Community related applications such as dating platforms, instant messengers, or file-sharing tools enjoyag reat popularity in the Internet. Motivated by this success, community-awareness also has become ahot topic in the mobile world. Despite considerable efforts, however, mobile solutions still cannot compete with their Internet counterparts. Akey feature of community-aware applications is profile matching. To alarge extent, the missing popularity of mobile approaches can be explained with the

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... problems traditional one-to-one keyword matching causes in ap urely decentralized environment: Expressive keywords are unlikely to match because of al ack in user density,and asuperficial keyword classification misses the application needs. Hence, we face the challenge to compare characteristic topics in purely mobile applications. To address this challenge, this paper presents afundamentally newmatching scheme based on acombination of topology analysis and distance labeling. Proof-of-concept experiments demonstrate that the proposed scheme has indeed the potential to facilitate the comparison of highly specialized keywords in mobile environments.