Name
Title | ||
|---|---|---|
Characteristic Analysis Of The Edge Centrality Based On Activity Propagation In Information Networks |
Abstract | ||
|---|---|---|
Individual activities propagate on social networks and had a large impact on our society. For example, incitement acts such as hoaxes, widely propagated through social media, gave unnecessary confusion and uneasiness to many people. The purpose of this study is to propose an edge centrality index in a network considering the propagation of activities through analysis. Our previous studies have proposed an evaluation method that quantifies the edge importance based on an activity propagation model. The model represents the propagation by an equalization process of the variable amount given to each vertex. In this paper, we analyze the relationship between the structural features of an information network and activity propagation speed in order to clarify the characteristics of the proposed centrality and the propagation model. As a result, we found that the average path length, algebraic connectivity, and assortativity have a large influence on the activity propagation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMC.2018.00274 | 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) |
Keywords | Field | DocType |
Activity Propagation, Edge Centrality, Graph Theory | Graph theory,Average path length,Topology,Assortativity,Social network,Vertex (geometry),Equalization (audio),Computer science,Centrality,Algebraic connectivity,Artificial intelligence,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eiichi Takazawa | 1 | 0 | 0.34 |
| Kento Hamada | 2 | 0 | 0.34 |
| Norihiko Shinomiya | 3 | 50 | 19.15 |