A Simple Framework to Typify Social Bibliographic Communities

TL;DR

This paper introduces a straightforward framework for characterizing social bibliographic communities, focusing on DBLP, by analyzing directed author relationships and decomposing community patterns into fundamental structures.

Contribution

It proposes a simple typifying description model for social communities in bibliographic databases, emphasizing directed author relationships and pattern decomposition.

Findings

Community types can be characterized by fundamental structural patterns.

Decomposition of relationships supports adaptive community management.

Framework applicable to DBLP and potentially other bibliographic datasets.

Abstract

Social Communities in bibliographic databases exist since many years, researchers share common research interests, and work and publish together. A social community may vary in type and size, being fully connected between participating members or even more expressed by a consortium of small and individual members who play individual roles in it. In this work, we focus on social communities inside the bibliographic database DBLP and characterize communities through a simple typifying description model. Generally, we understand a publication as a transaction between the associated authors. The idea therefore is to concern with directed associative relationships among them, to decompose each pattern to its fundamental structure, and to describe the communities by expressive attributes. Finally, we argue that the decomposition supports the management of discovered structures towards the use of adaptive-incremental mind-maps.