Recently, Network Embedding (NE) has become one of the most attractive research topics in
machine learning and data mining. NE approaches have achieved promising performance …

Structural roles define sets of structurally similar nodes that are more similar to nodes inside
the set than outside, whereas communities define sets of nodes with more connections …

Effectively understanding and enhancing communication flows among employees within an
organizational hierarchy is crucial for optimizing operational and decision-making efficiency …

Identity stitching, the task of identifying and matching various online references (eg, sessions
over different devices and timespans) to the same user in real-world web services, is crucial …

While most network embedding techniques model the proximity between nodes in a
network, recently there has been significant interest in structural embeddings that are based …

Since most of the real-world networks are heterogeneous, existing methods cannot
characterize the roles of nodes in heterogeneous networks. The neighborhood structure of …

This paper proposes the CorpRank algorithm to extract social hierarchies from electronic
communication data. The algorithm computes a ranking score for each user as a weighted …

Similar to community detection, partitioning the nodes of a complex network according to
their structural roles aims to identify fundamental building blocks of a network, which can be …

Individuals' personal information collections (their emails, files, appointments, web searches,
contacts, etc) offer a wealth of insights into the organization and structure of their everyday …

Background The consultancy industry, valued at£ 18.6 billion, faces evolving challenges
and opportunities in the post-COVID era. Consultancy and bid writing firms play a critical …