Use features like bookmarks, note taking and highlighting while reading social media mining. He was named a fellow of the institute of electrical and electronics engineers ieee in 2012 for his contributions to feature selection in data mining and knowledge discovery. Justin sampson, fred morstatter, liang wu, and huan liu. Social media mining uses a range of basic concepts from computer science, data mining, machine learning and statistics. Community detection and mining in social media by lei tang. Feifei li among six chinese scholars named acm 2018 fellows. Data mining techniques provide researchers and practitioners the tools needed to analyze large, complex, and frequently changing social media data. Justin sampson, ms, spring 2016, assessing veracity in streaming social media data for crisis response. Social media mining introduces and connects underlying concepts with clarity and enables you to explore this amazing field further with confidence. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Huan liu is a professor of computer science and engineering at arizona state.
We also demonstrate how discovered patterns of communities can be used for social media mining. Reza zafarani, mohammad ali abbasi, huan liu social media mining. An introduction reza zafarani, mohammad ali abbasi, huan liu the growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Pdf liang wu, fred morstatter, xia hu, huan liu, mining misinformation in social media, big data in complex and social networks, crc press, 2016. Therefore, fake news detection on social me dia has recently become an emerging research that is attracting tremendous attention. In proceedings of the ieee international conference on data mining icdm 2014. Buy huan liu ebooks to read online or download in pdf or epub on your pc, tablet or mobile device. With the increasing prevalence of social media networks, signed network analysis has evolved from developing and measuring theories to mining tasks. Huan liu phoenix, arizona area professional profile. Philip yu, university of illinois, chicago this is an exceptionally wellconstructed book on social media that will be useful to academia and industry alike. Memes extracted from social media streams connected to known russian propaganda outlets simple script to launch bot intimidation attack against journalist bots red manipulating narrative and network in the 2018 swedish. This is an exceptionally wellconstructed book on social media that.
An introduction kindle edition by reza zafarani, mohammad ali abbasi, huan liu. Huan liu is a professor of computer science and engineering with the school of computing, informatics, decision systems engineering in the ira a. Community detection and mining in social media synthesis. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research. Huan liu, professor computer science and engineering. Mining social media has its potential to extract actionable patterns.
An introduction ebook written by reza zafarani, mohammad ali abbasi, huan liu. Huan liu, fred morstatter, jiliang tang, and reza zafarani. Aggawal, springer, bostondordrechtlondon, pp 327 352. Can ai help discern fact from fake on social media. Social media mining is based on theories and methodologies from social network.
Mining in social media huan liu and economics, politics, social scientific research, religious beliefs, fictions, and many other publications are provided. It introduces the unique problems arising from social. Social media mining is the process of obtaining big data from usergenerated content on social media sites and mobile apps in order to extract patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research the term is an analogy to the resource extraction process of mining for rare minerals. Professor of computer science and engineering at arizona state university huan lius contributions include feature selection and feature engineering in social media. A rapid increase of social media services in recent years has enabled people to share and seek information effectively. School of computing, informatics, and decision systems engineering. His research interests are in data mining, machine learning, social computing, artificial intelligence and investigating interdisciplinary problems in dataintensive applications. Liang wu, huan liu, detecting crowdturfing in social media, encyclopedia of social network analysis and mining, springer, 2016. Harsh dani, ms, january 2017, sentiment informed cyberbullying detection in social media. On the other hand, it enables the wide spread of fake news, i. Social media mining integrates social media, social network analysis.
Social media mining ofer abarbanel data april 18, 2020. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. Social spammer detection with sentiment information. Reza is the principal author of social media mining. Mining human mobility in locationbased social networks jul 30, 2015. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis. Social media for news consumption is a doubleedged sword. An introduction kindle edition by zafarani, reza, abbasi, mohammad ali, liu, huan. This book is an accessible introduction to the study of emphcommunity detection and mining in social media. The extensive spread of fake news has the potential for extremely.
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Machine learning with graphs, stanford university, fall 2019. The openness, however, also makes them one of the most effective channels for misinformation. Social media mining, an introduction by reza zafarani, mohammad ali abbasi, and huan liu. Huan liu is a computer scientist at arizona state university in tempe, arizona. This course looks at social networks and markets through the eyes of a computer scientist. Kai shu is a phd student at asus department of computer science and engineering. Mining treasure in user data understanding social media. Uncovering novel research opportunities in social media mining, journal of data science and analytics, 2016. His research is focused on evaluating user credibility in social media and using social media for humanitarian assistance and disaster relief. Huan lius graduate students in feature selection, social. His research interests are in data mining, machine learning, social computing, and artificial intelligence.
We will look at questions including, why are acquaintances rather than friends more likely to get us job opportunities. A survey of signed network mining in social media acm. Social media mining is the process of obtaining big data from usergenerated content on social. Social media mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. Davide mottin and konstantina lazaridou, graph mining, hasso plattner institute, winter 2016. Fake news detection on social me dia presents unique characteristics and challenges that make existing detection algorithms from traditional news media ine ective or not applicable. Data mining in social media in social network data analytics, editor. Tutorial on community detection and behavior study for social computing. Conference on advances in social networks analysis and mining asonam. It introduces the unique problems arising from social media data. Influence on social media supported by onr david beskow casos center. Huan liu is a professor of computer science and engineering. Lius research focuses on feature selection and social computing, developing computational methods that deal with massive or highdimensional data web, text. He serves on journal editorial boards and numerous conference program.
How community detection and mining in social media huan liu, many people also need to. These publications are readily available in software documents. An introduction, a textbook by cambridge university press and the associate editor for sigkdd explorations and frontiers in communication. Litao liu, zhi cao, xiaojie liu, lei shi, shengkui cheng, gang liu. Social media mining, an introduction by reza zafarani, mohammad ali abbasi, and huan liu arizona state university.
He also works as a research assistant at the data mining and machine learning lab dmml. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining faces novel challenges due to the distinct. Social media mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. Professor of computer science and engineering, arizona state university. Relational learning via latent social dimensions arizona. Kewei cheng, ms, february 2017, mining signed social networks using unsupervised learning algorithms. Tutorial on community detection and behavior study for social. Huan liu department of computer science and engineering. To summarize, these components describe a typical process of userassisted data mining and provides a picture of how users interact with data mining systems. Save up to 80% by choosing the etextbook option for isbn. He is the winner of the presidents award for innovation and outstanding teaching award at arizona state university. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. Kai shu, deepak mahudeswaran, suhang wang, and huan liu.
Social media provides easily an accessible platform for users to share information. His research interests are in data mining, machine learning and fake news detection. Social media mining, arizona state university, fall 2018. View huan lius profile on linkedin, the worlds largest professional community. Huan liu is a professor of computer science and engineering at arizona state university where he has been recognized for excellence in teaching and research. Huan liu is a professor of computer science and engineering at arizona state university where he has been recognized for.
Social media mining integrates social media, social network analysis, and data mining to enable students, practitioners, researchers, and managers to understand the basics and potentials of this field. His research interests are in data mining, machine learning. Download for offline reading, highlight, bookmark or take notes while you read social media mining. This cited by count includes citations to the following articles in scholar. This book takes a data mining perspective to offer an overview of studying human mobility in locationbased social networks lbsn and illuminate a wide range of related computational tasks. Download it once and read it on your kindle device, pc, phones or tablets.
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