Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
DE
EN
Books
Journals
Events
Topic Page
Marketing
Log in
Learn more about individual access
Request company access
13th International Engine Congress 2026 | 24 + 25 February 2026

Meeting Place for the Powertrain and Sustainable Fuels Community

Take part as a speaker in the 13th International Engine Congress 2026, the Meeting Place for the Powertrain, and Sustainable Fuels Community for the exchange of experience. Submit a subject proposal online about our main subject areas: Passenger car engine technology, Commercial vehicle engine technology and Sustainable Fuels & Energy!
EXTENDED SEARCH
Log in
Top
Social Network Analysis and Mining
Published in:

01-12-2016 | Original Article

Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions

Authors: Gaspar Brogueira, Fernando Batista, Joao Paulo Carvalho

Published in: Social Network Analysis and Mining | Issue 1/2016

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The information published by the millions of public social network users is an important source of knowledge that can be used in academic, socioeconomic or demographic studies (distribution of male and female population, age, marital status, birth), lifestyle analysis (interests, hobbies, social habits) or be used to study online behavior (time spent online, interaction with friends or discussion about brands, products or politics). This work uses a database of about 27 million Portuguese geolocated tweets, produced in Portugal by 97.8 K users during a 1-year period, to extract information about the behavior of the geolocated Portuguese Twitter community and show that with this information it is possible to extract overall indicators such as: the daily periods of increased activity per region; prediction of regions where the concentration of the population is higher or lower in certain periods of the year; how do regional habitants feel about life; or what is talked about in each region. We also analyze the behavior of the geolocated Portuguese Twitter users based on the tweeted contents, and find indications that their behavior differs in certain relevant aspect from other Twitter communities, hypothesizing that this is in part due to the abnormal high percentage of young teenagers in the community. Finally, we present a small case study on Portuguese tourism in the Algarve region. To the best of our knowledge, this work is the first study that shows geolocated Portuguese users’ behavior in Twitter focusing on geographic regional use.
previous article From classification to quantification in tweet sentiment analysis
next article Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
Footnotes
1
https://​about.​twitter.​com/​company, last accessed, February 5th, 2016.
 
Literature
Bora S, Singh H, Sen A, Bagchi A, Singla P (2015) On the role of conductance, geography and topology in predicting hashtag virality. J Soc Netw Anal Min 5(1):1–15CrossRef
Boyd D, Golder S, Lotan G (2010) Tweet, tweet, retweet: conversational aspects of retweeting on Twitter. In: Proceedings in system sciences (HICSS), pp 1–10
Brogueira G, Batista F, Carvalho JP, H. Moniz H (2014a) Portuguese geolocated tweets: an overview. In: Proceedings of the international conference on information systems and design of communication, ISDOC, pp 178–179. ACM
Brogueira G, Batista F, Carvalho JP, H. Moniz H (2014b) Expanding a database of Portuguese tweets. In: SLATE’14 3rd symposium on languages, applications and technologies, Jun. 2014, pp 275–282, Schloss Dagstuhl
Brogueira G, Batista F, Carvalho JP (2015) Sistema Inteligente de Recolha, Armazenamento e Visualização de Informação proveniente do Twitter. In: 15th Conferência da Associação Portuguesa de Sistemas de Informação, CAPSI’2015, Lisboa
Brogueira G, Batista F, Carvalho JP (2016) A smart system for Twitter corpus collection, management and visualization. Int J Technol Hum Interact. Accepted for publication, IGI Global, 2016
Burnap P, Williams M, Sloan L, Rana O, Housley W, Edwards A, Knight V, Procter R, Voss A (2014) Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. J Soc Netw Anal Min 4(1):1–14
Chandra S, Khan L, Muhaya FB (2011) Estimating Twitter user location using social interactions—a content based approach. In: Proceedings—2011 IEEE international conference on privacy, security, risk and trust and IEEE international conference on social computing, PASSAT/SocialCom 2011, pp 838–843
Chang J, Sun E (2011) Location 3: how users share and respond to location-based data on social networking sites. In: Proceedings of the 5th international conference on weblogs and social media (ICWSM’11). AAAI Press, pp 74–80
Cheng Z, Caverlee J, Lee K (2010) You are where you tweet: a content-based approach to geo-locating twitter users. In: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM ‘10). ACM, pp 759–768
Culotta A (2014) Estimating county health statistics with Twitter. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 1335–1344
Culotta A, Ravi N, Cutler J (2015) Predicting the demographics of Twitter users from social evidence using website traffic data. In: 29th AAAI conference on artificial intelligence (AAAI-15)
Eisenstein J, O’Connor B, Smith N, Xing E (2010) A latent variable model for geographic lexical variation. In: Proceedings of the 2010 conference on empirical methods in natural language processing (EMNLP’10). Association for Computational Linguistics, pp 1277–1287
Hecht B, Hong L, Suh B, Chi E (2011) Tweets from Justin Bieber’s heart: the dynamics of the location field in user profiles. In: Proceedings of the SIGCHI conference on human factors in computing systems (CHI ‘11). ACM, pp 237–246
Honeycutt C, Herring S (2009) Beyond microblogging: conversation and collaboration via Twitter. In: Proceedings of the forty-second Hawaii international conference on system sciences (HICSS-42). IEEE Press, Los Alamitos, pp 1–10
Hong L, Convertino G, Chi EH (2011) Language matters in Twitter: a large scale study. In: Fifth international AAAI conference on weblogs and social media
Housley W, Procter R, Edwards A, Burnap P, Williams M, Sloan L, Rana O, Morgan J, Voss A, Greenhill A (2014) Big and broad social data and the sociological imagination: a collaborative response. Big Data Soc 1(2):1–15CrossRef
Instituto Nacional de Estatística (2011) Censos 2011 Resultados Definitivos—Portugal
Java A, Song X, Finn T, Tseng B (2006) Why we Twitter: understanding microblogging usage and communities. Joint 9th WEBKDD and 1st SNA-KDD Workshop ‘07, San Jose, CA
Kalarikkal S, Remya PC (2015) Sentiment analysis and dataset collection: a comparative study. In: Advance computing conference (IACC), IEEE international, pp 519–524
Kim T, Huerta-Canepa G, Park J, Hyun SJ, Lee D (2011) What’s happening: finding spontaneous user clusters nearby using Twitter. In: IEEE international conference on privacy, security, risk, and trust, and IEEE international conference on social computing
Kim H, Lee S, Kyeong S (2013) Discovering hot topics using Twitter streaming data. In: IEEE/ACM international conference on advances in social networks analysis and mining
Kumar S, Morstatter F, Liu H (2014) Twitter data analytics. Springer, New YorkCrossRef
Mahmud J, Nichols J, Drews C (2014) Home location identification of Twitter users. ACM Trans Intell Syst Technol 5(3):47CrossRef
Malik M, Lamba H, Nakos C, Pfeffer J (2015) Population bias in geotagged tweets. In: 9th International AAAI conference on web and social media research. The AAAI Press, pp 18–27
Manfredini F, Tagliolato P, Rosa CD (2011) Monitoring temporary populations through cellular core network data. In: Computational science and its applications—ICCSA 2011. Lecture notes in computer science, vol 6783. Springer, Berlin Heidelberg, pp 151–161
Morstatter F, Pfeffer J, Liu H, Carley K (2013) Is the sample good enough? comparing data from twitter’s streaming API with Twitter’s firehose. In: International AAAI conference on weblogs and social media
Rill S, Reinel D, Scheidt J, Zicari RV (2014) PoliTwi: early detection of emerging political topics on twitter and the impact on concept-level sentiment analysis. Knowl-Based Syst 69:24–33CrossRef
Santos JC, Matos S (2013) Predicting flu incidence from Portuguese tweets. In: International work-conference on bioinformatics and biomedical engineering—IWBBIO, pp 11–18
Saravanan M, Sundar D, Kumaresh VS (2013) Probing of geospatial stream data to report disorientation. In: IEEE recent advances in intelligent computational systems (RAICS)
Widener MJ, Li W (2014) Using geolocated Twitter data to monitor the prevalence of healthy and unhealthy food references across the US. Appl Geogr 54:189–197CrossRef
Zagheni E, Garimella K, State B, Weber I (2014) Inferring international and internal migration patterns from Twitter data. In: Proceedings of the 23rd international conference on WWW’14 companion, Seoul, Korea
Metadata
Title
Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
Authors
Gaspar Brogueira
Fernando Batista
Joao Paulo Carvalho
Publication date
01-12-2016
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2016
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0347-8

Other articles of this Issue 1/2016

Notice to: Promoting where, when and what? An analysis of web logs by integrating data mining and social network techniques to guide ecommerce business promotions

  • Notice

Identifying and validating personality traits-based homophilies for an egocentric network

  • Original Article

Spectral embedding of directed networks

  • Original Article

Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

  • Original Article

Finding remarkably dense sequences of contacts in link streams

  • Original Article

User characterization for online social networks

  • Review Article

Premium Partner

    Image Credits