SOCIAL MEDIA

Informazioni sull’Insegnamento
TitoloΚΟΙΝΩΝΙΚΑ ΜΕΣΑ / SOCIAL MEDIA
CodiceIWW-02-10
Ciclo / Livello di Studi2. Post Laurea
Semestre di InsegnamentoSpring
CoordinatorIoannis Pitas
CommonNo
StatoAttivo
Course ID600000902

Programma di Studio: Diadíktyo kai Pagkósmios Istós

Registered students: 0
IndirizzoTipo di FrequenzaSemestreAnnoECTS
KORMOSFacoltativo a scelta obbligata217.5

Informazioni sull’Insegnamento
Anno Accademico2016 – 2017
SemestreSpring
Faculty Instructors
Weekly Hours3
Class ID
600040005
Course Type 2016-2020
  • Area Scientifica
Organizzazione della Didattica
  • In presenza
Materiali Online
Language of Instruction
  • Greco (Insegnamento, Esame)
Abilita’ Generali
  • Applicazione pratica delle conoscenze acquisite
  • Ricerca, analisi e raccolta dati e informazioni, con l’utilizzo di tecnologie adeguate
  • Presa di decisione
  • Lavoro autonomo
  • Produzione di nuove idee di ricerca
  • Promuovere il pensiero indipendente, creativo e intuitivo
Tipologia di Materiale Didattico
  • Esercizi interattivi
Use of Information and Communication Technologies
Use of ICT
  • Uso delle TIC   nell’ insegnamento
Organizzazione dell’Insegnamento
ActivitiesCarico di LavoroECTSIndividualeGruppoErasmus
Conferenze1264.2
Studio e analisi bibliografica421.4
Progetto (project)571.9
Esame
Total2257.5
Student Assessment
Student Assessment methods
  • Prova scritta semistrutturata con risposta breve (Formativa, Sommativa)
  • Prova scritta con soluzione di problemi (Formativa, Sommativa)
Bibliography
Course Bibliography (Eudoxus)
“Graph-Based Social Media Analysis”, edited by Ioannis Pitas, CRC Press, 2016.
Additional bibliography for study
•Exponential Random Graph Models for Social Networks: Theory, Methods and Applications (Structural Analysis in the Social Sciences)”, by Dean Lusher, Johan Koskinen and Garry Robins, Cambridge University Press, 2012. •“Social Network Analysis (Quantitative Applications in the Social Sciences)” by David Knoke and Song Yang, SAGE, 2007. •“Social Network Analysis and Education: Theory, Methods & Applications”, by Brian V. Carolan, SAGE, 2013. •“Analyzing Social Networks”, by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson, SAGE, 2013. •“Large-Scale Data Analytics”, by Aris Gkoulalas-Divanis and Abderrahim Labbi, Springer, 2014. •“Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn and Other Social Media Sites”, by Matthew A. Russell, O’Reilly, 2011. •“Social Network Analysis for Startups: Finding connections on the social web”, by Maksim Tsvetovat and Alexander Kouznetsov, O’Reilly, 2011. •“Social Network Analysis: A Handbook”, by John Scott, SAGE, 2000. •“Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)”, by Stanley Wasserman and Katherine Faust, 1994. •“Graph Mining: Laws, Tools, and Case Studies”, by D. Chakrabarti and C Faloutsos, Morgan & Claypool, 2012. The book is a rather short one and covers only few of the tools (e.g., tensors) and applications at hand (e.g., community detection, diffusion). •“Networks: an introduction” by M. Newman, Oxford University Press, 2010. •“Networks, Crowds, and Markets”, by Easley and Kleinberg, Cambridge University Press, 2010. •“Introduction to Computational Social Science”, by Claudio Cioffi-Revilla, Springer, 2014.
Last Update
29-02-2016