2017
DOI: 10.1002/widm.1203
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Positive and negative behavioral analysis in social networks

Abstract: Use of online social networks has grown dramatically since the first Web 2.0 technologies were deployed in the early 2000s. Our ability to capture user data, in particular behavioral data has grown in concert with increased use of these social systems. In this study, we survey methods for modeling and analyzing online user behavior. We focus on negative behaviors (social spamming and cyberbullying) and mitigation techniques for these behaviors. We also provide information on the interplay between privacy and d… Show more

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Cited by 5 publications
(3 citation statements)
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References 92 publications
(134 reference statements)
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“…The most frequently cited academic articles and research summaries tend to focus on consumption theories [1], Internet studies [2] and impression management [3]. Moreover, the numbers of published behavioural analyses [4] and social media storytelling papers [5] have been increasing for a decade.…”
Section: Introductionmentioning
confidence: 99%
“…The most frequently cited academic articles and research summaries tend to focus on consumption theories [1], Internet studies [2] and impression management [3]. Moreover, the numbers of published behavioural analyses [4] and social media storytelling papers [5] have been increasing for a decade.…”
Section: Introductionmentioning
confidence: 99%
“…The Social Network Analysis (SNA) is the branch of sociology, which studies the structure of the social network and relationship among the social system using mathematics to extract some interesting patterns out of the analysis [7]. Many researchers performed SNA on various social networking sites to identify the influential persons for target marketing, but failed to make 360-degree profiling of the users [8][9][10][11][12]. Hence, this work aims to mine the Twitter data to get 360-degree profiling of users, which may help the business organizations to identify the influential persons and increase the efficiency of marketing campaigns.…”
Section: Introductionmentioning
confidence: 99%
“…The high usage of social networks provides a good opportunity for social network analysis. There are many different research directions in social network analysis, including information diffusion [1][2][3], community detection [4][5][6][7], link prediction [8][9][10] and behaviour analysis [11,12].…”
Section: Introductionmentioning
confidence: 99%