Behavior analysis in social networks: Challenges, technologies, and trends

The research on social networks has advanced significantly, which can be attributed to the prevalence of the online social websites and instant messaging systems as well as the popularity of mobile apps that support easy access to online social networks. These social networks are usually characteriz...

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Main Authors: WANG, Meng, Ee-peng LIM, LI, Lei, ORGUN, Mehmet
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/3622
https://ink.library.smu.edu.sg/context/sis_research/article/4623/viewcontent/BehaviorAnalysisSocialNetworks_ed_2016.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-46232021-06-07T05:52:31Z Behavior analysis in social networks: Challenges, technologies, and trends WANG, Meng Ee-peng LIM, LI, Lei ORGUN, Mehmet The research on social networks has advanced significantly, which can be attributed to the prevalence of the online social websites and instant messaging systems as well as the popularity of mobile apps that support easy access to online social networks. These social networks are usually characterized by the complex network structures and rich contextual information. They now become the key platforms for, among others, content dissemination, professional networking, recommendation, alerting, and political campaigns. As online social network users perform activities on the social networks, they leave data traces of human behavior which allow the latter to be studied at scale. There are however a wide range of challenges in analyzing human behavior in social networks. Behavior analysis in online social networks spans a number of disciplines, across numerous fields in and beyond computer science. For example, one would have to involve social network analysis, an area in social science, to analyze social relationships, how they evolve and mature over time. The results of behavior analysis have important implications on community discovery, anomaly detection, and trend prediction, and they can enhance applications in multiple domains such as information retrieval, recommendation systems, and trust and security. Research in behavior analysis is a fertile ground also for businesses and IT industry, as they develop innovative ideas fostering the design of the new generation of social network platforms and their services. 2016-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3622 info:doi/10.1016/j.neucom.2016.06.008 https://ink.library.smu.edu.sg/context/sis_research/article/4623/viewcontent/BehaviorAnalysisSocialNetworks_ed_2016.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Social media social networks analyzing human behavior MITB student Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Social media
social networks
analyzing human behavior
MITB student
Computer Sciences
Databases and Information Systems
spellingShingle Social media
social networks
analyzing human behavior
MITB student
Computer Sciences
Databases and Information Systems
WANG, Meng
Ee-peng LIM,
LI, Lei
ORGUN, Mehmet
Behavior analysis in social networks: Challenges, technologies, and trends
description The research on social networks has advanced significantly, which can be attributed to the prevalence of the online social websites and instant messaging systems as well as the popularity of mobile apps that support easy access to online social networks. These social networks are usually characterized by the complex network structures and rich contextual information. They now become the key platforms for, among others, content dissemination, professional networking, recommendation, alerting, and political campaigns. As online social network users perform activities on the social networks, they leave data traces of human behavior which allow the latter to be studied at scale. There are however a wide range of challenges in analyzing human behavior in social networks. Behavior analysis in online social networks spans a number of disciplines, across numerous fields in and beyond computer science. For example, one would have to involve social network analysis, an area in social science, to analyze social relationships, how they evolve and mature over time. The results of behavior analysis have important implications on community discovery, anomaly detection, and trend prediction, and they can enhance applications in multiple domains such as information retrieval, recommendation systems, and trust and security. Research in behavior analysis is a fertile ground also for businesses and IT industry, as they develop innovative ideas fostering the design of the new generation of social network platforms and their services.
format text
author WANG, Meng
Ee-peng LIM,
LI, Lei
ORGUN, Mehmet
author_facet WANG, Meng
Ee-peng LIM,
LI, Lei
ORGUN, Mehmet
author_sort WANG, Meng
title Behavior analysis in social networks: Challenges, technologies, and trends
title_short Behavior analysis in social networks: Challenges, technologies, and trends
title_full Behavior analysis in social networks: Challenges, technologies, and trends
title_fullStr Behavior analysis in social networks: Challenges, technologies, and trends
title_full_unstemmed Behavior analysis in social networks: Challenges, technologies, and trends
title_sort behavior analysis in social networks: challenges, technologies, and trends
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/sis_research/3622
https://ink.library.smu.edu.sg/context/sis_research/article/4623/viewcontent/BehaviorAnalysisSocialNetworks_ed_2016.pdf
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