A survey of Big Data dimensions vs Social Networks analysis

被引：21
|
作者：
Ianni, Michele [1 ]
Masciari, Elio [2 ]
Sperli, Giancarlo [2 ]
机构：
[1] Univ Calabria, Dept Informat Modeling Elect & Syst, I-87036 Arcavacata Di Rende, CS, Italy
[2] Univ Naples Federico II, Dept Elect & Informat Technol DIETI, Via Claudio 21, I-80125 Naples, Italy
来源：
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS | 2021年 / 57卷 / 01期
关键词：
Big Data; Social Network; Centrality measure; Fake news; COMMUNITY STRUCTURE; CENTRALITY MEASURES; FAKE NEWS; BENCHMARKING; PROPAGATION; VARIABILITY; COMPUTATION; PREDICTION; DIFFUSION; ANALYTICS;
D O I：
10.1007/s10844-020-00629-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of heterogeneous data. Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large amount of user-generated data (text, video, image and audio), data heterogeneity and high speed generation rate. More in detail, the analysis of user generated data by popular social networks (i.e Facebook (https://www.facebook.com/), Twitter (https://www.twitter.com/), Instagram (https://www. instagram.com/), LinkedIn (https://www.linkedin.com/)) poses quite intriguing challenges for both research and industry communities in the task of analyzing user behavior, user interactions, link evolution, opinion spreading and several other important aspects. This survey will focus on the analyses performed in last two decades on these kind of data w.r.t. the dimensions defined for Big Data paradigm (the so called Big Data 6 V's).
引用
收藏
页码：73 / 100
页数：28
相关论文
共 50 条
  • [1] A survey of Big Data dimensions vs Social Networks analysis
    Michele Ianni
    Elio Masciari
    Giancarlo Sperlí
    [J]. Journal of Intelligent Information Systems, 2021, 57 : 73 - 100
  • [2] Localization Based on Social Big Data Analysis in the Vehicular Networks
    Lin, Kai
    Luo, Jiming
    Hu, Long
    Hossain, M. Shamim
    Ghoneim, Ahmed
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (04) : 1932 - 1940
  • [3] A Survey on Semantic Web and Big Data Technologies for Social Network Analysis
    Kulcu, Sercan
    Dogdu, Erdogan
    Ozbayoglu, A. Mural
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2016, : 1768 - 1777
  • [4] Arguments and Interpretation in Big Social Data Analysis: A Survey of the ASONAM Community
    Lanius, Candice L.
    [J]. PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016, 2016, : 1364 - 1367
  • [5] Analysis of Dengue Outbreaks Using Big Data Analytics and Social Networks
    Carlos, Marcelo Aparecido
    Nogueira, Marcelo
    Machado, Ricardo J.
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 1592 - 1597
  • [6] Online Creativity Modeling and Analysis Based on Big Data of Social Networks
    Ivaschenko, Anton
    Khorina, Anastasia
    Sitnikov, Pavel
    [J]. INTELLIGENT COMPUTING, VOL 1, 2019, 858 : 329 - 337
  • [7] Toward a Big Data-as-a-Service for Social Networks Graphs Analysis
    Yousfi, Siham
    Chiadmi, Dalila
    Nafis, Fouad
    [J]. PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015 (MEDCT 2015), VOL 2, 2016, 381 : 593 - 598
  • [8] Big Data Analysis in Social Networks for Managing Risks in Clothing Industry
    Blekanov, Ivan
    Krylatov, Alexander
    Ivanov, Dmitri
    Bubnova, Yulia
    [J]. IFAC PAPERSONLINE, 2019, 52 (13): : 1710 - 1714
  • [9] Social media big data analytics: A survey
    Ghani, Norjihan Abdul
    Hamid, Suraya
    Hashem, Ibrahim Abaker Targio
    Ahmed, Ejaz
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2019, 101 : 417 - 428
  • [10] A taxonomy and survey of big data in social media
    Hemmati, Atefeh
    Arzanagh, Hanieh Mohammadi
    Rahmani, Amir Masoud
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (01):
12345