It is the begining of essay for Encyclopedia of Social Network Analysis and Mining, Springer 2013, so please cite as: Bródka P., Kazienko P., Multi-layered Social Networks, Encyclopedia of Social Network Analysis and Mining, Springer 2013
It is quite obvious that in the real world, more than one kind of relationship can exist between two actors and that those ties can be so intertwined that it is impossible to analyse them separately [Fienberg 85], [Minor 83], [Szell 10]. Social networks with more than one type of relation are not a completely new concept [Wasserman 94] but they were analysed mainly at the small scale, e.g. in [McPherson 01], [Padgett 93], and [Entwisle 07]. Just like in the case of regular single-layered social network there is no widely accepted definition or even common name. At the beginning such networks have been called multiplex network [Haythornthwaite 99], [Monge 03]. The term is derived from communications theory which defines multiplex as combining multiple signals into one in such way that it is possible to separate them if needed [Hamill 06]. Recently, the area of multi-layered social network has started attracting more and more attention in research conducted within different domains [Kazienko 11a], [Szell 10], [Rodriguez 07], [Rodriguez 09], and the meaning of multiplex network has expanded and covers not only social relationships but any kind of connection, e.g. based on geography, occupation, kinship, hobbies, etc. [Abraham 12]. This essay aims to summarize existing knowledge about one concept which has many different names i.e. the concept of Multi-layered Social Network also known as Layered social network, Multi-relational social network, Multidimensional social network, Multiplex social network
Cost-Effective Activity Control of Asymptomatic Carriers in Layered Temporal Social Networks
Institute for Research in Fundamental Sciences (IPM)(基础科学研究院);University of Tehran(德黑兰大学);University of Alberta(阿尔伯塔大学);Nazarbayev University(纳扎尔巴耶夫大学);University of California, Merced(加州大学默塞德分校)
Testing network clustering algorithms with Natural Language Processing
ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France(巴黎法兰西岛复杂系统研究所);CNRS(法国国家科学研究中心);CAMS - Centre d’Analyse et de Mathématique sociales(分析与数学社会研究中心)