Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hajibagheri, Alireza"'
Autor:
Hajibagheri, Alireza, Sukthankar, Gita
Many interesting real-world systems are represented as complex networks with multiple types of interactions and complicated dependency structures between layers. These interactions can be encoded as having a valence with positive links marking intera
Externí odkaz:
http://arxiv.org/abs/1804.07210
Networks extracted from social media platforms frequently include multiple types of links that dynamically change over time; these links can be used to represent dyadic interactions such as economic transactions, communications, and shared activities
Externí odkaz:
http://arxiv.org/abs/1609.03946
Most real-world social networks are inherently dynamic, composed of communities that are constantly changing in membership. To track these evolving communities, we need dynamic community detection techniques. This article evaluates the performance of
Externí odkaz:
http://arxiv.org/abs/1609.02622
The aim of link prediction is to forecast connections that are most likely to occur in the future, based on examples of previously observed links. A key insight is that it is useful to explicitly model network dynamics, how frequently links are creat
Externí odkaz:
http://arxiv.org/abs/1604.03221
Autor:
Hajibagheri, Alireza
Publikováno v:
Electronic Theses and Dissertations.
Human societies are inherently complex and highly dynamic, resulting in rapidly changing social networks, containing multiple types of dyadic interactions. Analyzing these time-varying multiplex networks with approaches developed for static, single l
Externí odkaz:
https://stars.library.ucf.edu/etd/5373
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=6373&context=etd
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=6373&context=etd
Publikováno v:
Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part II; 2016, p55-70, 16p
Publikováno v:
Social Computing, Behavioral-Cultural Modeling & Prediction; 2015, p65-74, 10p
Publikováno v:
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2014); 2014, p101-107, 7p
Publikováno v:
2013 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2013); 8/25/2013, p175-182, 8p
Publikováno v:
16th CSI International Symposium on Artificial Intelligence & Signal Processing (AISP 2012); 1/ 1/2012, p222-227, 6p