SOCIAL MEDIA

Informations du Cours
TitreΚΟΙΝΩΝΙΚΑ ΜΕΣΑ / SOCIAL MEDIA
CodeIWW-02-10
Cycle / Niveau2e cycle / Master
Semestre de l’annéeSpring
CoordinatorIoannis Pitas
CommonNon
StatutActif
Course ID600000902

Programme d' Études: Diadíktyo kai Pagkósmios Istós

Registered students: 0
OrientationAttendance TypeSemesterAnnéeECTS
KORMOSYPOCΗREŌTIKO KAT' EPILOGĪN217.5

Informations de la Classe
Année Académique2017 – 2018
Semestre de l’AnnéeSpring
Faculty Instructors
Weekly Hours3
Class ID
600111866
Course Type 2016-2020
  • Domaine Scientifique
Mode d’Enseignement
  • En présentiel
Accès en Ligne
Language of Instruction
  • Grec (Enseignement, Examens)
Aptitudes Générales
  • Application des connaissances à la pratique
  • Recherche, analyse et synthèse de données et d’informations, avec utilisation des technologies adéquates
  • Prise de décision
  • Travail en autonomie
  • Production de nouvelles idées de recherche
  • Promotion de la pensée libre, créatrice et inductive
Type de Matériels Éducatifs
  • Livre
Use of Information and Communication Technologies
Use of ICT
  • Emploi de TIC pour l’enseignement
Organisation du Cours
ActivitésCharge de travailECTSIndividuelEn groupeErasmus
Conferences1264.2
Etude & analyse bibliographiques421.4
Presentation d’une etude (projet)571.9
Examens
Total2257.5
Student Assessment
Student Assessment methods
  • Examen écrit : réponses courtes (Formative, Sommative)
  • Examen écrit : résolution de problèmes (Formative, Sommative)
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