  Recent years have witnessed a growing number of researches on community
characterization. In contrast to the large body of researches on the
categorical measures (rise or decline) for evaluating the community
development, we propose to estimate the community development strength (to
which degree the rise or decline is). More specifically, given already known
categorical information of community development, we are attempting to quantify
the community development strength, which is of great interest. Motivated by
the increasing availability of large-scale data on the network between entities
among communities, we investigate how to score the the community's development
strength. We formally define our task as prospecting community development
strength from categorization based on multi-relational network information and
identify two challenges as follows: (1) limited guidance for integrating entity
multi-relational network in quantifying the community development strength; (2)
the existence of selection effect that the community development strength has
on network formation. Aiming at these challenges, we start by a hybrid of
discriminative and generative approaches on multi-relational network-based
community development strength quantification. Then a network generation
process is exploited to debias the selection process. In the end, we
empirically evaluate the proposed model by applying it to quantify enterprise
business development strength. Experimental results demonstrate the
effectiveness of the proposed method.
