DOCSLIB.ORG

Social Network Analysis on Wisconsin Archival Facebook Community Jennifer Stevenson University of Wisconsin-Milwaukee

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Social Network Analysis on Wisconsin Archival Facebook Community Jennifer Stevenson University of Wisconsin-Milwaukee University of Wisconsin Milwaukee UWM Digital Commons Theses and Dissertations August 2017 Social Network Analysis on Wisconsin Archival Facebook Community Jennifer Stevenson University of Wisconsin-Milwaukee Follow this and additional works at: https://dc.uwm.edu/etd Part of the Library and Information Science Commons, and the Statistics and Probability Commons Recommended Citation Stevenson, Jennifer, "Social Network Analysis on Wisconsin Archival Facebook Community" (2017). Theses and Dissertations. 1704. https://dc.uwm.edu/etd/1704 This Dissertation is brought to you for free and open access by UWM Digital Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of UWM Digital Commons. For more information, please contact [email protected]. SOCIAL NETWORK ANALYSIS ON WISCONSIN ARCHIVAL FACEBOOK COMMUNITY by Jennifer Ann Stevenson A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Information Studies at The University of Wisconsin-Milwaukee August 2017 ABSTRACT SOCIAL NETWORK ANALYSIS ON WISCONSIN ARCHIVAL FACEBOOK COMMUNITY by Jennifer A. Stevenson The University of Wisconsin-Milwaukee, 2017 Under the Supervision of Professor Jin Zhang The purpose of this study was to understand how Wisconsin archives are using Facebook (Wisconson archives Facebook community, WAFC). Few archive studies use quantitative measurements to draw conclusions from social media application use. Quantitative data is needed in order to identify the various ways that social media is being used in an archive. Without the data behind the assumptions, it is impossible to improve service and outreach to the archive users. This study proposed a mixed methods approach to aid in the process, using social network analysis, inferential statistics and thematic analysis. This study measured the effects of implementation of social media in areas of archives in order to begin to identify and evaluate social media for future use by the archive community. These methods provide a better understanding of archives’ use of social media, thus enabling researchers and practitioners with a foundational point to continue research. Social networks allow individuals to connect with individuals and groups with whom they share common interests either personally or professionally. Four research questions and six hypotheses were developed to determine the main actors, the role of the actors, content of each online activity (‘tagging’, ‘sharing’, ‘commenting’, and ‘liking’), and post characteristics. Unique findings of this study were found regarding the information flow of the WAFC and the content. For instance, the research questions determined that archives are a central hub within the WAFC; however, other affiliations like cultural ii institutions and universities are other contributors to the information flow. Four different themes were discovered by the thematic analysis: archive story, communication, information, and outreach. These findings have theoretical, methodological, and practical implications. iii © Copyright by Jennifer A. Stevenson, 2017 All Rights Reserved iv To my husband, Chris. Thank you. I won the lottery when I met you. You are the best thing that has ever happened to me. To my advisor Jin, words cannot fully describe the gratitude I have for your many years of guidance. Your lessons taught me much more than just learning statistics and quantitative methods. These lessons have helped me achieve so much. To my committee members, Dr. Joanne Evans, Dr. Donald Force, Dr. Dietmar Wolfram, and Dr. Iris Xie, thank you for your support and constant guidance throughout the writing and research process. According to Rachel Carson, “In nature nothing exists alone.” These words are also true for completing a dissertation. Thank you to my gizibes: Ann Graf and Inkyung Choi. My dearest friends Jackie Babe and Lauren Gaines. To my family, my sister Alyssa Stevenski, sister-in-law Brianna Stevenski, and my parents. And the entirety of the Treml family, thank you for your countless support. A special thanks to my constant companions over the years: Charles, Oscar, Gabby K., Gaspar, and P. Madison. Thank you to my AERI writing group. Your words from afar were always supportive and encouraging. There are many others who have offered support along the way, both friends and family, thank you. v TABLE OF CONTENTS LIST OF FIGURES ................................................................................................................... xi LIST OF TABLES .................................................................................................................... xii LIST OF EQUATIONS ........................................................................................................... xiii CHAPER I INTRODUCTION .........................................................................................................................1 1.0 Problem, Research questions, & Hypotheses ...................................................................4 1.1 Research problem..............................................................................................................4 1.2 Research questions ............................................................................................................6 1.2.1 Research question 1 (RQ1) ...............................................................................................6 1.2.2 Research question 2 (RQ2) ...............................................................................................9 1.2.3 Research question 3 (RQ3) .............................................................................................10 1.2.4 Research question 4 (RQ4) .............................................................................................11 1.3 Hypotheses ......................................................................................................................11 1.3.1 Hypothesis Group 1 ........................................................................................................12 1.3.2 Hypothesis Group 2 ........................................................................................................13 1.3.3 Hypothesis Group 3 ........................................................................................................14 1.3.4 Hypothesis Group 4 ........................................................................................................15 1.4 Rationale of research.......................................................................................................16 1.5.1 Social media ....................................................................................................................18 1.5.2 Social media & Archives ................................................................................................21 1.6 Definitions & Concepts...................................................................................................25 1.7 Significance.....................................................................................................................38 1.7.1 Theoretical significance ..................................................................................................39 1.7.2 Methodological significance ...........................................................................................40 1.7.3 Practical significance ......................................................................................................42 1.8 Research design ..............................................................................................................44 1.8.1 Social network analysis...................................................................................................44 1.8.2 Thematic analysis............................................................................................................45 1.8.3 Inferential statistics .........................................................................................................46 1.9 Summary .........................................................................................................................47 vi CHAPTER II LITERATURE REVIEW .......................................................................................................49 2.1 Archives ..........................................................................................................................50 2.1.1 Digital Archival Outreach & Engagement ......................................................................52 2.2 Social media ....................................................................................................................56 2.2.1 Facebook ...........................................................................................................................59 2.2.1.1 Like ................................................................................................................................59 2.2.1.2 Share ..............................................................................................................................60 2.2.1.3 Comment ........................................................................................................................62 2.2.1.4 Tag .................................................................................................................................63 2.2.2 Social media & Library & Information science ..............................................................65
Load more

Recommended publications
  • Creating & Connecting: Research and Guidelines on Online Social
    CREATING & CONNECTING//Research and Guidelines on Online Social — and Educational — Networking NATIONAL SCHOOL BOARDS ASSOCIATION CONTENTS Creating & Connecting//The Positives . Page 1 Online social networking Creating & Connecting//The Gaps . Page 4 is now so deeply embedded in the lifestyles of tweens and teens that Creating & Connecting//Expectations it rivals television for their atten- and Interests . Page 7 tion, according to a new study Striking a Balance//Guidance and Recommendations from Grunwald Associates LLC for School Board Members . Page 8 conducted in cooperation with the National School Boards Association. Nine- to 17-year-olds report spending almost as much time About the Study using social networking services This study was made possible with generous support and Web sites as they spend from Microsoft, News Corporation and Verizon. watching television. Among teens, The study was comprised of three surveys: an that amounts to about 9 hours a online survey of 1,277 nine- to 17-year-old students, an online survey of 1,039 parents and telephone inter- week on social networking activi- views with 250 school district leaders who make deci- ties, compared to about 10 hours sions on Internet policy. Grunwald Associates LLC, an a week watching TV. independent research and consulting firm that has conducted highly respected surveys on educator and Students are hardly passive family technology use since 1995, formulated and couch potatoes online. Beyond directed the study. Hypothesis Group managed the basic communications, many stu- field research. Tom de Boor and Li Kramer Halpern of dents engage in highly creative Grunwald Associates LLC provided guidance through- out the study and led the analysis.
    [Show full text]
  • Opportunities and Challenges for Standardization in Mobile Social Networks
    Opportunities and Challenges for Standardization in Mobile Social Networks Laurent-Walter Goix, Telecom Italia [email protected] Bryan Sullivan, AT&T [email protected] Abstract This paper describes the opportunities and challenges related to the standardization of interoperable “Mobile Social Networks”. Challenges addressed include the effect of social networks on resource usage, the need for social network federation, and the needs for a standards context. The concept of Mobile Federated Social Networks as defined in the OMA SNEW specification is introduced as an approach to some of these challenges. Further specific needs and opportunities in standards and developer support for mobile social apps are described, including potentially further work in support of regulatory requirements. Finally, we conclude that a common standard is needed for making mobile social networks interoperable, while addressing privacy concerns from users & institutions as well as the differentiations of service providers. 1 INTRODUCTION Online Social Networks (OSN) are dominated by Walled Gardens that have attracted users by offering new paradigms of communication / content exchange that better fit their modern lifestyle. Issues are emerging related to data ownership, privacy and identity management and some institutions such as the European Commission have started to provide measures for controlling this. The impressive access to OSN from ever smarter mobile devices, as well as the growth of mobile- specific SN services (e.g. WhatsApp) have further stimulated the mobile industry that is already starving for new attractive services (RCS 1). In this context OMA 2 as mobile industry forum has recently promoted the SNEW specifications that can leverage network services such as user identity and native interoperability of mobile networks (the approach promoted by “federated social networks”).
    [Show full text]
  • Chazen Society Fellow Interest Paper Orkut V. Facebook: the Battle for Brazil
    Chazen Society Fellow Interest Paper Orkut v. Facebook: The Battle for Brazil LAUREN FRASCA MBA ’10 When it comes to stereotypes about Brazilians – that they are a fun-loving people who love to dance samba, wear tiny bathing suits, and raise their pro soccer players to the levels of demi-gods – only one, the idea that they hold human connection in high esteem, seems to be born out by concrete data. Brazilians are among the savviest social networkers in the world, by almost all engagement measures. Nearly 80 percent of Internet users in Brazil (a group itself expected to grow by almost 50 percent over the next three years1) are engaged in social networking – a global high. And these users are highly active, logging an average of 6.3 hours on social networks and 1,220 page views per month per Internet user – a rate second only to Russia, and almost double the worldwide average of 3.7 hours.2 It is precisely this broad, highly engaged audience that makes Brazil the hotly contested ground it is today, with the dominant social networking Web site, Google’s Orkut, facing stiff competition from Facebook, the leading aggregate Web site worldwide. Social Network Services Though social networking Web sites would appear to be tools born of the 21st century, they have existed since even the earliest days of Internet-enabled home computing. Starting with bulletin board services in the early 1980s (accessed over a phone line with a modem), users and creators of these Web sites grew increasingly sophisticated, launching communities such as The WELL (1985), Geocities (1994), and Tripod (1995).
    [Show full text]
  • 2010 Nonprofit Social Network Benchmark Report
    April 2010 Nonprofit Social Network Benchmark Report www.nonprofitsocialnetworksurvey.com www.nten.org www.commonknow.com www.theport.com Introduction NTEN, Common Knowledge, and ThePort Network offer this second annual installment of the Nonprofit Social Networking Benchmark Report. This report’s objective is to provide nonprofits with insights and trends surrounding social networking technology as part of nonprofit organizations’ marketing, communications, fundraising, and program house social network services. Social networking community built on Between February 3 and March 15, 2010, a nonprofit’s own 1,173 nonprofit professionals responded to website. Term derived a survey about their organization’s use of from direct mail online social networks. house lists. Two groups of questions were posed to survey participants: commercial 1. Tells us about your use of commercial social network social networks such as Facebook, Twitter, An online community LinkedIn, and others. owned and operated by a corporation. 2. Tell us about your work building and Popular examples using social networks on your own include Facebook and websites, called house social networks . MySpace. Survey respondents represented small, medium and large nonprofits and all nonprofit segments: Arts & Culture, Association, Education, Environment & Animals, Health & Healthcare, Human Services, International, Public & Societal Benefit, Religious and others (See Appendix A for more details). www.nonprofitsocialnetworksurvey.com 1 Executive Summary Commercial Social Networks Nonprofits continued to increase their use of commercial social networks over 2009 and early 2010 with Facebook and Twitter proving to be the preferred networks. LinkedIn and YouTube held steady, but MySpace lost significant ground. The following are the key excerpts from this section: • Facebook is still used by more nonprofits than any other commercial social network with 86% of nonprofits indicating that they have a presence on this network.
    [Show full text]
  • Social Networks Influence Analysis
    University of North Florida UNF Digital Commons UNF Graduate Theses and Dissertations Student Scholarship 2017 Social Networks Influence Analysis Doaa Gamal University of North Florida, [email protected] Follow this and additional works at: https://digitalcommons.unf.edu/etd Part of the Computer Sciences Commons Suggested Citation Gamal, Doaa, "Social Networks Influence Analysis" (2017). UNF Graduate Theses and Dissertations. 723. https://digitalcommons.unf.edu/etd/723 This Master's Thesis is brought to you for free and open access by the Student Scholarship at UNF Digital Commons. It has been accepted for inclusion in UNF Graduate Theses and Dissertations by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects. © 2017 All Rights Reserved SOCIAL NETWORKS INFLUENCE ANALYSIS by Doaa H. Gamal A thesis submitted to the School of Computing in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences UNIVERSITY OF NORTH FLORIDA SCHOOL OF COMPUTING Spring, 2017 Copyright (©) 2017 by Doaa H. Gamal All rights reserved. Reproduction in whole or in part in any form requires the prior written permission of Doaa H. Gamal or designated representative. ii This thesis titled “Social Networks Influence Analysis” submitted by Doaa H. Gamal in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences has been Approved by the thesis committee: Date Dr. Karthikeyan Umapathy Thesis Advisor and Committee Chairperson Dr. Lakshmi Goel Dr. Sandeep Reddivari Accepted for the School of Computing: Dr. Sherif A. Elfayoumy Director of the School Accepted for the College of Computing, Engineering, and Construction: Dr.
    [Show full text]
  • Delay of Social Search on Small-World Graphs ⋆
    ⋆ Delay of Social Search on Small-world Graphs Hazer Inaltekin a,∗ Mung Chiang b H. Vincent Poor b aThe University of Melbourne, Melbourne, VIC 3010, Australia bPrinceton University, Princeton, NJ 08544, United States Abstract This paper introduces an analytical framework for two small-world network models, and studies the delay of targeted social search by considering messages traveling between source and tar- get individuals in these networks. In particular, by considering graphs constructed on different network domains, such as rectangular, circular and spherical network domains, analytical solu- tions for the average social search delay and the delay distribution are obtained as a function of source-target separation, distribution of the number of long-range connections and geometri- cal properties of network domains. Derived analytical formulas are first verified by agent-based simulations, and then compared with empirical observations in small-world experiments. Our formulas indicate that individuals tend to communicate with one another only through their short-range contacts, and the average social search delay rises linearly, when the separation between the source and target is small. As this separation increases, long-range connections are more commonly used, and the average social search delay rapidly saturates to a constant value and stays almost the same for all large values of the separation. These results are qual- itatively consistent with experimental observations made by Travers and Milgram in 1969 as well as by others. Moreover, analytical distributions predicted by our models for the delay of social search are also compared with corresponding empirical distributions, and good statistical matches between them are observed.
    [Show full text]
  • Vol. 11 No. 4 – Fall 2017
    Arkansas Military History Journal A Publication of the Arkansas National Guard Museum, Inc. Vol. 11 Fall 2017 No. 4 BOARD OF DIRECTORS Chairman Brigadier General John O. Payne Ex-Officio Vice Chairman Major General (Ret) Kendall Penn Ex-Officio Secretary Dr. Raymond D. Screws (Non-Voting) Ex-Officio Treasurer Colonel Damon N. Cluck Board Members Ex-Officio. Major Marden Hueter Ex-Officio. Captain Barry Owens At Large – Lieutenant Colonel (Ret) Clement J. Papineau, Jr. At Large – Chief Master Sergeant Melvin E. McElyea At Large – Major Sharetta Glover CPT William Shannon (Non-Voting Consultant) Lieutenant Colonel Matthew Anderson (Non-Voting Consultant) Deanna Holdcraft (Non-Voting Consultant) Museum Staff Dr. Raymond D. Screws, Director/Journal Editor Erica McGraw, Museum Assistant, Journal Layout & Design Incorporated 27 June 1989 Arkansas Non-profit Corporation Cover Photograph: The Hempstead Rifles, a volunteer militia company of the 8th Arkansas Militia Regiment,Hempstead County Table of Contents Message from the Editor ........................................................................................................ 4 The Arkansas Militia in the Civil War ...................................................................................... 5 By COL Damon Cluck The Impact of World War II on the State of Arkansas ............................................................ 25 Hannah McConnell Featured Artifact: 155 mm C, Model of 1917 Schneider ....................................................... 29 By LTC Matthew W. Anderson Message from the Editor The previous two issues of the journal focused on WWI and Camp Pike to coincide with the centennial of the United States entry into the First World War and the construction of the Post now known as Camp Pike. In the coming year, commemoration of the Great War will still be important, with the centennial of the Armistice on 11 November 2018.
    [Show full text]
  • Social Network Analysis with Content and Graphs
    SOCIAL NETWORK ANALYSIS WITH CONTENT AND GRAPHS Social Network Analysis with Content and Graphs William M. Campbell, Charlie K. Dagli, and Clifford J. Weinstein Social network analysis has undergone a As a consequence of changing economic renaissance with the ubiquity and quantity of » and social realities, the increased availability of large-scale, real-world sociographic data content from social media, web pages, and has ushered in a new era of research and sensors. This content is a rich data source for development in social network analysis. The quantity of constructing and analyzing social networks, but content-based data created every day by traditional and social media, sensors, and mobile devices provides great its enormity and unstructured nature also present opportunities and unique challenges for the automatic multiple challenges. Work at Lincoln Laboratory analysis, prediction, and summarization in the era of what is addressing the problems in constructing has been dubbed “Big Data.” Lincoln Laboratory has been networks from unstructured data, analyzing the investigating approaches for computational social network analysis that focus on three areas: constructing social net- community structure of a network, and inferring works, analyzing the structure and dynamics of a com- information from networks. Graph analytics munity, and developing inferences from social networks. have proven to be valuable tools in solving these Network construction from general, real-world data presents several unexpected challenges owing to the data challenges. Through the use of these tools, domains themselves, e.g., information extraction and pre- Laboratory researchers have achieved promising processing, and to the data structures used for knowledge results on real-world data.
    [Show full text]
  • Soc C167 – Virtual Communities and Social Media
    Soc C167 – Virtual Communities and Social Media University of California, Berkeley Tuesdays and Thursdays, 8:00am-9:30am 245 Li Ka Shing Instructor: Edwin Lin, Fall 2018 Instructor: Edwin Lin Email: [email protected] Office Hours: 487 Barrows Hall, Tuesdays 10am-1pm or by appointment Sign-up for regular OH at http://www.wejoinin.com/sheets/icwie Reader’s information will be posted on bCourses. Overview of Course Content: With the explosion of virtual communities and social media, technology and its effect on society has become a daily reality, invading all areas and aspects of our social lives. This ranges from pop culture, sports, and entertainment to political participation, sexual intimacy, and family. Everyone taking this course has some exposure to virtual communities and social media—even if one is unaware of the extent and depth of this exposure in their lives. As a result, this course is not about discovering new ideas and never-before-seen concepts, but rather providing some tools and perspectives to understand aspects of society that we are somewhat familiar with. Put another way, this course seeks to understand a growing aspect of our society through a different lens of understanding. Explicitly, the goals of this course are: 1) to provide a survey of subfields in social media research, 2) to expose you to what social science research looks like in these subfields, and 3) to provide a space for you to reflect and personally interact with what virtual communities and social media means in your own life. Email Policy: I am usually very good about answering emails, but please leave at least 2 days for me to get to you, especially over the weekend (I may not get to you until Monday/Tuesday).
    [Show full text]
  • Social Networks IZA Dpno
    IZA DP No. 4621 Social Networks Joan de Martí Yves Zenou December 2009 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Social Networks Joan de Martí Universitat Pompeu Fabra and Barcelona GSE Yves Zenou Stockholm University, IFN and IZA Discussion Paper No. 4621 December 2009 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. IZA Discussion Paper No. 4621 December 2009 ABSTRACT Social Networks We survey the literature on social networks by putting together the economics, sociological and physics/applied mathematics approaches, showing their similarities and differences.
    [Show full text]
  • 168 Kansas History Báxoje in Blue: Ioway Soldiers in the Union Army by Greg Olson
    An 1869 photograph of Iowa chiefs taken in Washington, D.C. Kansas History: A Journal of the Central Plains 40 (Autumn 2017): 168-185 168 Kansas History Báxoje in Blue: Ioway Soldiers in the Union Army by Greg Olson n 1864, there were seventy-eight men between the ages of twenty and forty-five listed on the rolls of the Ioway Nation. Of that number, fifty, or nearly two-thirds, had volunteered to serve in the Union army during the Civil War. 1 Sixteen Ioway men enlisted in the Thirteenth Kansas Volunteer Infantry in 1862, and thirty-two joined the Fourteenth Kansas Volunteer Cavalry in 1863. Seven more joined various other units in Kansas, Missouri, and Nebraska. During the war, Ioway soldiers saw action in Tennessee, Arkansas, Kansas, Missouri, and the Indian Territory.2 IAlthough the Ioways were certainly not the only Indigenous Americans to serve in the military during the war, the circumstances of their enlistment and their experiences in the army were different from those of most other Native American soldiers in the Trans-Mississippi West. Most Native men served in segregated units, but all fifty Ioways served in integrated units. This article seeks to investigate why the Ioways had the opportunity to serve in regular companies with white men. It also explores the Ioways’ military experiences and addresses some of the obvious questions raised by their willingness to enlist in the army. One wonders, for example, why the Ioways, who had been frustrated by six decades of contentious relations with the United States, chose to send two-thirds of their able-bodied men to fight for the federal government.
    [Show full text]
  • Arkansas Historical Quarterly Index T
    Arkansas Historical Quarterly Index 1942-2000 Taggit, William, Johnson Co., 9:22. T Tahchee, painting of, 59(2):cover Tahlequah (steamer), 14:64, 24:325, 25:148 T. J. Raney High School, Little Rock, 30:113, 117, Tahlequah, Okla., 40:40n, 56n 55:46 Tahlequah Cherokee Advocate, 36:20 Taaffe, Fanny, Rocky Comfort, 14:226n Tahlonteskee. See Talantuskey Taaffe, George (father of James K.), Rocky Comfort, Takahtokuh. See Takatoka 14:226 Ta-ka-tau-ka. See Takatoka Taaffe, George (son of James K.), Rocky Comfort, Takatoka (Cherokee leader; variously Takahtokuh, Ta- 14:226 ka-tau-ka, Tick-E-Toke, Tike-e-Toke), 3:134, Taaffe, James (son of James K.), Rocky Comfort, 13:346, 23:150, 36:23, 58:85, 91, 58:405, 14:226–27 408 Taaffe, James K., Rocky Comfort, 14:226–27, 16:221 "Taken by Surprise," by Elizabeth Jacoway, 55:28 Taaffe, Jane Lemons Smith (first wife of James K. Taking off the White Gloves, by Catherine Clinton and Taaffe), 14:226 Michele Gillespie, revd., 58:451–53 Taaffe, Jesse, Rocky Comfort, 14:227 Talantuskey (Cherokee leader; variously Tahlonteskee, Taaffe, John, Rocky Comfort, 14:226n Tol-on-tus-ky, Tolluntuskee, Tulentuskey), Taaffe, Joseph, Rocky Comfort, 14:226 3:125, 128, 12:344, 23:137, 150, 153, Taaffe, Mary (second wife of James K. Taaffe), 14:226– 56:130, 155, 58:404–5, 408 27 Talbot, Dr. (Bishop of Neb.), 2:196 Tabasqueflo (Mex. steamship), 38:333 Talbot, Anna Rieves, Gilmore, 44:221 Tabler, Marshall, of Ben Lomond, 3:241 Talbot, J. H., Pine Bluff, 37:244 Table Rock Dam, White River, 4:151, 28:83 Talbot, James B.
    [Show full text]