{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T21:07:07Z","timestamp":1763500027572,"version":"3.38.0"},"reference-count":84,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T00:00:00Z","timestamp":1741651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T00:00:00Z","timestamp":1741651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-03808-6","type":"journal-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T10:26:45Z","timestamp":1741688805000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predictive Analytics of Crime Data in Social Media: A Systematic Review, Incorporating Framework, and Future Investigation Schedule"],"prefix":"10.1007","volume":"6","author":[{"family":"Monika","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5475-8664","authenticated-orcid":false,"given":"Aruna","family":"Bhat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,11]]},"reference":[{"key":"3808_CR1","doi-asserted-by":"publisher","first-page":"95456","DOI":"10.1109\/ACCESS.2021.3094532","volume":"9","author":"I Shafi","year":"2021","unstructured":"Shafi I, Din S, Hussain Z, Ashraf I, Choi GS. Adaptable reduced-complexity approach based on state vector machine for identification of criminal activists on social media. IEEE Access. 2021;9:95456\u201368.","journal-title":"IEEE Access"},{"key":"3808_CR2","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2021.0120338","author":"R Mahajan","year":"2021","unstructured":"Mahajan R, Mansotra V. Correlating crime and social media: using semantic sentiment analysis. Int J Adv Comput Sci Appl. 2021. https:\/\/doi.org\/10.14569\/IJACSA.2021.0120338.","journal-title":"Int J Adv Comput Sci Appl"},{"key":"3808_CR3","unstructured":"Alluri S, Varma MMKS (2021) An ensemble framework to analyze the crimes in social media by using deep learning algorithm"},{"key":"3808_CR4","unstructured":"Dhomse, K. (2023). Crime prediction and analysis using data mining. Learning, 10(04)"},{"issue":"1","key":"3808_CR5","doi-asserted-by":"publisher","first-page":"2024009","DOI":"10.31893\/multiscience.2024009","volume":"6","author":"A Kathole","year":"2024","unstructured":"Kathole A, Shinde S, Wadhwa L. Integrating MLOps and EEG techniques for enhanced crime detection and prevention. Multidiscip Sci J. 2024;6(1):2024009\u20132024009.","journal-title":"Multidiscip Sci J"},{"key":"3808_CR6","doi-asserted-by":"crossref","unstructured":"Joshi A, Sabitha AS, Choudhury T (2017) Crime analysis using k-means clustering. In: 2017 International Conference on Computational Intelligence and Networks. IEEE","DOI":"10.1109\/CINE.2017.23"},{"issue":"1","key":"3808_CR7","first-page":"1","volume":"2","author":"VK Gupta","year":"2022","unstructured":"Gupta VK, Shukla SK, Rawat RS. Crime tracking system and people\u2019s safety in India using machine learning approaches. Int J Modern Res. 2022;2(1):1\u20137.","journal-title":"Int J Modern Res"},{"issue":"2","key":"3808_CR8","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1007\/s12065-021-00694-8","volume":"16","author":"J Vimala Devi","year":"2023","unstructured":"Vimala Devi J, Kavitha KS. Adaptive deep Q learning network with reinforcement learning for crime prediction. Evol Intel. 2023;16(2):685\u201396.","journal-title":"Evol Intel"},{"key":"3808_CR9","doi-asserted-by":"crossref","unstructured":"Chen P, Kurland J (2018) Time, place, and modus operandi: a simple apriori algorithm experiment for crime pattern detection. IEEE","DOI":"10.1109\/IISA.2018.8633657"},{"issue":"15","key":"3808_CR10","doi-asserted-by":"publisher","first-page":"22613","DOI":"10.1007\/s11042-023-14432-y","volume":"82","author":"R Jain","year":"2023","unstructured":"Jain R, Kumar A, Nayyar A, Dewan K, Garg R, Raman S, Ganguly S. Explaining sentiment analysis results on social media texts through visualization. Multimed Tools Appl. 2023;82(15):22613\u201329.","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"3808_CR11","doi-asserted-by":"publisher","first-page":"3675","DOI":"10.3390\/app12073675","volume":"12","author":"F Ferooz","year":"2022","unstructured":"Ferooz F, Hassan MT, Mahmood S, Asim H, Idrees M, Assam M, Mohamed A, Attia EA. Risk and pattern analysis of pakistani crime data using unsupervised learning techniques. Appl Sci. 2022;12(7):3675.","journal-title":"Appl Sci"},{"key":"3808_CR12","doi-asserted-by":"crossref","unstructured":"Wanchoo K, Desai J (2022) Leveraging big data analytics for predictive policing in India. In ICT Systems and Sustainability (pp 259\u2013269). Springer, Singapore","DOI":"10.1007\/978-981-16-5987-4_27"},{"issue":"4","key":"3808_CR13","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1016\/S0169-2070(03)00092-X","volume":"19","author":"W Gorr","year":"2003","unstructured":"Gorr W, Olligschlaeger A, Thompson Y. Short-term forecasting of crime. Int J Forecast. 2003;19(4):579\u201394.","journal-title":"Int J Forecast"},{"key":"3808_CR14","doi-asserted-by":"crossref","unstructured":"Jaber M, Sheibani R, Shakeri H (2022) A model for predicting crimes using big data and neural\u2010fuzzy networks. Concurrency and Computation: Practice and Experience, p e6985","DOI":"10.1002\/cpe.6985"},{"issue":"2","key":"3808_CR15","first-page":"1167","volume":"15","author":"BR Prathap","year":"2023","unstructured":"Prathap BR. Geo-spatial crime density attribution using optimized machine learning algorithms. Int J Inf Technol. 2023;15(2):1167\u201378.","journal-title":"Int J Inf Technol"},{"key":"3808_CR16","doi-asserted-by":"crossref","unstructured":"Inbaraj XA, Rao AS (2018) Hybrid clustering algorithms for crime pattern analysis. In: 2018 IEEE International Conference on Current Trends toward Converging Technologies, Coimbatore, India","DOI":"10.1109\/ICCTCT.2018.8551120"},{"key":"3808_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3286344","author":"V Mandalapu","year":"2023","unstructured":"Mandalapu V, Elluri L, Vyas P, Roy N. Crime prediction using machine learning and deep learning: a systematic review and future directions. IEEE Access. 2023. https:\/\/doi.org\/10.1109\/ACCESS.2023.3286344.","journal-title":"IEEE Access"},{"issue":"9","key":"3808_CR18","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1080\/13658816.2020.1719495","volume":"34","author":"A Ristea","year":"2020","unstructured":"Ristea A, Al Boni M, Resch B, Gerber MS, Leitner M. Spatial crime distribution and prediction for sporting events using social media. Int J Geograph Inf Sci. 2020;34(9):1708\u201339.","journal-title":"Int J Geograph Inf Sci"},{"issue":"3","key":"3808_CR19","doi-asserted-by":"publisher","first-page":"1630","DOI":"10.11591\/eei.v12i3.5157","volume":"12","author":"M Boukabous","year":"2023","unstructured":"Boukabous M, Azizi M. Image and video-based crime prediction using object detection and deep learning. Bull Electr Eng Inform. 2023;12(3):1630\u20138.","journal-title":"Bull Electr Eng Inform"},{"issue":"4","key":"3808_CR20","doi-asserted-by":"publisher","first-page":"4287","DOI":"10.3233\/JIFS-190870","volume":"38","author":"T Vo","year":"2020","unstructured":"Vo T, Sharma R, Kumar R, Son LH, Pham BT, Tien Bui D, Priyadarshini I, Sarkar M, Le T. Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering. J Intell Fuzzy Syst. 2020;38(4):4287\u201399.","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"3808_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1057\/s41599-020-0430-7","volume":"6","author":"R Prieto Curiel","year":"2020","unstructured":"Prieto Curiel R, Cresci S, Muntean CI, Bishop SR. Crime and its fear in social media. Palgrave Commun. 2020;6(1):1\u201312.","journal-title":"Palgrave Commun"},{"issue":"1","key":"3808_CR22","first-page":"5","volume":"4","author":"H Rajeev","year":"2023","unstructured":"Rajeev H, Chakkaravarty M. Prediction of cybercrime using the Avinashak algorithm. Indian J Artif Intell Neural Netw (IJAINN). 2023;4(1):5\u201310.","journal-title":"Indian J Artif Intell Neural Netw (IJAINN)"},{"issue":"1","key":"3808_CR23","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1140\/epjds\/s13688-022-00366-2","volume":"11","author":"J Wu","year":"2022","unstructured":"Wu J, Abrar SM, Awasthi N, Frias-Martinez E, Frias-Martinez V. Enhancing short-term crime prediction with human mobility flows and deep learning architectures. EPJ Data Sci. 2022;11(1):53.","journal-title":"EPJ Data Sci"},{"key":"3808_CR24","doi-asserted-by":"crossref","unstructured":"Maimon D, Fukuda A, Hinton S, Babko-Malaya O, Cathey R (2017) On the relevance of social media platforms in predicting the volume and patterns of web defacement attacks. In\u00a02017 IEEE international conference on big data (Big Data), pp 4668\u20134673. IEEE","DOI":"10.1109\/BigData.2017.8258513"},{"issue":"1","key":"3808_CR25","volume":"6","author":"F Dakalbab","year":"2022","unstructured":"Dakalbab F, Talib MA, Waraga OA, Nassif AB, Abbas S, Nasir Q. Artificial intelligence and crime prediction: a systematic literature review. Soc Sci Human Open. 2022;6(1): 100342.","journal-title":"Soc Sci Human Open"},{"issue":"1","key":"3808_CR26","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3233\/IDA-163183","volume":"22","author":"S Aghababaei","year":"2018","unstructured":"Aghababaei S, Makrehchi M. Mining Twitter data for crime trend prediction. Intell Data Anal. 2018;22(1):117\u201341.","journal-title":"Intell Data Anal"},{"issue":"2","key":"3808_CR27","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.11591\/ijeecs.v25.i2.pp1131-1139","volume":"25","author":"M Boukabous","year":"2022","unstructured":"Boukabous M, Azizi M. Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers. Indonesian J Electr Eng Comput Sci. 2022;25(2):1131\u20139.","journal-title":"Indonesian J Electr Eng Comput Sci"},{"key":"3808_CR28","doi-asserted-by":"crossref","unstructured":"Keymanesh M, Gurukar S, Boettner B, Browning C, Calder C, Parthasarathy S (2020) Twitter watch: Leveraging social media to monitor and predict collective-efficacy of neighbourhoods. In Complex Networks XI, pp. 197\u2013211. Springer, Cham","DOI":"10.1007\/978-3-030-40943-2_17"},{"key":"3808_CR29","doi-asserted-by":"crossref","unstructured":"De S, Kaur M, Behera RK (2022) Crime rate analysis and prediction in delhi using facebook prophet. In Smart Intelligent Computing and Applications, Volume 2 (pp. 419\u2013428). Springer, Singapore","DOI":"10.1007\/978-981-16-9705-0_41"},{"key":"3808_CR30","doi-asserted-by":"crossref","unstructured":"Sagala NT (2022) Comparative analysis of grid-based decision tree and support vector machine for crime category prediction. In 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE) (pp 184\u2013188). IEEE","DOI":"10.1109\/ISMODE53584.2022.9743082"},{"key":"3808_CR31","doi-asserted-by":"crossref","unstructured":"Roshankar R, Keyvanpour MR (2023) Spatio-temporal graph neural networks for accurate crime prediction. In 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE) (pp 168\u2013173). IEEE","DOI":"10.1109\/ICCKE60553.2023.10326223"},{"issue":"3","key":"3808_CR32","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1002\/nop2.40","volume":"3","author":"B Appleby","year":"2016","unstructured":"Appleby B, Roskell C, Daly W. What are health professionals\u2019 intentions toward using research and products of research in clinical practice? A systematic review and narrative synthesis. Nurs Open. 2016;3(3):125\u201339.","journal-title":"Nurs Open"},{"key":"3808_CR33","doi-asserted-by":"crossref","unstructured":"Liao R, Wang X, Li L, Qin Z. A novel serial crime prediction model based on Bayesian learning theory. In: Proceedings of the 2010 IEEE International Conference on Machine Learning and Cybernetics","DOI":"10.1109\/ICMLC.2010.5580971"},{"issue":"3","key":"3808_CR34","doi-asserted-by":"publisher","first-page":"2887","DOI":"10.1007\/s12652-023-04530-y","volume":"14","author":"K Jenga","year":"2023","unstructured":"Jenga K, Catal C, Kar G. Machine learning in crime prediction. J Ambient Intell Hum Comput. 2023;14(3):2887\u2013913.","journal-title":"J Ambient Intell Hum Comput"},{"key":"3808_CR35","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.procs.2020.05.018","volume":"172","author":"SR Bandekar","year":"2020","unstructured":"Bandekar SR, Vijayalakshmi C. Design and Analysis of machine learning algorithms for the reduction of crime rates in India. Procedia Comput Sci. 2020;172:122\u20137.","journal-title":"Procedia Comput Sci"},{"issue":"5","key":"3808_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3472713","volume":"12","author":"C Hu","year":"2021","unstructured":"Hu C, Yin M, Liu B, Li X, Ye Y. Identifying illicit drug dealers on instagram with large-scale multi-modal data fusion. ACM Trans Intell Syst Technol (TIST). 2021;12(5):1\u201323.","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"issue":"3","key":"3808_CR37","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/laws13030031","volume":"13","author":"DM Moore","year":"2024","unstructured":"Moore DM. Algorithmic exploitation in social media human trafficking and strategies for regulation. Laws. 2024;13(3):31.","journal-title":"Laws"},{"key":"3808_CR38","doi-asserted-by":"crossref","unstructured":"Chen X, Cho Y, Jang SY (2015) Crime prediction using twitter and weather, Systems and Information Engineering Design Symposium (SIEDS), IEEE, pp 63\u201368","DOI":"10.1109\/SIEDS.2015.7117012"},{"key":"3808_CR39","doi-asserted-by":"crossref","unstructured":"Dandannavar PS, Mangalwede SR, Kulkarni PM (2018) Social media text-a source for personality prediction. In 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), pp. 62\u201365. IEEE","DOI":"10.1109\/CTEMS.2018.8769304"},{"key":"3808_CR40","doi-asserted-by":"crossref","unstructured":"Wang P, Mathieu R, Ke J, Cai HJ. Predicting Criminal Recidivism with Support Vector Machine. In: Proceedings of the 2010 IEEE International Conference on Management and Service Science","DOI":"10.1109\/ICMSS.2010.5575352"},{"key":"3808_CR41","doi-asserted-by":"crossref","unstructured":"Sharma M (2014) \"Z-Crime: a data mining tool for the detection of suspicious criminal activities based on the decision tree, International Conference on Data Mining and Intelligent Computing, pp. 1\u20136","DOI":"10.1109\/ICDMIC.2014.6954268"},{"key":"3808_CR42","doi-asserted-by":"crossref","unstructured":"Hamdy E, Adl A, Hassanien AE, Hegazy O, Kim TH (2015) Criminal act detection and identification model, Proceedings of 7th International Conference on Advanced Communication and Networking, pp. 79\u201383","DOI":"10.1109\/ACN.2015.30"},{"key":"3808_CR43","doi-asserted-by":"crossref","unstructured":"Tam S, \u00d6zg\u00fcrTanr\u0131\u00f6ver \u00d6 (2023) Multi-modal deep learning crime prediction using crime and tweets. IEEE Access","DOI":"10.1109\/ACCESS.2023.3308967"},{"key":"3808_CR44","doi-asserted-by":"crossref","unstructured":"Bogahawatte K, Adikari S. Intelligent criminal identification system, Proceedings of 8th IEEE International Conference on Computer Science and Education, pp. 633\u2013638","DOI":"10.1109\/ICCSE.2013.6553986"},{"issue":"4","key":"3808_CR45","first-page":"1","volume":"83","author":"J Agarwal","year":"2013","unstructured":"Agarwal J, Nagpal R, Sehgal R. Crime analysis using K-means clustering. Int J Comput Appl. 2013;83(4):1\u20134.","journal-title":"Int J Comput Appl"},{"issue":"8","key":"3808_CR46","doi-asserted-by":"publisher","first-page":"11","DOI":"10.14569\/IJARAI.2015.040802","volume":"4","author":"R Kiani","year":"2015","unstructured":"Kiani R, Mahdavi S, Keshavarzi A. Analysis and prediction of crimes by clustering and classification. Int J Adv Res Artif Intell. 2015;4(8):11\u20137.","journal-title":"Int J Adv Res Artif Intell"},{"key":"3808_CR47","doi-asserted-by":"crossref","unstructured":"Sathyadevan S, Devan MS, Gangadharan SS (2014) Crime analysis and prediction using data mining, Proceedings of IEEE 1st International Conference on Networks and Soft Computing, pp. 406\u2013412","DOI":"10.1109\/CNSC.2014.6906719"},{"key":"3808_CR48","doi-asserted-by":"crossref","unstructured":"Huang YY, Li CT, Jeng SK (2015) Mining location-based social networks for criminal activity prediction, Proceedings of 24th IEEE International Conference on Wireless and Optical Communication, pp 185\u2013190","DOI":"10.1109\/WOCC.2015.7346202"},{"issue":"2","key":"3808_CR49","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3390\/ijgi7020043","volume":"7","author":"A Ristea","year":"2018","unstructured":"Ristea A, Kurland J, Resch B, Leitner M, Langford C. Estimating the spatial distribution of crime events around a football stadium from georeferenced tweets. ISPRS Int J Geo Inf. 2018;7(2):43.","journal-title":"ISPRS Int J Geo Inf"},{"key":"3808_CR50","doi-asserted-by":"crossref","unstructured":"Ioannidis I, Haining RP, Ceccato V, Nascetti A (2024) Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts. Cartogr Geogr Inf Sci, pp 1\u201317","DOI":"10.1080\/15230406.2023.2296598"},{"key":"3808_CR51","doi-asserted-by":"crossref","unstructured":"Almehmadi A (2017) Language usage on twitter predicts crime rates, Security of Information and Networks, pp 307\u2013310","DOI":"10.1145\/3136825.3136854"},{"issue":"4","key":"3808_CR52","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/TIFS.2015.2510826","volume":"11","author":"K Taha","year":"2016","unstructured":"Taha K, Yoo PD. SIIMCO: a forensic investigation tool for identifying the influential members of a criminal organization. IEEE Trans Inf Forensics Secur. 2016;11(4):811\u201322.","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"3808_CR53","doi-asserted-by":"publisher","first-page":"1462","DOI":"10.1016\/j.procs.2020.03.357","volume":"167","author":"G Hajela","year":"2020","unstructured":"Hajela G, Chawla M, Rasool A. A clustering based hotspot identification approach for crime prediction. Procedia Comput Sci. 2020;167:1462\u201370.","journal-title":"Procedia Comput Sci"},{"key":"3808_CR54","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.dss.2019.03.001","volume":"119","author":"C Kadar","year":"2019","unstructured":"Kadar C, Maculan R, Feuerriegel S. Public decision support for low population density areas: an imbalance-aware hyper-ensemble for spatio-temporal crime prediction. Decis Support Syst. 2019;119:107\u201317.","journal-title":"Decis Support Syst"},{"issue":"7","key":"3808_CR55","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1177\/0013916520937455","volume":"53","author":"HR Stevens","year":"2021","unstructured":"Stevens HR, Graham PL, Beggs PJ, Hanigan IC. In cold weather we bark, but in hot weather we bite: patterns in social media anger, aggressive Behavior, and temperature. Environ Behav. 2021;53(7):787\u2013805.","journal-title":"Environ Behav"},{"key":"3808_CR56","doi-asserted-by":"crossref","unstructured":"Wawrzyniak ZM, Borowik G, Szczechla E, Michalak P, Pytlak R, Cichosz P, Ircha D, Olszewski W, Perkowski E (2018) Relationships between crime and everyday factors. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES), pp. 000039\u2013000044. IEEE","DOI":"10.1109\/INES.2018.8523999"},{"key":"3808_CR57","doi-asserted-by":"crossref","unstructured":"Borowik G, Wawrzyniak ZM, Cichosz P (2018) Time series analysis for crime forecasting. In 2018 26th international conference on systems engineering (ICSEng), pp 1\u201310. IEEE","DOI":"10.1109\/ICSENG.2018.8638179"},{"issue":"1","key":"3808_CR58","doi-asserted-by":"publisher","first-page":"9","DOI":"10.2478\/acss-2019-0002","volume":"24","author":"TR Soomro","year":"2019","unstructured":"Soomro TR, Hussain M. Social media-related cybercrimes and techniques for their prevention. Appl Comput Syst. 2019;24(1):9\u201317.","journal-title":"Appl Comput Syst"},{"key":"3808_CR59","doi-asserted-by":"crossref","unstructured":"Kadar C, Ros\u00e9s Br\u00fcngger R, Pletikosa I (2017) Measuring ambient population from location-based social networks to describe urban crime. In: International conference on social informatics, pp 521\u2013535. Springer, Cham","DOI":"10.1007\/978-3-319-67217-5_31"},{"issue":"1","key":"3808_CR60","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1140\/epjds\/s13688-018-0150-z","volume":"7","author":"C Kadar","year":"2018","unstructured":"Kadar C, Pletikosa I. Mining large-scale human mobility data for long-term crime prediction. EPJ Data Sci. 2018;7(1):1\u201327.","journal-title":"EPJ Data Sci"},{"issue":"1","key":"3808_CR61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3229329.3229331","volume":"20","author":"X Zhao","year":"2018","unstructured":"Zhao X, Tang J. Crime in urban areas: a data mining perspective. ACM SIGKDD Explor Newsl. 2018;20(1):1\u201312.","journal-title":"ACM SIGKDD Explor Newsl"},{"issue":"1","key":"3808_CR62","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.dss.2014.02.003","volume":"61","author":"MS Gerber","year":"2014","unstructured":"Gerber MS. Predicting crime using Twitter and kernel density estimation. Decis Supp Syst. 2014;61(1):115\u201325.","journal-title":"Decis Supp Syst"},{"key":"3808_CR63","doi-asserted-by":"crossref","unstructured":"Wang X, Gerber MS, Brown DE (2012) Automatic crime prediction using events extracted from twitter posts, in Social Computing, Behavioral-Cultural Modeling and Prediction. Springer, pp 231\u2013238","DOI":"10.1007\/978-3-642-29047-3_28"},{"key":"3808_CR64","first-page":"526","volume":"13","author":"S Aghababaei","year":"2016","unstructured":"Aghababaei S, Makrehchi M. Mining social media content for crime predic-tion. IEEE\/WIC\/ACM Int Conf Web Intell. 2016;13:526\u201331.","journal-title":"IEEE\/WIC\/ACM Int Conf Web Intell"},{"key":"3808_CR65","unstructured":"Ristea A, Leitner M, Andresen MA (2018) Opinion mining from Twitter and spatial crime distribution for hockey events in Vancouver, AGILE, pp 1\u20137"},{"key":"3808_CR66","doi-asserted-by":"crossref","unstructured":"Siriaraya P, Wang Y, Jatowt A (2019) Witnessing crime through tweets\u202f:a crime investiga-tio tool based on social media, In: Internation-al Conference on Advances in Geographic Information Systems, pp 568\u2013571","DOI":"10.1145\/3347146.3359082"},{"key":"3808_CR67","unstructured":"Zhang Q, Ren X, Xia L, Yiu SM, Huang C (2023) Spatio-temporal graph learning with large language model"},{"key":"3808_CR68","doi-asserted-by":"crossref","unstructured":"Deng S, de Rijke M, Ning Y (2024). Advances in human event modeling: from graph neural networks to language models. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining\u00a0(pp 6459\u20136469)","DOI":"10.1145\/3637528.3671466"},{"key":"3808_CR69","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1683","volume":"9","author":"Y Wang","year":"2023","unstructured":"Wang Y, Su F. Risk assessment for commercial crime and legal protection based on modularity-optimized LM and SCA-optimized CNN. PeerJ Comput Sci. 2023;9: e1683.","journal-title":"PeerJ Comput Sci"},{"key":"3808_CR70","doi-asserted-by":"crossref","unstructured":"Raja Raman V (2016) \"Big data analytics,\" Resonance, pp.695\u20137166","DOI":"10.1007\/s12045-016-0376-7"},{"key":"3808_CR71","unstructured":"Ramesh E, Aggarwal H (2018) Big social data analytics for human behaviour prediction platform: a futuristic approach. Int J 4(2)"},{"key":"3808_CR72","volume-title":"Introduction to data mining with case studies","author":"G Gupta","year":"2014","unstructured":"Gupta G. Introduction to data mining with case studies. PHI Learning Pvt. Ltd.; 2014."},{"key":"3808_CR73","doi-asserted-by":"crossref","unstructured":"Bhuyan HK, Pani SK (2021) Crime predictive model using big data analytics. Intelligent data analytics for terror threat prediction: architectures, methodologies, techniques and applications, pp 57\u201378","DOI":"10.1002\/9781119711629.ch3"},{"issue":"14","key":"3808_CR74","first-page":"2133","volume":"12","author":"K Santhiya","year":"2021","unstructured":"Santhiya K, Bhuvaneswari V, Murugesh V. Automated crime tweets classification and geo-location prediction using big data framework. Turk J Comput Math Educ (TURCOMAT). 2021;12(14):2133\u201352.","journal-title":"Turk J Comput Math Educ (TURCOMAT)"},{"issue":"10","key":"3808_CR75","doi-asserted-by":"publisher","first-page":"2664","DOI":"10.3390\/electronics10212664","volume":"2021","author":"M Alotaibi","year":"2021","unstructured":"Alotaibi M, Alotaibi B, Razaque A. A multichannel deep learning framework for cyberbullying detection on social media. Electronics. 2021;2021(10):2664.","journal-title":"Electronics"},{"key":"3808_CR76","doi-asserted-by":"crossref","unstructured":"Azumah SW, Elsayed N, ElSayed Z, Ozer M, La Guardia A (2024) Deep learning approaches for detecting adversarial cyberbullying and hate speech in social networks. arXiv preprint arXiv:2406.17793","DOI":"10.1109\/AIBThings63359.2024.10863625"},{"issue":"21","key":"3808_CR77","doi-asserted-by":"publisher","first-page":"4654","DOI":"10.3390\/s19214654","volume":"19","author":"JC Pereira-Kohatsu","year":"2019","unstructured":"Pereira-Kohatsu JC, Quijano-S\u00e1nchez L, Liberatore F, Camacho-Collados M. Detecting and monitoring hate speech in Twitter. Sensors. 2019;19(21):4654.","journal-title":"Sensors"},{"key":"3808_CR78","doi-asserted-by":"publisher","DOI":"10.31449\/inf.v48i6.4749","author":"GA Taiwo","year":"2024","unstructured":"Taiwo GA, Saraee M, Fatai J. Crime prediction using twitter sentiments and crime data. Informatica. 2024. https:\/\/doi.org\/10.31449\/inf.v48i6.4749.","journal-title":"Informatica"},{"issue":"4","key":"3808_CR79","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1007\/s11760-022-02311-2","volume":"17","author":"SF Tekin","year":"2023","unstructured":"Tekin SF, Kozat SS. Crime prediction with graph neural networks and multivariate normal distributions. SIViP. 2023;17(4):1053\u20139.","journal-title":"SIViP"},{"issue":"1","key":"3808_CR80","doi-asserted-by":"publisher","first-page":"267","DOI":"10.30574\/msarr.2024.11.1.0091","volume":"11","author":"AC Ijiga","year":"2024","unstructured":"Ijiga AC, Olola TM, Enyejo LA, Akpa FA, Olatunde TI, Olajide FI. Advanced surveillance and detection systems using deep learning to combat human trafficking. Magna Scientia Adv Res Rev. 2024;11(1):267\u201386.","journal-title":"Magna Scientia Adv Res Rev"},{"key":"3808_CR81","doi-asserted-by":"crossref","unstructured":"Sheehy K et al (2016) Evidence-based analysis of mentally 111 individuals in the criminal justice system, Proceedings of IEEE systems and information engineering design symposium, pp. 250\u2013254","DOI":"10.1109\/SIEDS.2016.7489308"},{"issue":"1","key":"3808_CR82","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TBDATA.2015.2465959","volume":"1","author":"Y Zheng","year":"2015","unstructured":"Zheng Y. Methodologies for cross-domain data fusion: an overview. IEEE Trans Big Data. 2015;1(1):16\u201334.","journal-title":"IEEE Trans Big Data"},{"key":"3808_CR83","unstructured":"Chen P, Yuan H, Shu X. Forecasting Crime Using the ARIMA Model. In: Proceedings of the 5th IEEE international conference on fuzzy systems and knowledge discovery"},{"key":"3808_CR84","doi-asserted-by":"publisher","first-page":"106111","DOI":"10.1109\/ACCESS.2019.2930410","volume":"7","author":"M Feng","year":"2019","unstructured":"Feng M, Zheng J, Ren J, Hussain A, Li X, Xi Y, Liu Q. Big data analytics and mining for effective visualization and trends forecasting of crime data. IEEE Access. 2019;7:106111\u201323.","journal-title":"IEEE Access"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-03808-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-03808-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-03808-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T10:53:01Z","timestamp":1741690381000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-03808-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,11]]},"references-count":84,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["3808"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-03808-6","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,11]]},"assertion":[{"value":"28 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest and have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}],"article-number":"270"}}