1
May 2013
HT '13: Proceedings of the 24th ACM Conference on Hypertext and Social Media
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 6, Downloads (12 Months): 49, Downloads (Overall): 219
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With the development of social media tools such as Facebook and Twitter, mainstream media organizations including newspapers and TV media have played an active role in engaging with their audience and strengthening their influence on the recently emerged platforms. In this paper, we analyze the behavior of mainstream media on ...
Keywords:
social media analysis
Keywords:
social media analysis
2
October 2012
DUBMMSM '12: Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 9, Downloads (12 Months): 49, Downloads (Overall): 420
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Since social media users have various purposes such as tightening friendship and obtaining information, it might be easier to model a user's interest and to provide personalized information if the user's purpose can be inferred. In this paper, we analyze the friendship of Twitter users and its effects on Twitter ...
Keywords:
twitter, friendship, social media analysis
Keywords:
social media analysis
Full Text:
... Applications]: Miscella-neous; H.1.2 [MODELS AND PRINCIPLES]: User/Machine Systems?Human information processingKeywordsTwitter, Social Media Analysis, , Friendship1. INTRODUCTIONSince social media is the most popular social ...
3
August 2015
KDD '15: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 16, Downloads (12 Months): 210, Downloads (Overall): 664
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Anomaly detection is of critical importance to prevent malicious activities such as bullying, terrorist attack planning, and fraud information dissemination. With the recent popularity of social media, new types of anomalous behaviors arise, causing concerns from various parties. While a large body of work haven been dedicated to traditional anomaly ...
Keywords:
social media analysis, anomaly detection
Keywords:
social media analysis
References:
Q. Yu, X. He, and Y. Liu. GLAD: Group anomaly detection in social media analysis. In Proceedings of KDD'14, Pages 372--381, 2014.
Full Text:
... Yu, X. He, and Y. Liu. GLAD: Group anomalydetection in social media analysis. . In Proceedings ofKDD ?14, Pages 372-381, 2014.[12] H. Tong, ...
4
May 2017
CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15, Downloads (12 Months): 63, Downloads (Overall): 63
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As human beings utilize computing technologies to mediate multiple aspects of their lives, cyberbullying has grown as an important societal challenge. Cyberbullying may lead to deep psychiatric and emotional disorders for those affected. Hence, there is an urgent need to devise automated methods for cyberbullying detection and prevention. While recent ...
Keywords:
social media analysis, cyberbullying detection
Keywords:
social media analysis
5
April 2017
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7, Downloads (12 Months): 23, Downloads (Overall): 23
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Social media response to catastrophic events, such as natural disasters or terrorist attacks, has received a lot of attention. However, social media are also extremely important in the context of planned events, such as fairs, exhibits, festivals, as they play an essential role in communicating them to fans, interest groups, ...
Keywords:
live events, social media analysis
Keywords:
social media analysis
6
June 2010
SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 162
Downloads (6 Weeks): 44, Downloads (12 Months): 460, Downloads (Overall): 4,543
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We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e. 'trends') on Twitter in real time and provides meaningful analytics that synthesize an accurate description of each topic. Users interact with the system by ordering the identified trends using different criteria ...
Keywords:
trend detection, social media analysis
Keywords:
social media analysis
7
February 2017
WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 42, Downloads (12 Months): 99, Downloads (Overall): 99
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Anomaly detection is of critical importance to prevent malicious activities such as bullying, terrorist attack planning, and fraud information dissemination. With the recent popularity of social media, new types of anomalous behaviors arise, causing concerns from various parties. While a large body of work haven been dedicated to traditional anomaly ...
Keywords:
social media analysis, anomaly detection
Keywords:
social media analysis
References:
Q. Yu, X. He, and Y. Liu. GLAD: Group anomaly detection in social media analysis. In Proceedings of KDD '14, Pages 372--381, 2014.
Full Text:
... Yu, X. He, and Y. Liu. GLAD: Group anomalydetection in social media analysis. . In Proceedings ofKDD ?14, Pages 372-381, 2014.[12] Rose Yu, ...
8
June 2016
DEBS '16: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1, Downloads (12 Months): 42, Downloads (Overall): 61
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Recent advances in social media have triggered a massive engagement of user population: a large part of people's lives has shifted to social media platforms and real events are reported while they are happening (e.g. in Twitter). As a result, such platforms have become an important source of information, being ...
Keywords:
realtime social media analysis, information diffusion
Keywords:
realtime social media analysis
9
November 2014
WISMM '14: Proceedings of the First International Workshop on Internet-Scale Multimedia Management
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2, Downloads (12 Months): 13, Downloads (Overall): 91
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It is frequently presumed that lovers of Classical music are not present in social media. In this paper, we investigate whether this statement can be empirically verified. To this end, we compare two social media platforms --- Last.fm and Twitter --- and perform a study on musical preference of their ...
Keywords:
music information retrieval, social media analysis
Keywords:
social media analysis
10
October 2012
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 9, Downloads (Overall): 186
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Massive amounts of data are being generated on social media sites, such as Twitter and Facebook. This data can be used to better understand people, such as their personality traits, perceptions, and preferences, and predict their behavior. This deeper understanding of users and their behaviors can benefit a wide range ...
Keywords:
data-driven, social media analysis, user modeling
Keywords:
social media analysis
Full Text:
... J.4 [Computer Application]: Social and Behavioral Sciences Keywords User Modeling, Social Media Analysis, , Data-driven. 1. INTRODUCTION People from all walks of life ...
... researchers and practitioners from diverse areas, such as user modeling, social media analysis, , natural language processing, data mining, machine learning, privacy and ...
11
March 2016
CODS '16: Proceedings of the 3rd IKDD Conference on Data Science, 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10, Downloads (12 Months): 74, Downloads (Overall): 95
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Citizens tend to discuss issues in public forums, social media, and web blogs. Given that issues related to public transportation are most actively reported across web-based sources, we present a holistic framework for collection, categorization, aggregation and visualization of urban public transportation issues. The primary challenges in deriving useful insights ...
Keywords:
social media analysis, Text processing, urban informatics
Keywords:
social media analysis
Full Text:
... with the largest transportation agency in Bangalore. Keywords Text processing, social media analysis, , urban informatics 1. INTRODUCTION Recently, the amount of discussions ...
... is to establish a trusted channel of communication through various social media analysis techniques, between the citizens and city administration, in order to ...
12
May 2017
NDA'17: Proceedings of the 2nd International Workshop on Network Data Analytics
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12, Downloads (12 Months): 21, Downloads (Overall): 21
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Cities today are typically plagued by multiple issues such as âĂŞ traffic jams, garbage, transit overload, public safety, drainage etc. Citizens today tend to discuss these issues in public forums, social media, web blogs, in a widespread manner. Given that issues related to public transportation are most actively reported across ...
Keywords:
Text processing, urban informatics, social media analysis
Keywords:
social media analysis
Full Text:
... being pi-loted with the largest transportation agency in Bangalore.KeywordsText processing, social media analysis, , urban informatics1. INTRODUCTIONRecent years have seen a surge in ...
... long-termobjective is to establish a trusted channel of communicationthrough various social media analysis techniques, betweenthe citizens and city administration, in order to realize ...
13
October 2011
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 5, Downloads (12 Months): 35, Downloads (Overall): 424
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In this paper, we deal with the problem of predicting how much attention a newly submitted post would receive from fellow community members of closed communities in social networking sites. Though the concept of attention is subjective, the number of comments received by a post serves as a very good ...
Keywords:
brand pages, popularity prediction, social media analysis
Keywords:
social media analysis
14
November 2014
DUBMOD '14: Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8, Downloads (12 Months): 60, Downloads (Overall): 161
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Pinterest is a website and mobile application that allows users to discover, save, and share content ('pins') across a wide range of interest areas. As the user base grows more diverse both demographically and psychographically, we wish to understand emerging patterns of behavior that reflect underlying differences in users' intent ...
Keywords:
machine learning, social media analysis, user modeling
Keywords:
social media analysis
Full Text:
... methodologies. General Terms Design, Experimentation, Human Factors Keywords Machine Learning; Social Media Analysis; ; User Modeling 1. INTRODUCTION Pinterest is a ?visual discovery ...
15
July 2014
SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7, Downloads (12 Months): 30, Downloads (Overall): 209
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The SoMeRA workshop targets cutting edge research from all fields of retrieval, recommendation, and browsing in social media, as well as the analysis of user's multifaceted traces therein. Submissions to the workshop cover a broad range of topics including multimedia retrieval and exploration, user-aware recommender systems, network analysis, event detection, ...
Keywords:
social media analysis, social media retrieval
Keywords:
social media analysis
Full Text:
... by theauthor/owner(s).SIGIR?14, July 6?11, 2014, Gold Coast, Queensland, Australia.ACM 978-1-4503-2257-7/14/07.http://dx.doi.org/10.1145/2600428.2600739.of social media analysis and -mining [1, 3]. Correspondinguser models which are built from ...
16
July 2014
SoMeRA '14: Proceedings of the first international workshop on Social media retrieval and analysis
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1, Downloads (12 Months): 33, Downloads (Overall): 170
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We examine the use of clustering to identify selfies in a social media user's photos. Faces are first detected within a user's photos followed by clustering using visual similarity. We define a cluster scoring scheme that uses a combination of within-cluster visual similarity and average face size in a cluster ...
Keywords:
selfies, twitter, instagram, photos, social media analysis
Keywords:
social media analysis
Full Text:
... H.3.3 [Information Search and Retrieval]: Clustering, Retrieval Keywords Selfies, Photos, Social Media Analysis, , Instagram, Twitter 1. INTRODUCTION Microblog platforms such as Twitter ...
17
November 2014
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5, Downloads (12 Months): 27, Downloads (Overall): 113
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Massive amounts of data are being generated on social media sites, such as Twitter and Facebook. These data can be used to better understand people (e.g., personality traits, perceptions, and preferences) and predict their behavior. As a result, a deeper understanding of users and their behavior can benefit a wide ...
Keywords:
social media analysis, user modeling, data-driven
Keywords:
social media analysis
Full Text:
... Behavioral Sciences General Terms Algorithms, Design, Experimentation. Keywords User Modeling; Social Media Analysis; ; Data-driven. 1. INTRODUCTION People from all walks of life ...
... researchers and practitioners from diverse areas, such as user modeling, social media analysis, , natural language processing, da ta mining, machine learning, privacy ...
18
October 2013
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 20, Downloads (Overall): 168
Full text available:
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Massive amounts of data are being generated on social media sites, such as Twitter and Facebook. These data can be used to better understand people (e.g., personality traits, perceptions, and preferences) and predict their behavior. As a result, a deeper understanding of users and their behavior can benefit a wide ...
Keywords:
data-driven., social media analysis, user modeling
Keywords:
social media analysis
Full Text:
... J.4 [Computer Application]: Social and Behavioral Sciences Keywords User Modeling, Social Media Analysis, , Data-driven. 1. INTRODUCTION People from all walks of life ...
... researchers and practitioners from diverse areas, such as user modeling, social media analysis, , natural language processing, data mining, machine learning, privacy and ...
19
Yasunobu Sumikawa, Adam Jatowt, Marten Düring
June 2017
WebSci '17: Proceedings of the 2017 ACM on Web Science Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3, Downloads (12 Months): 3, Downloads (Overall): 3
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Having good knowledge and comprehension of history is believed to be important for a variety of reasons. In this paper we report the initial results of a large scale exploratory analysis of history-focused references in microblogs based on 11-months long snapshot of Twitter data. The results of this study can ...
Keywords:
collective memory, social media analysis, twitter, history
Keywords:
social media analysis
20
November 2016
MOBIQUITOUS 2016: Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4, Downloads (12 Months): 30, Downloads (Overall): 30
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What is the difference between the local news and the general news? Due to a huge number of online news articles published on the Web, it has become quite important to recommend appropriate articles to users. Locality of an article is one of the important features to judge whether it ...
Keywords:
microblog, Online news, Twitter, social media analysis
Keywords:
social media analysis
