… Figure 1 shows the structure of multiple linked heterogeneous networks that we study in this
paper. A user may have accounts on different social networks, our … Session 6A: Social Media …

… Social networks are heterogeneous systems composed of different types of nodes (eg
users, content, groups, etc.) and relations (eg social or similarity relations). While learning and …

… social network used in our experiments (Figure 1) links users, … tasks can be conducted on
heterogeneous networks such as … as tasks more specific of social media, such as information …

… , most of the existing representation learning methods for … representation learning framework
for users and POIs in LBSN, named UP2VEC. In UP2VEC, we present a heterogeneous …

… microblogs as heterogeneous networks and we use an approach based on latent representation
of nodes to infer, given a specific topic, the sentiment polarity of posts and users at the …

… each social network is modeled as a layer of the multiplex network… representations for
anchor users on each social network by incorporating both user’s intra-network and cross-network …

… is modeled by a graph, where the nodes represent individuals… -network, user-independent
analysis to multi-network, user-… : multiple, heterogeneous social networks are ubiquitous in …

… In this section, we first establish the heterogeneous social network through the user-item …
relationships in the 100 K MovieLens dataset are represented in the form of user-movie rating …

… ontology representation [9] is selected in this study to model users’ semantic interests, and
… the heterogeneous social network with both undirected and directed edges by treating user …

… a unified representation space across heterogeneous SNs. … to a user, here a vertex can
also represent other entity such as … The types of entities depend on the specific social network (…