Name
Abstract | ||
|---|---|---|
Distinct social networks are interconnected via membership overlap, which plays a key role when crossing information is investigated in the context of multiple-social-network analysis. Unfortunately, users do not always make their membership to two distinct social networks explicit, by specifying the so-called me edge (practically, corresponding to a link between the two accounts), thus missing a potentially very useful information. As a consequence, discovering missing me edges is an important problem to address in this context with potential powerful applications. In this paper, we propose a common-neighbor approach to detecting missing me edges, which returns good results in real-life settings. Indeed, an experimental campaign shows both that the state-of-the-art common-neighbor approaches cannot be effectively applied to our problem and, conversely, that our approach returns precise and complete results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ins.2015.05.014 | Information Sciences |
Keywords | DocType | Volume |
Social networks,Identity management,Membership overlap | Journal | 319 |
Issue | ISSN | Citations |
C | 0020-0255 | 21 |
PageRank | References | Authors |
0.62 | 49 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Buccafurri | 1 | 998 | 95.97 |
| Gianluca Lax | 2 | 358 | 38.52 |
| Antonino Nocera | 3 | 319 | 27.82 |
| Domenico Ursino | 4 | 897 | 104.96 |