Results 11 to 20 of about 17,020,446 (238)
Probabilistic Approach to Structural Change Prediction in Evolving Social Networks [PDF]
We propose a predictive model of structural changes in elementary subgraphs of social network based on Mixture of Markov Chains. The model is trained and verified on a dataset from a large corporate social network analyzed in short, one day-long time
Musial, Katarzyna +4 more
core +5 more sources
The dynamic structural patterns of social networks based on triad transitions [PDF]
In modern social networks built from the data collected in various computer systems we observe constant changes corresponding to external events or the evolution of underlying organizations.
Musial, Katarzyna +2 more
core +4 more sources
Stability in flux: Community structure in dynamic networks [PDF]
The structure of many biological, social and technological systems can usefully be described in terms of complex networks. Although often portrayed as fixed in time, such networks are inherently dynamic, as the edges that join nodes are cut and rewired ...
Jansen, Vincent AA +15 more
core +2 more sources
Temporal Degree-Degree and Closeness-Closeness: A New Centrality Metrics for Social Network Analysis
In the area of network analysis, centrality metrics play an important role in defining the “most important” actors in a social network. However, nowadays, most types of networks are dynamic, meaning their topology changes over time.
Mahmoud Elmezain +2 more
doaj +1 more source
Generalized Preference Learning for Trust Network Inference
Trust inference is essential in a plethora of data mining and machine learning applications. Unfortunately, conventional approaches to trust inference assume trust networks are available, while in practice they must be derived from social network ...
Domenico Mandaglio, Andrea Tagarelli
doaj +1 more source
Social networks: dynamic development sales channel
Purpose of work. To show the dynamics of development of Internet and mass communications and their socialization, which means maximum involvement of both companies and people in the use of modern promotion technologies, their constant improvement and ...
T. P. Gorelova
doaj +1 more source
Maximization influence in dynamic social networks and graphs
Social influence and influence diffusion have been extensively studied in social networks. However, most existing works on influence diffusion focus on static networks.
Gkolfo I. Smani +1 more
doaj +1 more source
Metaheuristic Multi-Objective Method to Detect Communities on Dynamic Social Networks
Community detection is an important area in social networks analysis, which has many applications. Most social networks are inherently dynamic, consisting of constantly changing communities and therefore, community detection is a challenge in such ...
Fatemeh Besharatnia +2 more
doaj +1 more source
Dynamic social community detection and its applications. [PDF]
Community structure is one of the most commonly observed features of Online Social Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only provides helpful insights into developing more efficient social-aware ...
Nam P Nguyen +3 more
doaj +1 more source
The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making ...
Antonios Pliatsios +2 more
doaj +1 more source

