Cross-domain identity association of network entities is a significant research challenge and
a vital issue of practical value in relationship discovery and service recommendation …

With the prosperity of online social networks, more and more users have multiple social
accounts at the same time in heterogeneous social networks. Associating the same user …

Network entities have important asset mapping, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …

The current iteration of the SG-CIM (State Grid Common Information Model) requires manual
extraction of entity attributes from texts such as design plans and reports. To address the …

Heterogeneous information networks, which consist of multi-typed vertices representing
objects and multi-typed edges representing relations between objects, are ubiquitous in the …

Most people have identities on multiple social network sites (SNSs) simultaneously to meet
their diverse needs for social media use. User identity identification across SNSs has been a …

In this paper, we report our discovery on named entity distribution in a general word
embedding space, which helps an open definition on multilingual named entity definition …

The same user registers on different social platforms which scatters user data across
multiple platforms, these data are incomplete, unreliable, and underutilized. Through the …

Users participate in multiple social networks for different services. User identity linkage aims
to predict whether users across different social networks refer to the same person, and it has …

Nowadays, people tend to join multiple social networks to enjoy different kinds of services.
User identity linkage across social networks is of great importance to cross-domain …