Postdoctoral Researchers

Dr. Raji Ghawi

Office: B.361

Phone: 089/ 907793 – 208

E-Mail: raji.ghawi@tum.de

Consultation hour: On Mondays, 10:00 a.m. - 12:00 p.m.

For an appointment please contact me in advance.

Resume

Raji Ghawi has been working since 2018 as a post-doctoral research fellow at the Professorship of Computational Social Sciences at the Bavarian School of Policy of the Technical University of Munich. Previously, he worked as an affiliate researcher at the American University of Beirut, Lebanon, and as a lecturer at Al-Baath University in Syria. He earned his doctorate in 2010 on "Ontology-based Cooperation of Information Systems" at the Le2i Laboratoire Electronique of the Université de Bourgogne, France.

His research interests include ontologies and semantic web, database systems, information retrieval and text mining, process mining and social network analysis.
 

Selected publications

2023, Ladyane Souza, Luise Koch, Maria Paula Russo Riva and Raji Ghawi,  "Hate messages received by black and white candidates during the 2022 Brazilian elections, and its potential implications", Estudos Eleitorais, Violência Política de Gênero. Vol. 16, n.2. 

2023, Raji Ghawi, Michael Benzinger and Jürgen Pfeffer, "Approximating Temporal Networks from Aggregated Network Data", The 10th International Conference on Social Networks Analysis, Management and Security (SNAMS 2023), Abu Dhabi, UAE, November 2023.

2023, Raji Ghawi and Jürgen Pfeffer, "Robustness of Centrality Metrics in Interaction-Sampled Communication Networks", The 7th European Conference on Social Networks (EUSN 2023), Ljubljana, Slovenia, September 2023.

2023, Siegfried Müller, Raji Ghawi, Jürgen Pfeffer, "Reviewing the potentials of MMOGs as research environments: A case study from the strategy game Travian". PLOS ONE 18(2): e0281114.

2022, Siegfried Müller, Raji Ghawi, Jürgen Pfeffer, "Identifying Power Elites in Massively Multiplayer Online Games by Applying Machine Learning to Communication and Support Networks". 
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 
 
2022, Cindarella Petz, Raji Ghawi, Jürgen Pfeffer, "Tracking the Evolution of Communities in a Social Network of Intellectual Influences". Journal of Historical Network Research
Vol. 7 No. 1 (2022): Regular Issue

2022, Wienke Strathern, Raji Ghawi, Mirco Schönfeld, Jürgen Pfeffer. "Identifying Lexical Change in Negative Word-of-Mouth on Social Media". Social Network Analysis and Mining 12, 59.

2022, Raji Ghawi and Jürgen Pfeffer, "Discovering Relational Implications in Multilayer Networks Using Formal Concept Analysis". Information Integration and Web Intelligence. iiWAS 2022. Lecture Notes in Computer Science, vol 13635. Springer, Cham. 

2022, Raji Ghawi and Jürgen Pfeffer, "Analysis of Country Mentions in the Debates of the UN Security Council". Information Integration and Web Intelligence. iiWAS 2022. Lecture Notes in Computer Science, vol 13635. Springer, Cham. 

2022, Anil Can Kara, Ivana Dobrijevic, Emre Öztas, Angelina Mooseder, Raji Ghawi, Jürgen Pfeffer. "Central Figures in the Climate Change Discussion on Twitter". Information Integration and Web Intelligence. iiWAS 2022. Lecture Notes in Computer Science, vol 13635. Springer, Cham. 

2022, Raji Ghawi and Jürgen Pfeffer, "A Community Matching based Approach to Measuring Layer Similarity in Multilayer Networks". Social Networks, 68:1–14, 2022.

2021, Bingqing Li,  Raji Ghawi, Jürgen Pfeffer. "What we Talk about when we Talk about Earth on Earth Day?". 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021), Linz, Austria (virtual).

2021, Raji Ghawi and Jürgen Pfeffer. "A Hybrid Thresholding Strategy combining RCut and PCut for Multi-label Classification". 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021), Linz, Austria (virtual).

2021, Raji Ghawi, Siegfried Müller, and Jürgen Pfeffer, "Improving Team Performance Prediction in MMOGs with Temporal Communication Networks", Social Network Analysis and Mining. 11, 65, 2021.

2021, Raji Ghawi, Cindarella Petz, and Jürgen Pfeffer, "Diffusion Dynamics of Influence in a Social Network of Intellectuals", Social Network Analysis and Mining. 11, 63, 2021.

2021: Wienke Strathern, Raji Ghawi, and Jürgen Pfeffer. "Advanced Statistical Analysis of Large-Scale Web-based Data". In Per Nymand-Andersen, editor, Data Science in Economics and Finance for Decision Makers. Risk Books.

2020: Wienke Strathern, Mirco Schönfeld, Raji Ghawi, and Jürgen Pfeffer. "Against the Others! Detecting Moral Outrage in Social Media Networks". IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Dec 7-10, The Hague, Netherlands (virtual).

2020: Siegfried Müller, Raji Ghawi, and Jürgen Pfeffer. "Using Communication Networks to Predict Team Performance in Massively Multiplayer Online Games". IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Dec 7-10, The Hague, Netherlands (virtual).

2020: Cindarella Petz, Raji Ghawi, and Jürgen Pfeffer. "A Longitudinal Analysis of a Social Network of Intellectual History". IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Dec 7-10, The Hague, Netherlands (virtual).

2020: Raji Ghawi, and Jürgen Pfeffer. "A Collaborative Filtering based Approach to Classify Movie Genres using User Ratings". Journal of Data Intelligence, Vol.1 No.4, Dec 2020.

2020: Raji Ghawi and Jürgen Pfeffer, "Extraction Patterns to Derive Social Networks from Linked Open Data Using SPARQL", Information 2020, 11(7), 361, July 2020.

2020: Raji Ghawi and Jürgen Pfeffer, "Characterizing Movie Genres using Formal Concept Analysis", 25th International Conference on Conceptual Structures (ICCS 2020), Bolzano, Italy, September 2020.

2019: Raji Ghawi and Jürgen Pfeffer, "Movie Genres Classification using Collaborative Filtering", 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019), Munich, Germany, December 2019.

2019: Raji Ghawi, Cindarella Petz and Jürgen Pfeffer, "'On the Shoulders of Giants', Analysis of a Social Network of Intellectual Influence", The Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS - 2019), Granada, Spain, October 2019.

2019: Raji Ghawi and Jürgen Pfeffer, "Tracking Changes in Dynamic Social Networks using Event Logs and Network Snapshots", The Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS - 2019), Granada, Spain, October 2019.

2019: Raji Ghawi, Mirco Schönfeld and Jürgen Pfeffer, "Extracting Ego-Centric Social Networks from Linked Open Data", the IEEE/WIC/ACM International Conference on Web Intelligence (WI’19), Thessaloniki, Greece, October 2019.

2019: Raji Ghawi and Jürgen Pfeffer,  "Efficient Hyperparameter Tuning with Grid Search for Text Categorization using kNN Approach with BM25 Similarity", Open Computer Science Journal, Topical Issue on Intelligent Methods for Textual Information Retrieval, July 2019.

2019: Raji Ghawi and Jürgen Pfeffer, "Mining Social Networks from Linked Open Data", 24th International Conference on Conceptual Structures (ICCS 2019), Marburg, Germany, July 2019.

2019: Raji Ghawi. "On Repairing Referential Integrity Constraints in Relational Databases", 15th International Conference: Beyond Databases, Architectures and Structures (BDAS 2019), Ustroń, Poland, May 2019.

2019: Raji Ghawi. "Interactive Decomposition of Relational Database Schemes using Recommendations", 15th International Conference: Beyond Databases, Architectures and Structures (BDAS 2019), Ustroń, Poland, May 2019.

2018: Raji Ghawi, Mirco Schönfeld, and Jürgen Pfeffer. "Towards Semantic-based Social Network Analysis"14th International IEEE Conference on Signal-Image Technologies and Internet-Based Systems (SITIS 2018). Las Palmas de Gran Canaria, Spain, November 2019.

Dr. Laura Mahrenbach

Office: B.365

Phone: 089/ 907793 – 201

E-mail: laura.mahrenbach@hfp.tum.de

Funding

German Research Foundation (DFG): "Conceptualizing Emerging Powers: The Role of Power, Money and Identity" (2017-2020)

Resume

Laura Mahrenbach has been working as a post-doctoral researcher at the Professorship of Computational Social Sciences and Big Data at the HfP/TUM since January 2017. Prior to this position, she worked as a post-doc at the Technical University of Dresden, an assistant professor at Curry College, a research associate at the Ruhr-University Bochum and a graduate assistant at Florida State University. She completed her Ph.D. at the Ruhr-University in 2011.

Laura’s research interests include emerging powers (especiall Brazil, India and China), global economic governance, big data and digitalization. How can we understand and explain these states’ changing role in global affairs and institutions? What are the implications for established powers, such as the United States? What role(s) do big data and digitalization play in their rise? And how can big data facilitate or hinder national development and international leadership aspirations?
 

Selected publications

2019: Mahrenbach, Laura C. "Conceptualizing Emerging Powers." In: Timothy M. Shaw, Laura C. Mahrenbach, Renu Modi, und Xu Yi-chong, Hrsg. The Palgrave Handbook of Contemporary International Political Economy. London: Palgrave Macmillan, 217-231.

2018: Mahrenbach, Laura C. "The Promises and Challenges of Digitalization and Development in Major Emerging Markets." Emerging Global Governance Essay. Collaboration of the Foreign Policy Institute (Johns Hopkins University/School of Advanced International Studies) with Global Policy.

2018: Mahrenbach, Laura C., Katja Mayer and Jürgen Pfeffer. "Policy Visions of Big Data: Views from the Global South." Third World Quarterly 39(10): 1861-1882.

2016: Mahrenbach, Laura C. "Domestic Politics, Emerging Powers and WTO Dispute Settlement Reform." International Negotiation 21(2): 233-266.

2015: Mahrenbach, Laura Carsten. "Deconstructing 'Emerging Powers' and 'Emerging Markets': India and the United States in Global Governance." India Quarterly 71(4): 348-364.

2013: Mahrenbach, Laura Carsten. The Trade Policy of Emerging Powers: Strategic Choices of Brazil and India. Basingstoke: Palgrave Macmillan.

Homepage

http://www.mahrenbach.com/

Dr. Angelina Voggenreiter

Office: B.365

E-Mail: angelina.voggenreiter@tum.de

Consultation hour: On Wednesdays, 11:00 a.m. - 12:00 p.m.

For an appointment please contact me in advance.

Angelina Voggenreiter (former Mooseder) is a post-doctoral researcher at the Chair of Computational Social Science at TUM. With an academic background in computer science (Dr. rer. nat.) and psychology (B.Sc.), Angelina studies human behaviour on Social Media. Her research topics range from online hate against women to political polarization, online drug communities,  mental health, and more. A special focus of her work lies on detecting and mitigating online risks and harm for children and adolescents.

Selected projects and publications

Instaclone - A lifelike Social-Media-Tool for Teaching Data literacy
https://info.instaclone.de/
https://tumthinktank.de/de/projekt/instaclone/

Bidt: Understanding, detecting, and mitigating online misogyny against politically active women
https://www.bidt.digital/forschungsprojekt/online-feindlichkeit-gegenueber-politisch-aktiven-frauen-verstehen-erkennen-und-entschaerfen/

Mooseder, Angelina & Malik, Momin & Lamba, Hemank & Erowid, Earth & Thyssen, Sylvia & Pfeffer, Jürgen  (2022). Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 675-686.
https://ojs.aaai.org/index.php/ICWSM/article/view/19325

Strathern, Wienke & Mooseder, Angelina & Pfeffer, Jürgen (2022). The Polarizing Impact of Continuous Presence on Users’ Behavior. Proceedings of the third MEDIATE Workshop (ICWSM 2022).
http://dx.doi.org/10.36190/2022.52

Pfeffer, Jürgen & Mooseder, Angelina & Hammer, Luca & Stritzel, Oliver & Garcia, David. (2022).  This Sample seems to be good enough! Assessing Coverage and Temporal Reliability of Twitter's Academic API. Preprint on
Arxiv: https://arxiv.org/abs/2204.02290