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Towards NoSQL Graph Data Warehouse for Big Social Data Analysis
[chapter]
2017
Advances in Intelligent Systems and Computing
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The paper will also focus on the opportunities and challenges of using NoSQL graph databases for storing and querying Big Social Data and how graph theory can help to mine information from these data warehouses ...
Big Data generated from social networking sites is the crude oil of this century. ...
Although NoSQL graph databases have been recently introduced, the interest towards graphs is not new. ...
doi:10.1007/978-3-319-53480-0_95
fatcat:ydhgizxdxngprd3dglapiskmpa
DB2SNA: An All-in-One Tool for Extraction and Aggregation of Underlying Social Networks from Relational Databases
[chapter]
2012
Lecture Notes in Social Networks
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In this chapter, we propose a heterogeneous object graph extraction approach from a relational database and we present its application to extract social network. ...
The existing approaches focus on social networks extraction using web document. However a considerable amount of information is stored in relational databases. ...
Acknowledgments This work is partially financed by the ARSA project (Social Networks Analysis for Public Administrations) and by the STIC INRIA-Tunisia project "Social network exploration for recommender ...
doi:10.1007/978-3-7091-1346-2_23
dblp:series/lnsn/SoussiCALL13
fatcat:zhpitabhzfcwnpjg52dqn5ux3i
Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach
2016
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
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Fig. 1 . 1 Conceptual Graph Data Model Maximal Directed Ego Network: We extracted the maximal directed ego network of scientist who are mentioned in a blogs or a news. ...
We extracted only weblogs and mainstream news using Java Spinn3r API 2 and the collected data are stored 1 http://spinn3r.com/ 2 http://www.programmableweb.com/api/spinn3r in a MongoDb 3 database which ...
doi:10.1109/asonam.2016.7752425
dblp:conf/asunam/TimilsinaDTH16
fatcat:nyqos7vjcfeqlbic25aycfqwnq
Online social network profile data extraction for vulnerability analysis
2011
International Journal of Internet Technology and Secured Transactions
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These results provide a good foundation for future work on online vulnerability in online social networks (OSNs). ...
An online social network graph was generated from the repository data where nodes represent peoples' profiles. Analysis was carried out into what factors affect node vulnerability. ...
Table 1 illustrates some of the data extraction techniques used to extract attributes from online social networking profiles. ...
doi:10.1504/ijitst.2011.039778
fatcat:ilnlskchszc2rfbuy6x6xyurzu
Crawling political communities in Twitter and extracting political affiliations
[article]
2021
arXiv
pre-print
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The proposed crawl method can extract community structures without needing a complete network graph for the Twitter network and validate its size using "reference score". ...
Once the communities are crawled, and the network graph is clean and complete; it is then possible to train Machine Learning classifiers using communities as features to predict political affiliations ...
One of the major problems of using the network topology of social networks for answering sociological questions is that sampling methods for large network graphs is still an open question (Krishnamurthy ...
arXiv:2102.00849v1
fatcat:v2ufdnanmbdfzecofdvjvhtmvq
Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media
2020
2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
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With the multi-faceted global challenges posed by the COVID-19 pandemic, this research focused on the use of a semantic knowledge graph to model, structure and store COVID-related news articles centrally ...
The semantic knowledge graph provides a platform for researchers, data analysts and data scientists across societal sectors to investigate and recommend strategies towards addressing the challenges it ...
A renowned example of graph database is Neo4j which is open source and offers native graph storage. ...
doi:10.1109/snams52053.2020.9336541
fatcat:kpqbkibyxnfirj64sumii7j4em
Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India
2012
International Journal of Computer Applications
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Data mining techniques and social network analysis can be used to extract and study these collaborations. ...
We construct and visualize scientific co-authorship social network graphs of these institutions. ...
of the co-authorship graphs that we have obtained by using NodeXL template for social network graph extraction and visualization. ...
doi:10.5120/8257-1790
fatcat:5txlc3rqjfhcdaxo3qdmkpgbuu
Towards persuasive social recommendation
2015
ACM SIGAPP Applied Computing Review
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In this paper, we show how we have used a graph-based model to extract and model data and transform it in valuable knowledge to develop a persuasive social recommendation system 1 . ...
These data are distributed across di↵erent sources of information (social networks, blogs, databases, etc.) that may contain inconsistencies and their accuracy is uncertain. ...
Following this approach, in this paper we propose the employment of graph databases as a knowledge model to integrate domain-specific and social data obtained from social networks, and use it to perform ...
doi:10.1145/2815169.2815173
fatcat:hca3ggmahvcplmx73hd7m3uqlm
Prediction of Collective Behavior in Live Social Media
2014
International Journal of Computer Applications
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Therefore our proposed system is going to show the behavior of the social networking user by extracting the online social networking data. ...
Now a day's social networking site performs more important activity for businesses or social work. ...
Node Graph Creation The extracted data from social Networking site (i.e. Facebook) can be stored in any application database. This data is used for further application. ...
doi:10.5120/16692-6816
fatcat:nhopr6e665dntafp5s26pgdj2q
Friendbook: Semantic Based Friendship
2017
International Journal for Research in Applied Science and Engineering Technology
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Now a day's friend recommendation has a greater impact on social networking. Friend recommendation based on social graph may not be most relevant to reflect user's expectation on friend selection. ...
Using Text mining daily activities of user's are modelled as life document. ...
INTRODUCTION A Nowadays, social networking sites are drastically growing area which attracts users attention towards itself. ...
doi:10.22214/ijraset.2017.3121
fatcat:wf3fcwefmbhi3enahumwaiy7cq
Cobwebs from the Past and Present
2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16
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The World Wide Web provides a huge amount of continuously updated data and information on a wide range of topics created by a variety of content providers, and makes the study of extracted people networks ...
We describe methods for constructing large social graphs from extracted relations and introduce an interface to study their temporal evolution. ...
DISCUSSION In this paper we introduced a demonstration of SocGraph -a social graph extracting system for large networks from Internet Archive data. ...
doi:10.1145/2911451.2911467
dblp:conf/sigir/ShaltevZKSZ16
fatcat:rwyfpfh6i5eoflwuzfq3mvesey
On the Extraction and Analysis of a Social Network with Partial Organizational Observation
2012
2012 IEEE 19th International Conference and Workshops on Engineering of Computer-Based Systems
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This paper describes a transformation based approach to the extraction of a social network graph, where the original data comprising (partial) observation of the organization are embedded on a graph with ...
, based on established social network graph metrics. ...
Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s), and do not necessarily reflect the views of the G9 Prototype or the US Army Intelligence ...
doi:10.1109/ecbs.2012.33
dblp:conf/ecbs/WhitsittGCSRSR12
fatcat:2pzkda53f5cmvnqiowiddhwzs4
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
2009
2009 International Conference on Advances in Social Network Analysis and Mining
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Besides we use some data mining techniques applied on social network representations in order to enrich this new point of view and to evolve our methodology towards a comprehensive local and global bibliography ...
Digital Bibliographies have been used as basis of many studies focused on the knowledge extraction in databases. Here we present a new methodology for mining knowledge in this field. ...
The first step of the solution is to consider the unconnected social network as a graph dataset in which every component is an entry of the database. ...
doi:10.1109/asonam.2009.65
dblp:conf/asunam/CosciaGP09
fatcat:heu5ijgqxnfytnoom4ntj6jzne
A Survey on Graph Database Management Techniques for Huge Unstructured Data
2018
International Journal of Electrical and Computer Engineering (IJECE)
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Use of graph database is expected to be beneficial in business, and social networking sites that generate huge unstructured data as that Big Data requires proper and efficient computational techniques ...
Data analysis, data management, and big data play a major role in both social and business perspective, in the last decade. Nowadays, the graph database is the hottest and trending research topic. ...
Achieves faster performance
Soussi [43]
Social Network Extraction
Graph Database
Achieves better extraction
Yar and Tun ...
doi:10.11591/ijece.v8i2.pp1140-1149
fatcat:gves26azifhrtc5mzkrajlxk34
Graph Data: The Next Frontier in Big Data Modeling for Various Domains
2017
Indian Journal of Science and Technology
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chemical structure, gene data, network structure, social network, e-commerce to text data. ...
The prime objective of this research is to reveal graph database as an alternative of traditional relation database in the field of database. ...
The literature introduces a time-varying social network data model 18 using property graph and Neo4j graph database management framework. ...
doi:10.17485/ijst/2017/v10i21/112828
fatcat:7qprb6pdxrc3hpv4sk3olu4kmi
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