Social Computing Lab led by Jana Diesner
Network Analysis · Natural Language Processing · Human-Centered Data Science
Journal Publications | Conference Publications | Workshop Publications | Extended Abstracts | Book Chapters | Technical Reports | Other Selected Publications | Presentations at Sunbelt

Sort by year

Peer Reviewed Journal Papers

  1. Mishra, S., Fegley, B.D., Diesner, J., & Torvik, V.I. (2018). Self-citation is the hallmark of productive authors, of any gender. PLoS ONE, 13(9): e0195773. doi: 10.1371/journal.pone.0195773
  2. Kim, J., Diesner, J. (2017). Over-time measurement of triadic closure in coauthorship networks. Social Network Analysis and Mining (SNAM), 7(9). doi: 10.1007/s13278-017-0428-3
  3. Kim, J., Diesner, J. (2016). Distortive effects of initial-based name disambiguation on measurements of large-scale coauthorship networks. Journal of the Association for Information Science and Technology (JASIST), 67(6), 1446-1461. doi: 10.1002/asi.23489 (IF 2.322)
  4. Kim, J., Tao L., Lee, S.H., & Diesner, J. (2016). Evolution and structure of scientific co-publishing network in Korea during 1948-2011. Scientometrics, 107(1), 27-41. doi: 10.1007/s11192-016-1878-5 (IF 2.147)
  5. Kim, J., & Diesner, J. (2015). The effect of data pre-processing on understanding the evolution of collaboration networks. Journal of Informetrics, 9(1), 226-236. doi: 10.1016/j.joi.2015.01.002 (IF 2.920)
  6. Kim, J., & Diesner, J. (2015). Coauthorship networks: A directed network approach considering the order and number of coauthors. Journal of the Association for Information Science and Technology (JASIS&T), 66(12), 2685-2696. doi: 10.1002/asi.23361 (IF 2.322)
  7. Kim, J., Kim, H., & Diesner, J. (2014). The impact of name ambiguity on coauthorship network measurements. Journal of Information Science Theory and Practice, 2(2), 6-15. doi: 10.1633/JISTaP.2014.2.2.1
  8. Kim, J., & Diesner, J. (2014). A Network-based approach to coauthorship credit allocation. Scientometrics, 101(1), 587-602. doi: 10.1007/s11192-014-1253-3 (IF 2.147)
  9. van Holt, T., Johnson, J.C., Carley, K.M., Brinkley, J., & Diesner, J. (2013). Rapid ethnographic assessment for cultural mapping. Poetics, 41(4), 366-383. doi: 10.1016/j.poetic.2013.05.004 (IF 1.080)
  10. Diesner, J., Carley, K.M., & Tambayong, L. (2012). Mapping socio-cultural networks of Sudan from open-source, large-scale text data. Computational and Mathematical Organization Theory, 18(3), 328-339. doi: 10.1007/s10588-012-9126-x (IF 0.769)
  11. Chang Y., Diesner, J., & Carley, K.M. (2012). Towards automated definition acquisition from operations law. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(2), 223-232. doi: 10.1109/TSMCC.2011.2110643 (IF 2.35)
  12. Dabbish, L., Towne, B., Diesner, J., & Herbsleb, J. (2011). Construction of association networks from communication in teams working on complex projects. Statistical Analysis and Data Mining (SAM), Special Issue: Networks, 4(5), 547-563. doi: 10.1002/sam.10135
  13. Diesner, J., & Carley, K.M. (2008). Conditional random fields for entity extraction and ontological text coding. Computational and Mathematical Organization Theory, 14(3), 248-262. doi: 10.1007/s10588-008-9029-z (IF 0.769)
  14. Carley, K.M., Diesner, J., Reminga, J., & Tsvetovat, M. (2007). Toward an interoperable dynamic network analysis toolkit. Decision Support Systems (DSS), Special Issue: Cyberinfrastructure for Homeland Security: Advances in Information Sharing, Data Mining, and Collaboration Systems, 43(4), 1324-1347. doi: 10.1016/j.dss.2006.04.003
  15. Diesner, J., Frantz, T., & Carley, K.M. (2005). Communication networks from the Enron email corpus “It's always about the people Enron is no different”. Computational and Mathematical Organization Theory, 11(3), 201-228. doi: 10.1007/s10588-005-5377-0 (IF 0.769)
back to top

Invited Papers in Peer Reviewed Journals

  1. Diesner, J. (2015) Small decisions with big impact on data analytics. Big Data & Society, special issue on Assumptions of Sociality, 2(2). (invited paper) doi: 10.1177/2053951715617185
  2. Diesner, J., Kim, J., & Pak, S. (2014). Computational impact assessment of social justice documentaries. Journal of Electronic Publishing (JEP), special issue Metrics for Measuring Publishing Value: Alternative and Otherwise, 17(3). (invited paper). doi: 10.3998/3336451.0017.306
  3. Diesner, J. (2013). From Texts to Networks: Detecting and managing the impact of methodological choices for extracting network data from text data. Kuenstliche Intelligenz Journal (Artificial Intelligence), 27(1), 75-78. (invited paper). doi: 10.1007/s13218-012-0225-0
back to top

Peer Reviewed Conferences (full papers unless noted otherwise)

  1. Addawood, A., Alshamrani, A., Alqahtani, A., Diesner, J., & Broniatowski, D. (2018). Women's Driving in Saudi Arabia – Analyzing the Discussion of a Controversial Topic on Twitter. Short paper in International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2018), Washington, DC.
  2. Abdelzaher, T., Ayanian, N., Basar, T., Diggavi, S., Diesner, J., Ganesan, D., Govindan, R., Jha, S., Lepoint, T., Marlin, B., Nahrstedt, K., Nicol, D., Rajkumar, R., Russell, S., Seshia, S., Sha, F., Shenoy, P., Srivastava, M., Saukhatme, G., Swami, A., Tabuada, P., Towsley, D., Vaidya, N., & Veeravalli, V. (2018). Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT. Proceedings of 38th IEEE International Conference on Distributed Computing (ICDCS 2018), Vienna, Austria.
  3. Mishra, S., & Diesner J. (2018). Detecting the correlation between sentiment and user-level and text-level meta-data from benchmark corpora. Proceedings of 29th ACM Conference on Hypertext and Social Media (HT’18), Baltimore, MD. (Acceptance Rate = 29%). doi: 10.1145/3209542.3209562
  4. Rezapour, R., & Diesner, J. (2017). Classification and detection of micro-level impact of issue-focused films based on reviews. Proceedings of 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), (pp. 1419-1431), Portland, OR. doi: 10.1145/2998181.2998201
  5. Rezapour, R., Wang, L., Abdar, O., & Diesner, J. (2017). Identifying the overlap between election result and candidates’ ranking based on hashtag-enhanced, lexicon-based sentiment analysis. Proceedings of IEEE 11th International Conference on Semantic Computing (ICSC), (pp. 93-96), San Diego, CA. doi: 10.1109/ICSC.2017.92
  6. Jiang, M., & Diesner, J. (2016). Says Who...? Identification of critic versus layman reviews of documentary films. Proceedings of 26th International Conference on Computational Linguistics (COLING), (pp. 2122-2132), Osaka, Japan.
  7. Jiang, M., & Diesner, J. (2016). Issue-focused documentaries versus other films: rating and type prediction based on user-authored reviews. Proceedings of ACM Hypertext and Social Media, (pp. 225- 230), Halifax, Canada. doi: 10.1145/2914586.2914638
  8. Diesner, J., Rezapour, R., & Jiang, M. (2016). Assessing public awareness of social justice documentary films based on news coverage versus social media. iConference. Philadelphia, USA. doi: 10.9776/16305 (Acceptance Rate = 32%)
  9. Diesner, J., & Evans, C. (2015). Little bad concerns: Using sentiment analysis to assess structural balance in communication networks. Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Paris, France. doi: 10.1145/2808797.2809403 (Acceptance Rate = 13%)
  10. Mishra, S., & Diesner J. (2015). Sentiment analysis with incremental human-in-the-loop learning and lexical resource customization. Proceedings of ACM Hypertext and Social Media, (pp. 323-325), Cyprus. doi: 10.1145/2700171.2791022 (Acceptance Rate = 40%)
  11. Diesner, J., & Rezapour, R. (2015). Social computing for impact assessment of social change projects. In International Conference on Social Computing, Behavioral Modeling and Prediction (SBP 2015). Washington, DC. doi: 10.1007/978-3-319-16268-3_4 (Acceptance Rate = 25%)
  12. Al-Sabbagh, R., Girju, R., & Diesner, J. (2015). A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. In: A. Gelbukh (Ed.) In International Conference on Intelligent Text Processing and Computational Linguistics, (pp. 310-334). Springer, Cham. doi: 10.1007/978-3-319-18111-0_24 (Acceptance Rate = 28.9%)
  13. Diesner, J., Evans, C., & Kim, J. (2015). Impact of entity disambiguation errors on social network properties. Proceedings of International AAAI Conference on Web and Social Media (ICWSM), Oxford, UK. (Acceptance Rate = 20%)
  14. Mishra, S., Phelps, K., Agarwal, S., Picco, J., Guo, J., & Diesner, J. (2014). Enthusiasm and support: Alternative sentiment classification for social movements on social media. ACM Conference on Web Science. Bloomington, IN. doi: 10.1145/2615569.2615667
  15. Counts, S., De Choudhury, M., Diesner, J., Gilbert, E., Gonzalez, M., Keegan, B., Naaman, M., & Wallach, H. (2014). Computational social science: CSCW in the social media era. Proceedings of 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW), (pp. 105- 108). Baltimore, MD. doi: 10.1145/2556420.2556849 (Acceptance Rate = 27%)
  16. Diesner, J., Pak, S., Kim, J., Soltani, K., & Aleyasen, A. (2014). Computational assessment of the impact of social justice documentaries. iConference, Berlin, Germany. doi: 10.9776/14125 (Acceptance Rate = 32%)
  17. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). 3arif: A corpus of modern standard and Egyptian Arabic tweets annotated for epistemic modality using interactive crowdsourcing. Proceedings of 25th Conference on Computational Linguistics (COLING 2014), (pp. 1521-1532). Dublin, Ireland. (Acceptance Rate = 14%)
  18. Al-Sabbagh, R., Diesner, J., & Girju, R. (2013). Using the semantic-syntactic interface for reliable Arabic modality annotation. Proceedings of 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), (pp. 410-418). Nagoya, Japan. (Acceptance Rate = 20%)
  19. Efron, M., Diesner, J., Organisciak, P., Sherman, G., & Lucic, A. (2012). The University of Illinois' Graduate School of Library and Information Science at TREC 2012. Proceedings of Text REtrieval Conference (TREC). Gaithersburg, ML.
  20. Diesner, J., Tambayong, L., & Carley, K.M. (2010). Mapping socio-cultural networks of Sudan from open-source, large-scale text data. 29th Conference of Sudan Studies Association (SSA), Lafayette, IN, May 2010. [abstract]
  21. Diesner, J., & Carley, K.M. (2009). He says, she says. Pat says, Tricia says. How much reference resolution matters for entity extraction, relation extraction, and social network analysis? Proceedings of IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), (pp. 1- 8). Ottawa, Canada, July 2009. doi: 10.1109/CISDA.2009.5356530
  22. Landwehr, P., Diesner, J., & Carley, K.M. (2009). Words of Warcraft: a relational text analysis of quests in an MMORPG. Proceedings of Digital Games Research Association Conference (DiGRA). London, UK, September 2009.
  23. Diesner, J., & Carley, K.M. (2007). Conditional random fields for entity extraction and ontological text coding. North American Association for Computational Social and Organizational Science Conference (NAACSOS), Atlanta, GA , July 2007. doi: 10.1007/s10588-008-9029-z *Best Student Paper Award
  24. Lecy, J., Diesner, J., & Carley, K.M. (2006). Identification of knowledge groups from the Enron Email corpus. Proceedings of 56th Annual Conference of International Communication Association (ICA). Dresden, Germany, June 2006. (Acceptance Rate = 11%) [abstract]
  25. Diesner, J., Kumaraguru, P., & Carley, K.M. (2005). Mental models of data privacy and security extracted from interviews with Indians Proceedings of 55th Annual Conference of International Communication Association (ICA), New York, NY, May 2005. [abstract]
  26. Diesner, J., Carley, K.M. (2004). Using network text analysis to detect the organizational structure of covert networks. Proceedings of North American Association for Computational Social and Organizational Science Conference (NAACSOS). Pittsburgh, PA, July 2004.
  27. Carley, K.M., Diesner, J., Reminga, J., & Tsvetovat, M. (2004). An integrated approach to the collection and analysis of network data. Proceedings of North American Association for Computational Social and Organizational Science Conference (NAACSOS). Pittsburgh, PA, July 2004.
  28. Lewis, E.T., Diesner, J., & Carley, K.M. (2001). Using automated text analysis to study self-presentation strategies. Proceedings of Computational Analysis of Social and Organizational Systems Conference (CASOS), Pittsburgh, PA, July 2001.
back to top

Peer Reviewed Workshops/ Symposiums (full and short papers unless noted otherwise)

  1. Witt, A., Bopp, J., Fiedler, N., Steffen, D., Diesner, J., Rezapour, R., Raster, M., Wockenfuß, J., Köller, C. (2018). Impact of research for the non-academic community: A new classification scheme. Proceedings of the 1st Workshop on Computational Impact Detection from Text Data, 11th Language Resources and Evaluation Conference (LREC 2018), Miyazaki, Japan.
  2. Rai, A., Minsker, B., Diesner, J., Karahalios, K., & Sun, Y. (2018). Identification of landscape preferences by using social media analysis. Proceedings of the 3rd International Workshop on Social Sensing, ACM/IEEE International Conference on Internet of Things Design and Implementation 2018 (IoTDI 2018), Orlando, FL. doi: 10.1109/SocialSens.2018.00021
  3. Addawood, A., Rezapour, R., Abdar, O., & Diesner, J. (2017). Telling apart tweets associated with controversial versus non-controversial topics. Proceedings of 2nd Workshop on NLP and Computational Social Science (NLP+CSS) at 55th Annual Meeting of the Association for Computational Linguistics (ACL) (pp. 32-41). Vancouver, Canada.
  4. Mishra, S., & Diesner, J. (2016). Semi-supervised named entity recognition in noisy-text. 2nd Workshop on Noisy User-generated Text (W-NUT) at 26th International Conference on Computational Linguistics (COLING), Osaka, Japan.
  5. Diesner, J., & Chin, C. (2016). Seeing the forest for the trees: Considering applicable types of regulation for the responsible collection and analysis of human centered data. Human-Centered Data Science (HCDS) Workshop at 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016), San Francisco, CA.
  6. Diesner, J., & Chin, C. (2016). Gratis, libre, or something else? Regulations and misassumptions related to working with publicly available text data. ETHI-CA² Workshop (ETHics In Corpus Collection, Annotation & Application) at 10th Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia.
  7. Diesner, J., & Chin, C. (2015). Usable Ethics: Practical considerations for responsibly conducting research with social trace data. Workshop: Beyond IRBs: Ethical Review Processes for Big Data Research, Future of Privacy Forum, Washington DC.
  8. Kim, J., Aleyasen, A., Kim, H., Kim, H.M., & Diesner, J. (2014). Why name ambiguity resolution matters for scholarly big data research. International Workshop on Challenges & Issues on Scholarly Big Data Discovery and Collaboration, IEEE BigData, Washington DC. doi: 10.1109/BigData.2014.7004345.
  9. Diesner, J., Aleyasen, A., Mishra, S., Schecter, A., & Contractor N.S. (2014). Comparison of communication networks built from explicit and implicit data. Computational Approaches to Social Modeling (ChASM 2014), ACM WebScience Conference, Bloomington, IN.
  10. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). Interactive annotation for event modality in modern standard and Egyptian Arabic tweets. 8th Linguistic Annotation Workshop (LAW VIII 2014), 25th Conference on Computational Linguistics (COLING 2014), (pp. 139-148), Dublin, Ireland.
  11. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). Unsupervised construction of a lexicon and a pattern repository of arabic modal multiword expressions. Proceeding of the 10th Workshop on Multiword Expressions (MWE 2014), 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), (pp. 114-123), Gothenburg, Sweden.
  12. Diesner, J., & Carley, K.M. (2012). Impact of relation extraction methods from text data on network data and analysis results. Short paper at Words and Networks Workshop (WON), ACM Web Science Conference, Evanston, IL.
  13. Ahmed, S., & Diesner, J. (2012). Information network analysis to understand the evolution of online social networking sites in the context of India, Pakistan, and Bangladesh. Short paper at Words and Networks Workshop (WON), ACM Web Science Conference, Evanston, IL.
  14. Diesner, J., & Carley, K.M. (2010). A methodology for integrating network theory and topic modeling and its application to innovation diffusion. Workshop on Finding Synergies Between Texts and Networks, IEEE International Conference on Social Computing, (pp. 687-692), Minneapolis, MN, August 2010. doi: 10.1109/SocialCom.2010.106. *Best Workshop Paper Award
  15. Diesner, J., & Carley, K.M. (2005). Exploration of communication networks from the Enron Email corpus. Workshop on Link Analysis, Counterterrorism and Security, Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining, (pp. 3-14), Newport Beach, CA, April 2005.
back to top

Extended Abstracts

  1. Mishra, S., Lee, H., Kim, J., Torvik, V., & Diesner, J. (2018). Construction of hierarchical subject headings for computer science and their application to studying temporal trends in scholarly literature. Poster at 4th Annual International Conference on Computational Social Science (IC2S2), Evanston, IL.
  2. Dinh, L., & Diesner, J., (2018). Realizing the full potential of (infra-)structures for inter-agency communication before, during, and after disasters using the example of APAN (All Partners Access Network). Proceedings of 3rd International Workshop on Social Sensing, at ACM/IEEE International Conference on Internet of Things Design and Implementation 2018 (IoTDI 2018), Orlando, FL. doi: 10.1109/SocialSens.2018.00014
  3. Addawood, A., Rezapour, R., Mishra, S., Schneider, J., Diesner, J. (2017). Developing an information source lexicon. Presented in Workshop on Prioritising Online Content, the 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA.
  4. Evans, C., & Diesner, J. (2016). Mutual impact and stability of personal ethics and structural balance in a communication network over time. Poster at 2nd Annual International Conference on Computational Social Science (IC2S2), Evanston, IL.
  5. Evans C., Diesner, J., & Blake, C. (2015). Email data analysis as an alternate lens into historical events. Extended abstract HASTAC, East Lansing, MI.
  6. Diesner, J., Rezapour, R., & Pak, S. (2015). Comparative impact assessment of documentaries and related media. Extended abstract HASTAC, East Lansing, MI.
  7. Diesner, J. (2014). ConText: Software for the integrated analysis of text data and network data. Preconference Social and Semantic Networks in Communication Research, Conference of International Communication Association (ICA), Seattle, WA.
  8. Diesner, J., Kim, J., & Higgings, A. (2014). Socio-semantic network analysis for impact assessment. Abstract European Social Networks Conference (EUSN), Barcelona, Spain.
  9. Diesner, J. (2014). Computational assessment of the impact of social justice documentaries. Extended abstract HASTAC, Lima, Peru.
  10. Diesner, J., Aleyasen, A., Kim, J., Mishra, S., & Soltani, S. (2013). Using socio-semantic network analysis for assessing the impact of documentaries. Extended abstract WIN (Workshop on Information in Networks), New York, NY.
  11. Diesner, J., & Carley, K.M. (2010). Extension of supervised machine learning system to extract socio- technical networks about the Sudan from open source text data. Women in Machine Learning (WiML) Workshop in conjunction with NIPS, Vancouver, Canada.
  12. Diesner, J., & Carley, K.M. (2009). WYSIWII - What You See Is What It Is: Informed approximation of relational data from texts. General Online Research (GOR) Conference, Vienna, Austria, April 2009. [abstract]
  13. Carley, K.M., Frantz, T., & Diesner, J. (2006). Social and knowledge networks from large scale databases. 56th Conference of International Communication Association (ICA), Dresden, Germany, June 2006. [abstract]
back to top

Book Chapters

  1. Diesner, J., Chin, C., & Smith, M. A. (2018). Combining online social networks with text analysis. In: R. Alhajj & J. Rokne (Eds.), Encyclopedia of social network analysis and mining. Springer. doi: 10.1007/978-1-4939-7131-2_328. (Updated version based on Diesner, J., & Smith, M. (2014). Combining online maps with text analysis. In R. Alhajj, J. Rokne (Eds.) Encyclopedia of social network analysis and mining (pp. 202-206). Springer. doi: 10.1007/978-1-4614-6170-8_328)
  2. Gloor, P., & Diesner, J. (2018). Semantic social networks. In R. Alhajj, J. Rokne (Eds.), Encyclopedia of social network analysis and mining. Springer. doi: 10.1007/978-1-4939-7131-2_90. (Updated version based on Gloor, P., & Diesner, J. (2014). Semantic social networks. In R. Alhajj, J. Rokne (Eds.), Encyclopedia of social network analysis and mining (pp. 1654-1659). Springer. doi: 10.1007/978-1-4614-6170-8_90)
  3. Diesner, J. (2015). Words and networks: How reliable are network data constructed from text data? In E. Bertino & S. A. Matai (Eds.), Roles, trust, and reputation in social media knowledge markets (pp. 81-89). Springer. doi: 10.1007/978-3-319-05467-4_5
  4. Diesner, J., Mergel, I., & Carley, K.M. (2011). Network analysis software. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 595-598). Sage.
  5. Diesner, J., & Carley, K.M. (2011). Semantic networks. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 767-769). Sage.
  6. Diesner, J., & Carley, K.M. (2011). Words and networks. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 958-961). Sage.
  7. Diesner, J., & Carley, K.M. (2010). Relation extraction from texts (in German: Extraktion relationaler daten aus texten). In C. Stegbauer & R. Häußling (Eds.), Handbook network research (Handbuch Netzwerkforschung) (pp. 507 -521). VS Verlag.
  8. Diesner, J., & Carley, K.M. (2010). Relational methods for analyzing and preventing crime (in German: Relationale verfahren in der erforschung, ermittlung und prävention von kriminalität). In C. Stegbauer & R. Häußling (Eds.), Handbook network research (Handbuch netzwerkforschung) (pp. 725-738). VS Verlag.
  9. Weil, S.A., Foster, P., Freeman, J., Carley, K.M., Diesner. J., Cooke, N.J., & Shope, S. (2008). Converging approaches to automated communications-based assessment of team situation awareness. In M. P. Letsky, N.W. Warner, S. M. Flore & C. A. P. Smith (Eds.), Macrocognition in teams: Theories and methodologies (pp. 277–304). Ashgate.
  10. Diesner, J., & Carley, K.M. (2005). Revealing social structure from texts: Meta-matrix text analysis as a novel method for network text analysis. In V. K. Narayanan & D. J. Armstrong (Eds.), Causal mapping for information systems and technology research (pp. 81-108). Idea Group.
back to top

Technical Reports

  1. Lewis, E.T., Carley, K.M., & Diesner, J. (2016). Displaying responsiveness or asserting identity in organizational language: how concept networks capture rhetorical strategies (Technical Report CMU-ISR-16-111). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  2. Diesner, J. (2012). Uncovering and managing the impact of methodological choices for the computational construction of socio-technical networks from texts (Technical Report CMU-ISR-12-101). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research. (PhD thesis)
  3. Carley, K.M., Diesner, J., DeReno, M., Columbus, D., Bigrigg, M., Kunkel, F., . . . Altman, M. (2009, 2008, 2007, 2006). AutoMap user’s guide (Technical Reports CMU-ISR-09-114, CMU-ISR-08-123, CMU-ISRI-07-114, CMU-ISRI-06-114). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  4. Diesner, J., & Carley, K. M. (2008). Looking under the hood of stochastic part of speech taggers (Technical Report CMU-ISR-08-131R). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  5. Frantz, T. L., Carley, K. M., & Diesner, J. (2005). An Automated Methodology for Conducting a Social Network Study of a University Faculty (Technical Report CMU-ISRI-05-106). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, , Institute for Software Research International.
  6. Tsvetovat, M., Diesner, J., & Carley, K. M. (2004). NetIntel: A Database for Manipulation of Rich Social Network Data (Technical Report CMU-ISRI-04-135). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research International.
  7. Diesner, J., & Carley, K. M. (2004). AutoMap1.2 - Extract, analyze, represent, and compare mental models from texts (Technical Report CMU-ISRI-04-100). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research International.
back to top

Selected Other Papers and Presentations (not peer reviewed)

  1. Shen, H., & Diesner, J. (2014). Semantic network analysis of the public discourse on censorship in China. National Communication Association 100th Annual Conference, Chicago, IL.
  2. Carley, K.M., Diesner, J., McCulloh, I., Martin, M., & Kunkel, F. (2008). Technologies for distilling and investigating relational data from unstructured text data. Poster at US Army Research Laboratory (ARL) Advanced Decision Architectures Consortium Meeting, Boulder, CO.
  3. Diesner, J. (2008). Computer science in numbers: Diversity and Employment. Presentation at Carnegie Mellon University, Pittsburgh, PA.
  4. Weil, S.A., Carley, K.M., Diesner, J., Freeman, J., & Cooke, N.J. (2006). Measuring situational awareness through analysis of communications: A preliminary exercise. Proceedings of Command and Control Research and Technology Symposium, San Diego, CA.
back to top

Presentations at International Sunbelt Social Network Conference (not peer reviewed)

  1. Diesner, J., Jiang, M. & Narisetti, S. (2018). Reliable construction of semantic networks based on text data and measurement of effects in text-based networks.
  2. Evans, C., & Diesner, J. (2016). Interplay between personal morals with tie and cluster formation in a corporate communication networks.
  3. Diesner, J., & Pak, S. (2015). Contextualization and validation of networks extracted from text data.
  4. Diesner, J., Kim, J., & Pak, S. (2014). Socio-semantic network analysis for impact assessment of documentaries.
  5. Kim, J., & Diesner, J. (2014). Structure of scientific collaboration: Considering the order of co-authors for co-authorship networks.
  6. Soltani, K., & Diesner, J. (2014). Improved visualization of multi-mode networks that entail geo-coded entities.
  7. Wilner, S., Aleyasen, A., Mishra, S., Soltani, K., & Diesner, J. (2014). Comparison of network data constructed from text data and textual meta-data.
  8. Diesner, J., & Carley, K.M. (2013). Error propagation and robustness of relation extraction methods.
  9. Kim, J., & Diesner, J. (2013). Structural balance in story structures.
  10. Diesner, J., & Carley, K.M. (2012). Impact of methods for relation extraction from text data on network analysis results.
  11. Diesner, J., & Carley, K.M. (2011). Extraction and validation of socio-technical network data about the Sudan from text corpora.
  12. Diesner, J., & Carley, K.M. (2010). Computational integration of network theory and topic modeling for investigating the relationship between socio-technical networks and innovation in the EU.
  13. Mergel, I., Diesner, J., & Carley, K.M. (2010). Attention networks among members of congress.
  14. Stuetzer, C., Diesner, J., Carley, K.M., Koehler, T., & Thiem, G. (2010). Identifying and integrating social roles and structural for the case of collaborative e-learning environments.
  15. Diesner J., Carley, K. M., & Katzmair, H. (2008). He says, she says - Identity and polarization in communication networks of an organization in crisis.
  16. McConville, E., Diesner, J., & Carley, K.M. (2008). AutoMap software demonstration.
  17. Diesner, J., Carley, K. M., Katzmair, H. (2007). The morphology of a breakdown. How the semantics and mechanics of communication networks from an organization in crisis relate.
  18. Diesner, J., Pfeffer, J., & Katzmair, H. (2006). Evaluating scientific classification systems by bottom-up clustering of abstracts using semantic network analysis.
  19. Diesner, J., & Carley, K. M. (2005). Revealing and comparing the organizational structure of covert networks with network text analysis.
  20. Carley, K. M., Frantz, T., Diesner, J., & Davis, G. (2005). Groups: surface and deep structure.
  21. Lewis, E.T., Carley, K. M., & Diesner, J. (2003). Concept networks in organizational language: consensus or creativity?
  22. Lewis, E.T., Diesner, J., & Carley, K. M. (2002). Using network analysis to extract and analyze self- presentation strategies in texts.
back to top