Network text analysis of conceptual overlap in interviews, newspaper articles and keywords

Social Network Analysis and Mining

Volumn 3, Issue 4, 2013, Pages 1165-1177

  Martin, Michael K ^a   Pfeffer, Juergen ^a   Carley, Kathleen M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Interviews; Keywords; Meta network analysis; Network text analysis; News articles; Text mining

Indexed keywords

DATA MINING; SEMANTICS;

INTERVIEWS; KEYWORDS; NEWS ARTICLES; TEXT ANALYSIS; TEXT MINING;

NEWSPRINT;

EID: 84947286903     PISSN: 18695450     EISSN: 18695469     Source Type: Journal    
DOI: 10.1007/s13278-013-0129-5     Document Type: Article

References (52)

1. Althaus SL, Edy JA, Phalen PF (2001) Using substitutes for full-text news stories in content analysis: which text is best? Am J Polit Sci 45(3):707–723
2. Althaus SL, Swigger N, Chernykh S, Hendry DJ, Wals SC, Tiwald C (2011) Assumed transmission in political science: a call for bringing description back in. J Polit 73(4):1065–1080
3. Barranco J, Wisler D (1999) Validity and systematicity of newspaper data in event analysis. Eur Sociol Rev 15(3):301–322
4. Baur N (2011) Mixing process-generated data in market sociology. Qual Quant 45:1233–1251
5. Bearman P, Stovel K (2000) Becoming a Nazi: a model for narrative networks. Poet 27(2–3):69–90
6. Bengston DN, Reed DP, Fan P, Goldhor-Wilcock A et al (2011) Rapid issue tracking: a method for taking the pulse of the public discussion of environmental policy. Environ Commun J Nat Cult 3(3):367–385
7. Bernard HR, Pelto PJ, Werner O, Boster J, Romney AK, Johnson A, Ember CR, Kasakoff A (1986) The construction of primary data in cultural anthropology. Curr Anthropol 27(4):382–396
8. Biroscak BJ, Smith PK, Post LA (2006) A practical approach to public health surveillance of violent deaths related to intimate partner relationships. Public Heal Rep 121(4):393–399
9. Bonacich P (1972) Factoring and weighting approaches to status scores and clique identification. J Math Sociol 2:113–120
10. Brier A, Hopp B (2011) Computer assisted text analysis in social science. Qual Quant 45:103–128
11. Carley KM (1993) Coding choices for textual analysis: a comparison of content analysis and map analysis. Sociol Methodol 23:75–126
12. Carley KM (1997a) Network text analysis: the network position of concepts. In: Roberts C (ed) Text analysis for the social sciences. Lawerence Erlbaum Associates, Mahwah, NJ 79-100
13. Carley KM (1997b) Extracting team mental models through textual Analysis. J Organ Behav 18:533–538
14. Carley KM (2002) Smart agents and organizations of the future. In: Lievrouw LA, Livingstone S (eds) The handbook of new media. Sage Pubn Inc, Thousand Oaks
15. Carley KM, Columbus D, Azoulay A (2012a) AutoMap user’s guide 2012. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report, CMU-ISR-12-106
16. Carley KM, Bigrigg MW, Diallo B (2012b) Data-to-model: a mixed initiative approach for rapid ethnographic assessment. Comput Math Organ Theory (in press)
17. Chua AYK, Razikin K, Goh DH (2011) Social tags as news event detectors. J Inf Sci 37(1):3–18
18. Cucchiarelli A, D’Antonio F, Velardi P (2012) Semantically interconnected social networks. Soc Netw Anal Min 2(1):69–95
19. Davenport C, Ball P (2002) Views to a kill: exploring the implications of source selection in the case of Guatemalan state terror, 1977–1995. J Confl Resol 46(3):427–450
20. Deacon D (2007) Yesterday’s papers and today’s technology: digital newspaper archives and ‘push button’ content analysis. Eur J Commun 22(1):5–25
21. Diesner J, Carley KM (2005). Revealing social structure from texts: meta-matrix text analysis as a novel method for network text analysis. In: Narayanan VK, Armstrong DJ (eds) Causal mapping for information systems and technology research. Idea Group Publishing, Harrisburg
22. Diesner J, Carley KM (2008) Conditional random fields for entity extraction and ontological text coding. Comput Math Organ Theory 14:248–262
23. Diesner J, Carley KM (2010). Mapping socio-cultural networks of Sudan from open-source, large-scale text data. In: Proceedings of the 29th annual conference of the Sudan Studies Association, West Lafayette, May 2010
24. Dixon-Woods M, Seale C, Young B, Findlay M, Heney D (2003) Representing childhood cancer: accounts from newspapers and parents. Sociol Health Illn 25(2):143–164
25. Earl J, Martin A, McCarthy JD, Soule SA (2004) The use of newspaper data in the study of collective action. Annu Rev Sociol 30:65–80
26. Fan W, Wallace L, Rich S, Zhang Z (2006) Tapping the power of text mining. Commun ACM 49(9):77–82
27. Franzosi R (1987) The press as a source of socio-historical data: issues in the methodology of data collection from newspapers. Hist Methods 20:5–16
28. Freeman LC (1977) A set of measures of centrality based on betweenness. Sociometry 40:35–41
29. Freeman LC (1979) Centrality in social networks: conceptual clarification. Soc Netw 1:215–239
30. Gupta A (1995) Blurred boundaries: the discourse of corruption, the culture of politics, and the imagined state. Am Ethnol 22(2):375–402
31. Hakam J (2009) The “cartoons controversy”: a critical discourse analysis of English-language Arabic newspaper discourse. Discourse Soc 20(1):33–57
32. Hanneman RA, Shelton CR (2010) Applying modality and equivalence concepts to pattern finding in social process-produced data. Soc Netw Anal Min 1(1):59–72
33. Jin Y, Lin CY, Matsuo Y, Ishizuka M (2012) Mining dynamic social networks from public news articles for company value prediction. Soc Netw Anal Min 2(3):217–228
34. Johnson RB, Onwuegbuzie AJ, Turner LA (2007) Toward a definition of mixed methods research. J Mix Methods Res 1(2):112–133
35. Kas M, Carley KM, Carley LR (2012) Trends in science networks: understanding structures and statistics of scientific networks. Soc Netw Anal Min 2(2):169–187
36. Kirilenko A, Stepchenkova S, Romsdahl R, Mattis K (2012) Computer-assisted analysis of public discourse: a case study of the precautionary principle in the US and UK press. Qual Quan 46:501–522
37. McCall RB, Appelbaum MI (1991) Some issues of conducting secondary analyses. Dev Psychol 27(6):911–917
38. Mingers J (2003) The paucity of multimethod research: a review of the information systems literature. Inf Syst J 13:233–249
39. Oliver PE, Myer DT (1999) How events enter the public sphere: conflict, location, and sponsorship in local newspaper coverage of public events. Am J Sociol 105(1):38–87
40. Pfeffer J, Carley KM (2012a) Rapid modeling and analyzing networks extracted from pre-structured news articles. Comput Math Organ Theory. doi:10.1007/s10588-012-9122-1
41. Pfeffer J, Carley KM (2012b) Social NEtworks, social media, social change. In: Proceedings of the 2nd international conference on cross-cultural decision making: focus 2012, San Francisco
42. Popping R (2003) Knowledge graphs and network text analysis. Soc Sci Inf 42(1):91–106
43. Ready J, White MD, Fisher C (2006) Shock value: a comparative analysis of news reports and official police records on TASER deployments. Policing An Int J Police Strateg Manag 32(1):148–170
44. Roberts CW (2000) A conceptual framework for quantitative text analysis: on joining probabilities and substantive inferences about texts. Qual Quan 34:259–274
45. Sandelowski M, Voils CI, Knafl G (2009) On quantizing. J Mix Methods Res 3(3):208–222
46. Small ML (2011) How to conduct a mixed methods study: recent trends in a rapidly growing literature. Annu Rev Sociol 37:57–86
47. Snyder D, Kelly WR (1977) Conflict intensity, media sensitivity and the validity of newspaper data. Am Sociol Rev 42(1):105–123
48. Tremblay MC, Berndt DJ, Luther, Foulis SL, French DD et al (2009) Identifying fall-related injuries: text mining the electronic medical record. Inf Technol Manag 10:253–265
49. Watts D, Strogatz S (1998) Collective dynamics of small world networks. Nat 393:440–442
50. Weaver DA, Bimber B (2008) Finding news stories: a comparison of searches using LexisNexis and Google. Journalism Mass Commun Q 85(3):515–530
51. Weiner M (2009) Elite versus grassroots: disjunctures between parents’ and civil rights organizations demands for New York City’s public schools. Sociol Q 50(1):89–119
52. Woolley JT (2000) Using media-based data in studies of politics. Am J Political Sci 44(1):156–173