Glossary
- A Social Network (SN):
-
is a set of social relationships between actors, where actors represent individuals, groups of individuals, or larger organizations. A social network can also contain nonrelational information, such as data about the individuals.
- A Social Network Site (SNS):
-
is a Web 2.0 site where users can create user profiles and interact with other users, for example sharing messages.
- An Online Social Network (OSN):
-
contains information collected from a SNS or from other online services about online interactions.
Definition
Multiple Social Network Analysis is a discipline defining models, measures, methodologies, and algorithms to study multiple social networks together as a single social system. It is particularly valuable when the networks are interconnected, e.g., the same actors are present in more than one network.
Introduction
If we consider...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Afsarmanesh N, Magnani M (2016) Finding overlapping communities in multiplex networks. http://arxiv.org/abs/1602.03746
Battiston F, Nicosia V, Latora V (2014) Structural measures for multiplex networks. Phys Rev E 89(3):032804. https://doi.org/10.1103/PhysRevE.89.032804
Berlingerio M, Coscia M, Giannotti F (2011a) Finding and characterizing communities in multidimensional networks. In: International conference on advances in social networks analysis and mining (ASONAM), IEEE Computer Society Washington, DC, USA, pp. 490–494
Berlingerio M, Coscia M, Giannotti F, Monreale A, Pedreschi D (2011b) Foundations of multidimensional network analysis. In: 2011 International conference on advances in social networks analysis and mining, IEEE Computer Society Washington, DC, USA, pp. 485–489. https://doi.org/10.1109/ASONAM.2011.103
Berlingerio M, Pinelli F, Calabrese F (2013) ABACUS: frequent pAttern mining-BAsed community discovery in mUltidimensional networkS. Data Min Knowl Disc 27(3):294–320
Boyd D (2008) Taken out of context: American teen sociality in networked publics. PhD thesis, University of California-Berkeley, School of Information
Boyd D (2010) Privacy and publicity in the context of big data. WWW. Raleigh, North Carolina, April 29. http://www.danah.org/papers/talks/2010/WWW2010.html
Bródka P, Stawiak P, Kazienko P (2011) Shortest path discovery in the multi-layered social network. In: 2011 International conference on advances in social networks analysis and mining, IEEE Computer Society Washington, DC, USA, pp. 497–501. https://doi.org/10.1109/ASONAM.2011.67
Bródka P, Kazienko P, Musial K, Skibicki K (2012) Analysis of neighbourhoods in multi-layered dynamic social networks. Int J Comp Intel Sys 5(3):582–596
Buldyrev SV, Parshani R, Paul G, Stanley HE, Havlin S (2010) Catastrophic cascade of failures in interdependent networks. Nature 464(7291):1025–1028. https://doi.org/10.1038/nature08932
Cai D, Shao Z, He X, Yan X, Han J (2005a) Community mining from multi-relational networks. PKDD 3721:445–452. https://doi.org/10.1007/11564126 44
Cai D, Shao Z, He X, Yan X, Han J (2005b) Mining hidden community in heterogeneous social networks. In: International workshop on link discovery (LinkKDD), ACM Press, pp. 58–65. https://doi.org/10.1145/1134271.1134280
Celli F, Di Lascio FML, Magnani M, Pacelli B, Rossi L (2010) Social network data and practices: the case of friendfeed. In: International conference on social computing, behavioral modeling and prediction, Lecture notes in computer science. Springer, Berlin/Heidelberg
Cheng X, Dale C, Liu J (2008) Statistics and social network of YouTube videos. In: 2008 16th International workshop on quality of service, IEEE Press Piscataway, NJ, USA, pp. 229–238. https://doi.org/10.1109/IWQOS.2008.32
Contractor N (2009) The emergence of multidimensional networks. J Comput-Mediat Commun 14(3):743–747. https://doi.org/10.1111/j.1083-6101.2009.01465.x
Cozzo E, Kivelä M, De Domenico M, Solé A, Arenas A, Gómez S, Porter MA, Moreno Y (2015) Structure of triadic relations in multiplex networks. New J Phys 17, 073029
De Domenico M, Nicosia V, Arenas A, Latora V (2015) Structural reducibility of multilayer networks. Nat Commun, 6:6864
De Domenico M, Porter MA, Arenas A (2015) MuxViz: a tool for multilayer analysis and visualization of networks. J Complex Netw, 3(2): 159–176
Dickison ME, Magnani M, Rossi L (2016) Multilayer social networks. Cambridge University Press
Fatemi Z, Salehi M, Magnani M (2016) A simple multiforce layout for multiplex networks. http://arxiv.org/abs/1607.03914
Fortunato S (2010) Community detection in graphs. Phys Rep 486(3–5):75–174. https://doi.org/10.1016/j.physrep.2009.11.002
Huang L, Liu J (2010) Characterizing multiplex social dynamics with autonomy oriented computing. In: Life system modeling and intelligent computing, Lecture Notes in Computer Science, vol 6329. Springer, Berlin, Heidelberg, pp 277–287
Huberman BA, Romero DM, Wu F (2009) Social network that matter: twitter under the microscope. First Monday 14(1)
Iacobucci D, Wasserman S (1990) Social networks with two sets of actors. Psychometrika 55(4):707–720
Kazienko P, Bródka P, Musial K, Gaworecki J (2010a) Multi-layered social network creation based on bibliographic data. In: Elmagarmid AK, Agrawal D (eds) SocialCom/PASSAT, IEEE Computer Society, pp 407–412
Kazienko P, Bródka P, Musial K, Gaworecki J (2010b) Multi-layered social network creation based on bibliographic data. In: 2010 I.E. second international conference on social computing, IEEE, pp. 407–412. https://doi.org/10.1109/SocialCom.2010.65
Kivelä M, Arenas A, Barthelemy M, Gleeson JP, Moreno Y, Porter MA (2014) Multilayer networks. J Commun Netw 2(3):203–271. https://doi.org/10.1093/comnet/cnu016
Lazega E, Pattison PE (1999) Multiplexity, generalized exchange and cooperation in organizations: a case study. Soc Networks 21(1):67–90
Lazega E, Jourda MT, Mounier L, Stofer R (2008) Catching up with big fish in the big pond? Multilevel network analysis through linked design. Soc Networks 30(2):159–176
Leskovec J, Huttenlocher D, Kleinberg J (2010) Predicting positive and negative links in online social networks. In: Proceedings of the 19th international conference on World wide web, ACM, New York, WWW’10, pp. 641–650. https://doi.org/10.1145/1772690.1772756.
Magnani M, Rossi L (2011a) The ML-model for multilayer network analysis. In: IEEE international conference on advances in social network analysis and mining, IEEE Computer Society, Los Alamitos.
Magnani M, Rossi L (2011b) The ML-model for multi-layer social networks. In: International conference on social network analysis and mining (ASONAM), IEEE Computer Society Washington, DC, USA, pp. 5–12.
Magnani M, Rossi L (2013a) Formation of multiple networks. In: Social computing, behavioral-cultural modeling and prediction. Springer, Berlin Heidelberg, pp 257–264
Magnani M, Rossi L (2013b) Pareto distance for multi-layer network analysis. In: Greenberg AM, Kennedy WG, Bos ND (eds) Social computing, behavioral-cultural modeling and prediction, Lecture notes in computer science, vol 7812. Springer, Berlin. https://doi.org/10.1007/978-3-642-37210-0
Minor MJ (1983) New directions in multiplexity analysis. In: Burt RS, Minor MJ (eds) Applied network analysis. Sage, pp 223–244
Moreno JL, Jennings HH (1934) Who shall survive?: a new approach to the problem of human interrelations. Nervous and Mental Disease Publishing Co., Washington, DC
Mucha PJ, Richardson T, Macon K, Porter MA, Onnela JP (2010) Community structure in time-dependent, multiscale, and multiplex networks. Science 328(5980):876–878. https://doi.org/10.1126/science.1184819
Pepe A, Wolff S, Godtsenhoven KV (2011) One, none and one hundred thousand profiles: reimagining the pirandellian identity dilemma in the era of online social networks, arXiv:1109.3428
Rainie L, Wellman B (2012) Networked: the new social operating system. MIT Press, Cambridge
Rossi L, Magnani M (2015) Towards effective visual analytics on multiplex and multilayer networks. Chaos, Solitons, Fractals 72:68–76
Stefanone M, Kwon K, Lackaff D (2011) The value of online friends: networked resources via social network sites. First Monday 16(2)
Sun Y, Han J, Zhao P, Yin Z, Cheng H, Wu T (2009) RankClus. In: Proceedings of the 12th international conference on extending database technology advances in database technology – EDBT’09, ACM Press, New York, p. 565. https://doi.org/10.1145/1516360.1516426
Sun Y, Han J, Aggarwal CC, Chawla NV (2012) When will it happen? In: Proceedings of the fifth ACM international conference on Web search and data mining – WSDM’12, ACM Press, New York, p. 663. https://doi.org/10.1145/2124295.2124373
Szell M, Lambiotte R, Thurner S (2010) Multirelational organization of large-scale social networks in an online world. PNAS 107(31):13636–13641
Tang L, Liu H (2009) Relational learning via latent social dimensions. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, New York, KDD’09, pp. 817–826. https://doi.org/10.1145/1557019.1557109
Turkle S (1995) Life on the screen: identity in the age of the internet. Simon & Schuster, New York
Verbrugge LM (1979) Multiplexity in adult friendships. Soc Forces 57(4):1286–1309. https://doi.org/10.1093/sf/57.4.1286
Yin X, Han J, Yu PS (2006) LinkClus: efficient clustering via heterogeneous semantic links. In: Proceedings of the 32nd international conference on very large data bases, VLDB Endowment, VLDB’06 Endowment, pp. 427–438
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media LLC, part of Springer Nature
About this entry
Cite this entry
Magnani, M., Rossi, L. (2018). Multiple Social Networks, Data Models and Measures for. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_33
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7131-2_33
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-7130-5
Online ISBN: 978-1-4939-7131-2
eBook Packages: Computer ScienceReference Module Computer Science and Engineering