A sufficient condition is given for generalized degree to be rank monotonic, excluding counter-intuitive changes in the centrality ranking after certain modifications of the network. The measure has a graph interpretation and can be calculated iteratively. Generalized degree is recommended to apply besides degree since it preserves most favorable attributes of degree, but better reflects the role of the nodes in the network and has an increased ability to distinguish between their importance.