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Social Network Analysis and Mining

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01.12.2022 | Review Paper

Getting decision support from context-specific online social networks: a case study

verfasst von: Manuela Freire, Francisco Antunes, João Paulo Costa

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2022

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Abstract

The combination between online social networks (OSN) and decision processes provides a favorable social data analysis paradigm for efficient decision support and business-processes integration. This paper presents a framework for handling OSN’s contents, providing a simpler and effective approach for information retrieval and processing. The objective is to address a decision-making problem, by using that framework to extract, process, structure and analyze the OSN’s data. The decision process is not only guided by OSN data, but also by social network analysis methodology and is entirely based on the communications among social media users. Our framework combines two different, though complementary, perspectives: the analysis of the interactions among users and the semantic analysis of their discourses. In addition, it aims to bridge technology and manual-based approaches, thus enhancing the possibilities for making a better use of an OSN, using free-available software. The case study, herein, aims to estimate customers’ requests, solely based on their Facebook posts, showing that the unstructured data of the web’s discourse can be used to support this kind of decision processes.

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Abulaish M, Kamal A, Zaki MJ (2020) A survey of figurative language and its computational detection in online social networks. ACM Trans Web 14(1):Article 3

Adib SA, Mahanti A, Naha R (2021) Characterisation and comparative analysis of thematic video portals. Technol Soc 67:121–136

Adikari A, Gamage G, de Silva D, Mills N, Wong S-MJ, Alahakoon D (2021) A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web. Futur Gener Comput Syst 116(2021):302–315

Aggarwal CC (2011) Social network data analytics. Springer, New YorkMATH

Akar E, Dalgic T (2018) Understanding online consumers’ purchase intentions: a contribution from social network theory. Behav Inf Technol 37(5):473–487

Aladwani AM (2014) The 6As model of social content management. Int J Inf Manage 34(2):133–138

Alhajj R, Rokne J (2018) Encyclopedia of social network analysis and mining. Springer, New YorkMATH

Alhalabi W, Jussila J, Jambi K, Visvizi A, Qureshi H, Lytras M, Malibari A, Adham RS (2021) Social mining for terroristic behavior detection through Arabic tweets characterization. Futur Gener Comput Syst 116(2021):132–144

Alkhyeli M, Mansour A (2015) Using social media for supporting decision-making in managing public relations: the case of Abu Dhabi Police. In: ECSM 2015 2nd European conference on social media. academic conferences and Publishing International, Porto, pp 479–487

Antunes F, Costa JP (2011) Decision support social network conference in information systems and technologies (CISTI). Chaves, Portugal June 15–18

Antunes F, Freire M, Costa JP (2014) Semantic web tools and decision-making (152). In: Zaraté P, Kersten GE, Hernández JE (eds) Group decision and negotiation: a process-oriented view, Lecture Notes in Business Information Processing (LNBIP). Springer, New York, pp 270–277

Appel AP, Santana VFd, Moyano LG, Ito M, Pinhanez CS (2018) A social network analysis framework for modeling health insurance claims data, computer science. Social and Information Networks. arXiv Cornell University. https://arxiv.org/abs/1802.07116

Arafeh M, Ceravolo P, Mourad A, Damiani E, Emanuele B (2021) Ontology based recommender system using social network data. Futur Gener Comput Syst 115(2021):769–779

Arif T (2015) The mathematics of social network analysis: metrics for academic social networks. Int J Comput Appl Technol Res 4(12):889–893

Banerjee S, Jenamani M, Pratihar DK (2017) Properties of a projected network of a bipartite network. In: International conference on communication and signal processing (ICCSP), Chennai, India April 6–8

Banerjee S, Ramanathan K, Gupta A (2007) Clustering short texts using wikipedia. In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval. ACM, USA, pp 787–788

Banica L, Brinzea VM, Radulescu M (2015) Analyzing social networks from the perspective of marketing decisions. Sci Bull Econ Sci 14:37–50

Bapna R, Ramaprasad J, Umyarov A (2018) Monetizing freemium communities: does paying for premium increase social engagement? MIS Q Manag Inf Syst 42(3):719–736

Batagelj V, Doreian P, Ferligoj A, Kejzar A (2014) Understanding large temporal networks and spatial networks: exploration, pattern searching, visualization and network evolution. Wiley, New York

Biswas S, Bordoloi M, Shreya J (2018) A graph based keyword extraction model using collective node weight. Expert Syst Appl 97(2018):51–59

Bouet M, Gançarski P, Aufaure MA, Boussaid O (2009) Pattern mining and clustering on image databases. In: Erickson J (ed) Database technologies: concepts, methodologies, tools, and applications. IGI Global, USA, pp 60–85

Caroleo B, Tosatto A, Osella M (2015) Making sense of governmental activities over social media: a data-driven approach. In: Delibasié B, Hernández JE, Papathanasiou J, Dargam F, Zaraté P, Ribeiro R, Liu S, Linden I (eds) Decision support systems V—big data analytics for decision making. Springer, Serbia, pp 34–45

Chan M, Gong M, Naha R, Mahanti A (2020) Piracy on the internet: publisher-side analysis on file hosting services. In: International symposium on networks, computers and communications (ISNCC), pp 1–7

Chatterjee A, Trumbo BE (2018) Univariate descriptive statistics. In: Alhajj R, Rokne J (eds) Encyclopedia of social network analysis and mining. Springer, New York, pp 3252–3272

Chester S, Kapron BM, Srivastava G, Srinivasan V, Thomo A (2018) Anonymization and de-anonymization of social network data. In: Alhajj R, Rokne J (eds) Encyclopedia of social network analysis and mining, 2nd edn. Springer, New York, pp 78–86

Chua CEH, Storey VC, Li X, Kaul M (2019) Developing insights from social media using semantic lexical chains to mine short text structures. Decis Support Syst 127:1–10

Davis A (2019) Data Wrangling with JavaScript. Manning Publications Company, New York

Duari S, Bhatnagar V (2020) Complex network based supervised keyword extractor. Expert Syst Appl 140:1–14

Erétéo G, Limpens F, Gandon F, Corby O, Buffa M, Leitzelman M, Sander P (2011) Semantic social network analysis: a concrete case. In: Daniel BK (ed) handbook of research on methods and techniques for studying virtual communities: paradigms and phenomena. IGI Global, USA, pp 122–138

Fernando G, MdJohar M, MdJohar M (2015) Framework for social network data mining. Int J Comput Appl Technol Res 116(18):7–10

Freire M, Antunes F, Costa JP (2015) Exploring social network analysis techniques on decision support. In: ECSM 2015 2nd European conference on social media. Porto, pp 165–173

Freire M, Antunes F, Costa JP (2017) A semantics extraction framework for decision support in context-specific social web networks. In: Linden I, Liu S, Colot C (eds) Decision support systems VII data, information and knowledge visualization in decision support systems. Springer, Switzerland, pp 133–147

Fu X, Luo J-D, Boos M (2017) Social network analysis: interdisciplinary approaches and case studies. Taylor & Francis Group, London

Gaeta R (2018) A model of information diffusion in interconnected online social networks. ACM Trans Web 12(2):Article 13

Ghafoor F, Niazi MA (2016) Using social network analysis of human aspects for online social network software: a design methodology. Complex Adapt Syst Model 4(14):1–19

Ghim G-H, Kim K, Ko Y, Bae S, Choi W (2018) NetMiner. In: Alhajj R, Rokne J (eds) Encyclopedia of social network analysis and mining, 2nd edn. Springer, New York, pp 1450–1474

Gjoka M, Kurant M, Butts CT, Markopoulou A (2011) A walk in Facebook: uniform sampling of users in online social networks. In: IEEE INFOCOM (2010). IEEE journal on selected areas in communications (JSAC), San Diego, pp 1–9

Golbeck J (2015) Introduction to social media investigation: a hands-on approach. Elsevier, New York

Hanneman RA, Riddle M (2005) Introduction to social network methods. 2005. http://faculty.ucr.edu/~hanneman/networks/nettext.pdf. Accessed 12 Apr 2015

Harrison G (2015) Next generation databases NoSQL, NewSQL, and big data. Springer, New York

Herring S (2013) Discourse in Web 2.0: familiar, reconfigured, and emergent. In: Tannen D, Trester A-M (eds) Discourse 2.0: language and new media. Georgetown University Press, Washington, pp 1–25

Himelboim I, McCreery S, Smith M (2013) Birds of a feather tweet together integrating network and content analyses to examine cross-ideology exposure on Twitter. J Comput Mediat Commun 18:154–174

Ignatov DI, Khachay MY, Labunets VG, Loukachevitch N, Nikolenko SI, Panchenko A, Savchenko AV, Vorontsov K (2017) Analysis of images, social networks and texts. Springer, New York

Ikematsu K, Murata T (2013) A fast method for detecting communities from tripartite networks. In: Jatowt A, Lim E-P, Ding Y, Miura A, Tezuka T, Dias G, Tanaka K, Flanagin A, Dai BT (eds) Social informatics. Springer, Switzerland, pp 192–205

Ishfaq U, Khan HU, Iqbal S, Alghobiri M (2021) Finding influential users in microblogs: state-of-the-art methods and open research challenges. Behav Inf Tech 1–44 (ahead-of-print)

Isson JP (2018) Unstructured data analytics: how to improve customer acquisition, customer retention, and fraud detection and prevention. Wiley, New York

Kemper C (2015) Beginning Neo4j create relationships and grow your application with Neo4j. Springer, New York

Kleminski R, Kazienko P (2018) Identifying promising research topics in computer science. In: Alhajj R, Hoppe HU, Hecking T, Brodka P, Kazienko P (eds) Network intelligence meets user centered social media networks. Springer, Switzerland, pp 231–241

Kok S, Rogers R (2017) Rethinking migration in the digital age-transglocalization and the Somali diaspora. Glob Netw 17(1):23–46. https://doi.org/10.1111/glob.12127

Lai LSL, To WM (2015) Content analysis of social media: a grounded theory approach. J Electron Commer Res 16(2):138–152

Liu W, Xiaojun Q, Min F, Bite Q (2010) A short text modeling method combining semantic and statistical information. Inf Sci 180(20):4031–4041

Liu X, Min Q, Wu D, Liu Z (2020) How does social network diversity affect users’ lurking intention toward social network services? A role perspective. Inf. Manag. 57(7):1–16

Lukanin A (2015) Normalization of non-standard words with finite state transducers for russian speech synthesis. In: Khachay MY, Konstantinova N, Panchenko A, Ignatov DI, Labunets VG (eds) Analysis of images social networks and texts. Springer, Switzerland, pp 39–48

Ma H, Che D (2016) An integrative social network and review content based recommender system. J Ind Intell Inf 4(1):69–75

Madan M, Chopra M (2015) Using mining predict relationships on the social media network: Facebook (FB). Int J Adv Res Artif Intell 4(4):60–63

Mahanti A, Carlsson N, Williamson C (2012) Content sharing dynamics in the global file hosting landscape. In: Conference in proceedings of the 2012 IEEE 20th international symposium on modeling, analysis and simulation of computer and telecommunication systems. https://doi.org/10.1109/MASCOTS.2012.34

Marmo R (2011) Web mining and social network analysis. In: Zhang H, Segall R, Cao M (eds) Visual analytics and interactive technologies: data, text and web mining applications. Information Science Reference, Hershey, pp 202–211

Monaghan S, Lavelle J, Gunnigle P (2017) Mapping networks: exploring the utility of social network analysis in management research and practice. Elsevier J Business Res 76(C):136–144

Moser C, Groenewegen P, Huysman M (2013) Extending social network analysis with discourse analysis: combining relational with interpretive data. In: Özyer T, Rokne J, Wagner G, Reuser A (eds) The influence of technology on social network analysis and mining. Springer, New York, pp 547–561

Navigli R, Lapata M (2010) An experimental study of graph connectivity for unsupervised word sense disambiguation. IEEE Trans Pattern Anal Mach Intell 32(4):678–692

Opsahl T (2013) Triadic closure in two-mode networks: redefining the global and local clustering coefficients. Elsevier Soc Netw 35:159–167

Oussalah M, Bhat F, Challis K, Schnier T (2013) A software architecture for Twitter collection, search and geolocation services. Knowl Based Syst 37:105–120

Page L, Brin S, Motwani R, Winograd T (1999) The PageRank citation ranking: bringing order to the web. Technical report, Stanford University, Stanford, CA

Pang B, Lee L (2008). Opinion mining and sentiment analysis. foundations and trends in information Retrieval, 2008. http://www.cs.cornell.edu/home/llee/omsa/omsa.pdf

Power DJ, Phillips-Wren G (2012) Impact of social media and Web 2.0 on decision-making. J Decis Syst 20(3):249–261

Provost F, Fawcett T (2013) Data science for business: what you need to know about data mining and data-analytic thinking. O’Reilly Media, NewtonA

Réda S, Baba-Hamed L, Djatou A (2017) Twitter social networking for recommendation. In: Linden I, Mareschal B, Shaofeng L, Papathanasiou J, Colot C (eds) ICDSST 2017—3rd international conference on decision support system technology: data, information and knowledge visualization in decision making. ICDSST, Namur, Belgium, pp 161–168

Robinson I, Webber J, Eifrem E (2015) Graph databases. O’Reilly Media Inc, Gravenstein Highway North, Sebastopol

Rosa KD, Shah R, Lin B, Gershman A, Frederking R (2011) Topical clustering of tweets. In: Proceedings of SWSM'10. Beijing, China

Ruas PHB, Machado AD, Silva MC, Meireles MRG, Cardoso AMP, Zárate LE, Nobre CN (2019) Identification and characterisation of Facebook user profiles considering interaction aspects. Behav Inf Technol 38(8):858–872

Saint-Charles J, Mongeau P (2018) Social influence and discourse similarity networks in workgroups. Elsevier Soc Netw 52:228–237

Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on world wide web. ACM, USA, pp 851–860

Salmons J (2017) Using social media in data collection: designing studies with the qualitative e-research framework. In: Sloan L, Quan-Haase A (eds) The SAGE handbook of social media research methods. SAGE Publications Ltd, London, pp 177–196

Samanthula BK, Jiang W (2014) A Randomized approach for structural and message based private friend recommendation in online social networks. In: Can F, Ozyer T, Polat F (eds) State of the art applications of social network analysis. Springer, Switzerland, pp 1–34

Sarker A, Ginn R, Nikfarjam A, O’Connor K, Smith K, Jayaraman S, Upadhaya T, Gonzalez G (2015) Utilizing social media data for pharmacovigilance: A review. J Biomed Inf 54:202–212

Sathick J, Venkat J (2015) A generic framework for extraction of knowledge from social web sources (social networking websites) for an online recommendation system. Int Rev Res Open Distrib Learn 16(2):247–271

Savic M, Ivanovic M, Jain LC (2019) Complex networks in software, knowledge, and social systems. Springer, Switzerland

Simon HA (1977) The new science of management decision. Prentice Hall, Englewood Cliffs

Tabassum S, Gama J, Azevedo P, Teixeira L., Martins C, Martins A (2021) Dynamic topic modeling using social network analytics. Cham

Tollinen A, Jarvinen J, Karjaluoto H (2012) Opportunities and challenges of social media monitoring in the business to business sector. In: The 4th international business and social science research conference. Dubai, UAE, pp 1–14

Tripathy BK, Baktha K (2018) Security, privacy, and anonymization in social networks: emerging research and opportunities: emerging research and opportunities. IGI Global, USA

Tripathy BK, Thakur S, Chowdhury R (2017) A Classification Model to Analyze the Spread and Emerging Trends of the Zika Virus in Twitter. In: Behera HS, Mohapatra DP (eds) Computational intelligence in data mining. Springer, Singapore, pp 643–650

Troisi O, Grimaldi M, Loia F, Maione G (2018) Big data and sentiment analysis to highlight decision behaviours: a case study for student population. Behav Inf Technol 37(10–11):1111–1128

Velde BVD, Meijer A, Homburg V (2015) Police message diffusion on Twitter: analysing the reach of social media communications. Behav Inf Technol 34(1):4–16

Vicario M, Zollo F, Caldarelli G, Scala A, Quattrociocchi W (2017) Mapping social dynamics on Facebook: the Brexit debate. Soc Netw 50:6–16

Vosecky J, Jiang D, Leung KW-T, Xing K, Ng W (2014) Integrating social and auxiliary semantics for multifaceted topic modeling in Twitter. ACM Trans Internet Technol (TOIT) Special Issue Found Soc Comput 14(4):1–24

Wachsmuth H (2015) Text analysis pipelines: towards ad-hoc large-scale text mining. Springer, Switzerland

Walha A, Ghozzi F, Gargouri F (2017) ETL4Social-data: modeling approach for topic hierarchy. In: 9th international joint conference on knowledge discovery, knowledge engineering and knowledge management (KEOD 2017), Madeira, Portugal November 1–3

Wang L, Ren X, Wan H, Yan J (2020) Managerial responses to online reviews under budget constraints: whom to target and how. Inf Manag 57(8):1–13

Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, New YorkMATH

Yu R, Christophersen C, Song Y-D, Mahanti A (2019) Comparative analysis of adult video streaming services: characteristics and workload. In: 2019 network traffic measurement and analysis conference (TMA), pp 49–56

Zielinski A, Middleton SE, Tokarchuk LN, Wang X (2013) Social media text mining and network analysis for decision support in natural crisis management. In: International conference on information systems for crisis response and management (ISCRAM), Baden-Baden, Germany May 12–15

Titel: Getting decision support from context-specific online social networks: a case study
verfasst von: Manuela Freire
Francisco Antunes
João Paulo Costa
Publikationsdatum: 01.12.2022
Verlag: Springer Vienna
Erschienen in: Social Network Analysis and Mining / Ausgabe 1/2022
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-022-00870-3

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