Abstract Information extracted from social network services promise to improve the accuracy
of recommender systems in various domains. Against this background, community detection …

Topic-based communities have gradually become a considerable medium for netizens to
disseminate and acquire knowledge. These communities consist of entities (actual objects …

Team formation is concerned with the identification of a group of experts who have a high
likelihood of effectively collaborating with each other to satisfy a collection of input skills …

Network evolution is one of the emerging research directions in the field of social network
analysis, where link prediction plays a crucial role in modeling network dynamics in social …

In this paper, we focus on the problem of discovering internally connected communities in
event-based social networks (EBSNs) and propose a community detection method by …

Log parsing is a critical task that converts unstructured raw logs into structured data for
downstream tasks. Existing methods often rely on manual string-matching rules to extract …

Network alignment, or identifying the same entities (anchors) across multiple networks, has
significant applications across diverse fields. Unsupervised approaches for network …

The purpose of this article is to screen out the most important factors affecting China's
economic growth. Based on a literature review and relevant financial theoretical knowledge …

The team discovery task is concerned with finding a group of experts from a collaboration
network who would collectively cover a desirable set of skills. Most prior work for team …

The ubiquity of user-item interactions makes it essential and challenging to utilize the rich
variety of hidden structural and temporal information for effective and efficient …