SlideShare a Scribd company logo
1 of 31
The evolution of lobbying coalitionsCo-filing behavior in FCC docket 01-92 on Inter-carrier Compensation Work in progress, 9/30/2009 Pierre de Vries, Economic Policy Research CenterUniversity of Washington, Seattle
Acknowledgements Bill Cline and ElhadjiSy (FCC), for providing the underlying public data in a usable form Marc Smith and Tony Capone, for developing and supporting the NodeXL visualization tool Jonathan Banks and Anthony Jones (USTelecom), for help in extracting the “et al.” data, and Risa Pavia (UW) for help in creating the fix list
Conclusions Graph-theory clusters representreal-world alliances Tracking the evolution of clusters can reveal shifts in alliances Improving ECFS interfaces and data quality will improve public knowledge of lobbying activity
Co-filing Analysis Metadata from FCC ECFS database, FCC docket 01-92, April 2001 –December 2008  2,9015 filings, 756 unique filers Subsidiaries and “doing business as” entities are usually grouped together e.g. Cable and Wireless plc, Cable & Wireless, Cable and Wireless USA, Cable & Wireless North America.  But for some large players, kept parts separate, e.g. Verizon and Verizon Wireless; AT&T and AT&T Wireless Sub-set of FCC docket 01-92 where two or more entities file together Entities that only filed on their own are not shown Used either metadata given as multiple entity names, or extracted entities from filed documents where “et al.” or “filed on behalf of” given in metadata Trade associations and coalitions have not been unpacked into their constituents Sometimes distorts data, e.g. AT&T is represented both on its own account and hidden within the “Missoula Plan Supporters” node Coalitions unpacked: Oregon Rural LECs, Five State Regulatory Commissions, Coalition for Rational Universal Service and Intercarrier Reform Companyname changes on acquisition/merger not accounted for:  Frontier Communications Corporation was formerly known as Citizens Communications Corporation Don’t distinguish between “old” and “new” AT&T, or Verizon before and after MCI merge
Filing intensity varies over time FNPRM issued 11/5/08 Responses (10/25/2006) to FCC PN  (issued 7/25/06) on Missoula Plan (filed 6/24/06)  FNPRM comments (5/23/05) FNPRM reply comments (10/20/05) NPRM comments (8/21/01) Reply comments (11/05/01) Responses (10/18/02) to T-Mo et al Petition for Declaratory Ruling  (filed 9/6/02)
Links between 01-92 and other dockets Petition of AT&T for interim declaratory ruling and limited waivers pleading cycle established IMPLEMENTATION OF THE LOCAL COMPETITION PROVISIONS IN THE TELECOMMUNICATIONS ACT OF 1996 In the Matter of Establishing Just and Reasonable Rates for Local Exchange Carriers FEDERAL-STATE JOINT BOARD ON UNIVERSAL SERVICE In the Matter of Universal Service Contribution Methodology Federal-State Joint Board on Universal Service 1998 Biennial Regulatory Review ACCESS CHARGE REFORM In the Matter of Inter-Carrier Compensation for ISP-Bound Traffic In the Matter of Federal -State Joint Board on Universal Service High-Cost Universal Service Support Numbering Resource Optimization In the Matter of IP-Enabled Services In the Matter of Lifeline and Link-Up Request Petition for Declaratory Ruling that AT&T's Phone-to-Phone IP Telephony Services are Exempt from Access Charges All linked dockets 2001-2008, filtered:  Sub-graphs level 1.5 centered on 01-92 (i.e. all nodes linked to 01-92, and links between them) edge weight >40 (dockets on either side of the edge were noted together on a filing more than 40 times) Edge width and color both indicate edge weight: wider/pinker means more joint mentions
Companies typically either always file solo, or always jointly 498 entities always filed alone, e.g. BellSouth,  NARUC 152 entities always filed with someone else, e.g. Broadview,  Maine PUC 25 entities filed with others in 40%-60% of cases, e.g. tw telecom,  Pac-West Solo filers excluded from co-filing analysis
Links between Filers If the names of A and filer B both appear on a particular filing… … they are treated as being linked Filed on Date 1 Filed on Date 1 A B A B A B The more often they file together… … the darker the line connecting them (think of the lines being stacked one on another) Filed on Date 3 Filed on Date 2 A B A B A B A B A B
Different co-filing occurrences… … lead to a network structure Filed on Date 1 Filed on Date 3 A B A B B A B C C So far the graphs looked at all filings simultaneously. Looking at a sequence of dates shows different links at different times: Filed on Date 2 Date 1 Date 3 Date 2 A B A B A B A B A B C C C C Deriving a Network Structure
The area of the blob is proportional to the total number of  filings made over the whole period (solo or joint) Additional node attributes (1): Size AT&T filed many times (big blob), whereas PointOne filed seldom (small blob).  However, one can see that they’re roughly equally linked to other filers. That means that AT&T filed more often on its own.
The more pink a blob is, the more important the filer is in the network. The color represents the “eigenvector centrality”.  A filer with high eigenvector centrality is connected to many filers who are themselves connected to many others.  This  “centrality metric”  goes beyond simply counting the number of connections a filer has; connections to filers who are themselves highly connected confer more influence that connections to less well connected filers. Google’s PageRank algorithm is a variant of this metric; a page is considered important if many other important pages link to it. Additional node attributes (2): Color ,[object Object]
GCI, CompTel, and  NCTA  filed the same number of times (same size), but CompTel is the more influential (pinker), and GCI less (bluer)
Even though CTIA filed often (big blob) it’s not very influential/connected in this network (blue color),[object Object]
Nodes are laid out (by hand) to respect clustering Clusters calculated using Clauset Newman Moore (2004) algorithm (Wakita & Tsurumi 2007 optimization) to find community structure, gathering vertices into groups such that there is a higher density of connections within groups than between them
A Time Series Underlying data set has day-by-day granularity; these snapshots are integrated over much longer periods
2001-2002 CLEC reply comments to NPRM T-Mobile et al petition for declaratory ruling
2003-2004 CLECs’ “Cost-Based Intercarrier Compensation Coalition” (CBICC) Intercarrier Compensation Forum, filed ICF Plan 5 Oct 2004 “Indep. Wireless Carriers”: T-Mobile, W Wireless, Dobson “CMRS Petitioners”: T-Mobile, W Wireless, Nextel
2005 – summer 2006 CLECs Major CLECs – FNPRM comments & replies CLECs, some eventually merging e.g. Lightship, CTC, Conversent; and Xspedius & tw telecom Rural  LECs and their associations
Fall 2006 – end 2007 Missoula Plan Allies Missoula Plan Opponents: Mix of CLECs, ILECs and Indep. Wireless Oregon Rural LECs, supporting Missoula Plan
Jan – July 2008 The calm before the storm
Aug/Sep 2008 ILEC/IXC coalition: Ex parte advocating federalizing VOIP,  uniform comp rate for all traffic CLECs opposing   Verizon’s September 12 proposal, incl. uniform rate
Oct 2008 Five State regulatory commissions objecting to “eleventh hour filings” Small ILECs trying to slow down process Broadening CLEC coalition opposing change towards flat rate Mid-size rural LECs opposing flat rate comp, supporting status quo OPASTCO/WTA Plan
Nov/Dec 2008 “Coalition for Rational Universal Service and Intercarrier Reform” – urban & rural CLECs Opposition to AT&T/IXC “self-help” from small LEC and conf-call players Rural cellular – note they’re closer to the CLECs than the RLECs
Summary of Coalition Patterns Opponents are connected: ILECs, CLECs, and cellular Rural LECs and their associations keep to themselves
Top 20 Impact Depends on Chosen Metric CLECs not only band together, but also file a lot, and often. NTCA carries the water for RLECs * Filers that appear in three or more columns are color coded
Observations Graph clusters seem to correspond to real-world interests A large number of filings form one large connected graph (the blob in the center) It’s connected in aggregate over the whole time series: shifting alliances In the course of the proceeding, one can find a link between opposing parties e.g. a proponent of the “Missoula Plan” like AT&T is linked to an opponent like XO via both of them co-filing with the CTIA at different dates (“Six Degrees of Kevin Bacon”) There are many parties that only co-file once or twice Most of them are pairs There are a few large groups of co-filers that show up only once in the record, and aren’t seen before or after Frequent Filers are usually different from Cross-Connectors Frequent filers like AT&T, CTIA and NTCA don’t often file in coalition Connectors that bridge alliances (e.g. Hypercube, iBasis) don’t file all that often Some fall in both groups, e.g. XO and Cavalier
Value of the approach Insiders can use graphs to identify: detailed trends at a glance potential collaborators or defectors, e.g. by looking for coalition members who are bridges between groups, or peripheral Outsiders can grasp the overall structure of a proceeding without having to read the entire record News organizations can use: cluster evolution to show changes in coalitions network structure to guide understanding of search results
Implications for FCC Poor quality of information input by filers impedes transparency Endless misspellings of company names Not all entities involved in a filing are listed Filers make mistakes (e.g. mistyping docket number) but can’t remove mistakes; they simply file again Require more information in metadata Require all entities names to appear in the Filed on Behalf Of field, i.e. “et al.” not allowed Distinguish between ex parte letters and meetings Use standard web techniques to facilitate data input and retrieval Require log-in with company ID when submitting data to ECFS Require filer name to be registered; subsequently metadata can only be chosen from pre-registered information, not added de novo Offer drop-downs and auto-complete to add co-filers Provide web interfaces for downloading data in bulk, and as daily feeds Improve systems for correcting errors Allow filers to remove incorrect data (only filer can remove what was filed) Penalize errors, e.g. by naming and shaming Invest in cleaning up old data: requires public/private effort?
Caveats Graph depends on metadata entered into ECFS by filers, which can be unreliable misspellings (e.g. ATT for AT&T)  inaccuracy (e.g. a filing attributed to AT&T was actually on behalf of a number of companies, and so is not counted as a co-filing) ambiguity (e.g. there are many companies whose name includes “Citizens”, and they all seem to be different)
Some Bad Data Examples BellSouth: BellSouth Coration BellSouth Corpm BellSouth Corps  BellSouth D.C.  BellSouth TELECOMMUN  BellSouth TELECOMMUNIC  BellSouth TELECOMMUNICA  BellSouth TELECOMMUNICAT  BellSouth TELECOMMUNICATI  BellSouth Telecommunication  BellSouth Cellular CORPOR  Misspellings of “Communications”: Comminication Commnications Communictions Commuications Commuincations Communcations COMMUNIATIONS  Communicaitions COMMUNICAITONS  Communicatiions Communicatins Communicationas Communicationsn COMMUNICCATIONS  Communictions Communocations Comunications Coommunications Cummunications California PUC: CALIFORNIA PUBLIC UTILIL  CALIFORNIA PUBLIC UTILIT  CALIFORNIA PUBLIC UTILITE  California Public Utilites Commission  CALIFORNIA PUBLIC UTILITI  California Public Utilities  CALIFORNIA PUBLIC UTILITIES COMMISSION  California Public Utilities Commission - 99-204  California Public Utilities Commission and People of the State of California  California Public Utiltiies Commission  Calilfornia Public Utilities Commission  Commissioners Lynch and Wood, California Public Utilities Commission  People for the State of California and Ca. Public Utilities Commission  People for the State of California and Cal. Public Utilities Commission  People for the State of California and California Public Utilities Commission People of the State of California & Public Utilities Commission  People of the State of California and Cal. Public Utilities Commission  People of the State of California and California  People of the State of California and California Public Utilities Commission  People of the State of California and Public Utilities Commission  People of the State of California and the Cal Public Utilities Commissoin People of the State of California and the California Public Utilities Commission  Public Utilities Commission of the State of California  State of California and the California Public Utilities Commission  State of California Public Utilities Commission  The People of the State of California and by proxy for CPUC  The People of the State of California by proxy for CPUC
Caveat (ctd): Coalitions are Understated Analysis puts a lower bound on connectivity Some connections are not revealed  through co-filing; entities may be linked, e.g. through participation in a trade association, but not file together explicitly Co-filing is undercounted since we rely on the metadata entered into ECFS. Sometimes just one company name given, even though there multiple companies involved, or a list of company names may not include all filers.  (This data can be obtained from the underlying document, but at the price of significantly more effort.) This analysis deals with only one docket; companies may co-file more frequently  on other dockets

More Related Content

Similar to Evolution of Lobbying Coalitions in FCC Docket 01-92

TFTN GIS Pro in Orlando
TFTN GIS Pro in OrlandoTFTN GIS Pro in Orlando
TFTN GIS Pro in OrlandoKSI Koniag
 
EvolutionArticle2011
EvolutionArticle2011EvolutionArticle2011
EvolutionArticle2011Raoul De Sota
 
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...Richard Whitt - Presentation at Emerging Communications Conference & Awards (...
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...eCommConf
 
Mosley Executive Summary Comcast Aquistion
Mosley Executive Summary Comcast Aquistion Mosley Executive Summary Comcast Aquistion
Mosley Executive Summary Comcast Aquistion Briana Mosley
 
The data traffic and data warehouses store managing and controlling
The data traffic and data warehouses store managing and controllingThe data traffic and data warehouses store managing and controlling
The data traffic and data warehouses store managing and controllingAlexander Decker
 
D E C E M B E R 2 0 0 8E D I T E D B Y D L A P I P E R.docx
D E C E M B E R  2 0 0 8E D I T E D  B Y  D L A  P I P E R.docxD E C E M B E R  2 0 0 8E D I T E D  B Y  D L A  P I P E R.docx
D E C E M B E R 2 0 0 8E D I T E D B Y D L A P I P E R.docxalanrgibson41217
 
Broadband Around the World final
Broadband Around the World finalBroadband Around the World final
Broadband Around the World finalJennifer Terry
 
Anticipated areas of electricity innovation to watch in 2017
Anticipated areas of electricity innovation to watch in 2017Anticipated areas of electricity innovation to watch in 2017
Anticipated areas of electricity innovation to watch in 2017Haim R. Branisteanu
 
The Radio Reference.com_Styleguide
The Radio Reference.com_StyleguideThe Radio Reference.com_Styleguide
The Radio Reference.com_StyleguideRon Wilbanks
 
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docx
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docxNEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docx
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docxcurwenmichaela
 
Shifting the Understanding of Lobbyist Revolving Doors
Shifting the Understanding of Lobbyist Revolving DoorsShifting the Understanding of Lobbyist Revolving Doors
Shifting the Understanding of Lobbyist Revolving DoorsJohn Jameson
 
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...Frances Armijo
 
NET NEUTRALITY
NET NEUTRALITYNET NEUTRALITY
NET NEUTRALITYMavis Osei
 
Real Life. Live -- When Government Acts More Like the People It Serves
Real Life. Live -- When Government Acts More Like the People It ServesReal Life. Live -- When Government Acts More Like the People It Serves
Real Life. Live -- When Government Acts More Like the People It ServesNIC Inc | EGOV
 
Universal service a new definition james alleman, paul rappoport, aniruddha...
Universal service a new definition   james alleman, paul rappoport, aniruddha...Universal service a new definition   james alleman, paul rappoport, aniruddha...
Universal service a new definition james alleman, paul rappoport, aniruddha...ACORN-REDECOM
 

Similar to Evolution of Lobbying Coalitions in FCC Docket 01-92 (20)

Polinter10
Polinter10Polinter10
Polinter10
 
Polinter10
Polinter10Polinter10
Polinter10
 
TFTN GIS Pro in Orlando
TFTN GIS Pro in OrlandoTFTN GIS Pro in Orlando
TFTN GIS Pro in Orlando
 
EvolutionArticle2011
EvolutionArticle2011EvolutionArticle2011
EvolutionArticle2011
 
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...Richard Whitt - Presentation at Emerging Communications Conference & Awards (...
Richard Whitt - Presentation at Emerging Communications Conference & Awards (...
 
Mosley Executive Summary Comcast Aquistion
Mosley Executive Summary Comcast Aquistion Mosley Executive Summary Comcast Aquistion
Mosley Executive Summary Comcast Aquistion
 
The data traffic and data warehouses store managing and controlling
The data traffic and data warehouses store managing and controllingThe data traffic and data warehouses store managing and controlling
The data traffic and data warehouses store managing and controlling
 
Net neutrality
Net neutralityNet neutrality
Net neutrality
 
Savannah Smith
Savannah Smith Savannah Smith
Savannah Smith
 
D E C E M B E R 2 0 0 8E D I T E D B Y D L A P I P E R.docx
D E C E M B E R  2 0 0 8E D I T E D  B Y  D L A  P I P E R.docxD E C E M B E R  2 0 0 8E D I T E D  B Y  D L A  P I P E R.docx
D E C E M B E R 2 0 0 8E D I T E D B Y D L A P I P E R.docx
 
Broadband Around the World final
Broadband Around the World finalBroadband Around the World final
Broadband Around the World final
 
Anticipated areas of electricity innovation to watch in 2017
Anticipated areas of electricity innovation to watch in 2017Anticipated areas of electricity innovation to watch in 2017
Anticipated areas of electricity innovation to watch in 2017
 
The Radio Reference.com_Styleguide
The Radio Reference.com_StyleguideThe Radio Reference.com_Styleguide
The Radio Reference.com_Styleguide
 
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docx
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docxNEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docx
NEWSWHAT’S NEW NOWWhy 2015 May Be the Year We Solve Ne.docx
 
Shifting the Understanding of Lobbyist Revolving Doors
Shifting the Understanding of Lobbyist Revolving DoorsShifting the Understanding of Lobbyist Revolving Doors
Shifting the Understanding of Lobbyist Revolving Doors
 
Data Journalism for Business Reporting
Data Journalism for Business ReportingData Journalism for Business Reporting
Data Journalism for Business Reporting
 
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...
50 Argument Essay Topics. Argumentative essay topics From the Best Writing Co...
 
NET NEUTRALITY
NET NEUTRALITYNET NEUTRALITY
NET NEUTRALITY
 
Real Life. Live -- When Government Acts More Like the People It Serves
Real Life. Live -- When Government Acts More Like the People It ServesReal Life. Live -- When Government Acts More Like the People It Serves
Real Life. Live -- When Government Acts More Like the People It Serves
 
Universal service a new definition james alleman, paul rappoport, aniruddha...
Universal service a new definition   james alleman, paul rappoport, aniruddha...Universal service a new definition   james alleman, paul rappoport, aniruddha...
Universal service a new definition james alleman, paul rappoport, aniruddha...
 

More from Pierre de Vries

Measurement Procedures for Design and Enforcement of Harm Claim Thresholds
Measurement Procedures for Design and Enforcement of Harm Claim ThresholdsMeasurement Procedures for Design and Enforcement of Harm Claim Thresholds
Measurement Procedures for Design and Enforcement of Harm Claim ThresholdsPierre de Vries
 
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...Risk-informed Interference Analysis: Putting spectrum allocation decisions ...
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...Pierre de Vries
 
Three Spectrum Reforms - Johannesberg Summit 2014
Three Spectrum Reforms - Johannesberg Summit 2014Three Spectrum Reforms - Johannesberg Summit 2014
Three Spectrum Reforms - Johannesberg Summit 2014Pierre de Vries
 
2012 11-13 = sfc roundtable interference limits
2012 11-13 = sfc roundtable interference limits2012 11-13 = sfc roundtable interference limits
2012 11-13 = sfc roundtable interference limitsPierre de Vries
 
Cross allocation interference diagrams
Cross allocation interference diagramsCross allocation interference diagrams
Cross allocation interference diagramsPierre de Vries
 
How I learned to Stop Worrying and Love Interference
How I learned to Stop Worrying and Love InterferenceHow I learned to Stop Worrying and Love Interference
How I learned to Stop Worrying and Love InterferencePierre de Vries
 
Damasio consciousness model
Damasio consciousness modelDamasio consciousness model
Damasio consciousness modelPierre de Vries
 
New ICT Governance and the Resilience Principles
New ICT Governance and the Resilience PrinciplesNew ICT Governance and the Resilience Principles
New ICT Governance and the Resilience PrinciplesPierre de Vries
 

More from Pierre de Vries (9)

Measurement Procedures for Design and Enforcement of Harm Claim Thresholds
Measurement Procedures for Design and Enforcement of Harm Claim ThresholdsMeasurement Procedures for Design and Enforcement of Harm Claim Thresholds
Measurement Procedures for Design and Enforcement of Harm Claim Thresholds
 
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...Risk-informed Interference Analysis: Putting spectrum allocation decisions ...
Risk-informed Interference Analysis: Putting spectrum allocation decisions ...
 
Three Spectrum Reforms - Johannesberg Summit 2014
Three Spectrum Reforms - Johannesberg Summit 2014Three Spectrum Reforms - Johannesberg Summit 2014
Three Spectrum Reforms - Johannesberg Summit 2014
 
2012 11-13 = sfc roundtable interference limits
2012 11-13 = sfc roundtable interference limits2012 11-13 = sfc roundtable interference limits
2012 11-13 = sfc roundtable interference limits
 
Cross allocation interference diagrams
Cross allocation interference diagramsCross allocation interference diagrams
Cross allocation interference diagrams
 
How I learned to Stop Worrying and Love Interference
How I learned to Stop Worrying and Love InterferenceHow I learned to Stop Worrying and Love Interference
How I learned to Stop Worrying and Love Interference
 
Damasio consciousness model
Damasio consciousness modelDamasio consciousness model
Damasio consciousness model
 
New ICT Governance and the Resilience Principles
New ICT Governance and the Resilience PrinciplesNew ICT Governance and the Resilience Principles
New ICT Governance and the Resilience Principles
 
01 92 Filings Over Time
01 92 Filings Over Time01 92 Filings Over Time
01 92 Filings Over Time
 

Recently uploaded

Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Hyundai Motor Group
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 

Recently uploaded (20)

Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2Next-generation AAM aircraft unveiled by Supernal, S-A2
Next-generation AAM aircraft unveiled by Supernal, S-A2
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 

Evolution of Lobbying Coalitions in FCC Docket 01-92

  • 1. The evolution of lobbying coalitionsCo-filing behavior in FCC docket 01-92 on Inter-carrier Compensation Work in progress, 9/30/2009 Pierre de Vries, Economic Policy Research CenterUniversity of Washington, Seattle
  • 2. Acknowledgements Bill Cline and ElhadjiSy (FCC), for providing the underlying public data in a usable form Marc Smith and Tony Capone, for developing and supporting the NodeXL visualization tool Jonathan Banks and Anthony Jones (USTelecom), for help in extracting the “et al.” data, and Risa Pavia (UW) for help in creating the fix list
  • 3. Conclusions Graph-theory clusters representreal-world alliances Tracking the evolution of clusters can reveal shifts in alliances Improving ECFS interfaces and data quality will improve public knowledge of lobbying activity
  • 4. Co-filing Analysis Metadata from FCC ECFS database, FCC docket 01-92, April 2001 –December 2008 2,9015 filings, 756 unique filers Subsidiaries and “doing business as” entities are usually grouped together e.g. Cable and Wireless plc, Cable & Wireless, Cable and Wireless USA, Cable & Wireless North America. But for some large players, kept parts separate, e.g. Verizon and Verizon Wireless; AT&T and AT&T Wireless Sub-set of FCC docket 01-92 where two or more entities file together Entities that only filed on their own are not shown Used either metadata given as multiple entity names, or extracted entities from filed documents where “et al.” or “filed on behalf of” given in metadata Trade associations and coalitions have not been unpacked into their constituents Sometimes distorts data, e.g. AT&T is represented both on its own account and hidden within the “Missoula Plan Supporters” node Coalitions unpacked: Oregon Rural LECs, Five State Regulatory Commissions, Coalition for Rational Universal Service and Intercarrier Reform Companyname changes on acquisition/merger not accounted for: Frontier Communications Corporation was formerly known as Citizens Communications Corporation Don’t distinguish between “old” and “new” AT&T, or Verizon before and after MCI merge
  • 5. Filing intensity varies over time FNPRM issued 11/5/08 Responses (10/25/2006) to FCC PN (issued 7/25/06) on Missoula Plan (filed 6/24/06) FNPRM comments (5/23/05) FNPRM reply comments (10/20/05) NPRM comments (8/21/01) Reply comments (11/05/01) Responses (10/18/02) to T-Mo et al Petition for Declaratory Ruling (filed 9/6/02)
  • 6. Links between 01-92 and other dockets Petition of AT&T for interim declaratory ruling and limited waivers pleading cycle established IMPLEMENTATION OF THE LOCAL COMPETITION PROVISIONS IN THE TELECOMMUNICATIONS ACT OF 1996 In the Matter of Establishing Just and Reasonable Rates for Local Exchange Carriers FEDERAL-STATE JOINT BOARD ON UNIVERSAL SERVICE In the Matter of Universal Service Contribution Methodology Federal-State Joint Board on Universal Service 1998 Biennial Regulatory Review ACCESS CHARGE REFORM In the Matter of Inter-Carrier Compensation for ISP-Bound Traffic In the Matter of Federal -State Joint Board on Universal Service High-Cost Universal Service Support Numbering Resource Optimization In the Matter of IP-Enabled Services In the Matter of Lifeline and Link-Up Request Petition for Declaratory Ruling that AT&T's Phone-to-Phone IP Telephony Services are Exempt from Access Charges All linked dockets 2001-2008, filtered: Sub-graphs level 1.5 centered on 01-92 (i.e. all nodes linked to 01-92, and links between them) edge weight >40 (dockets on either side of the edge were noted together on a filing more than 40 times) Edge width and color both indicate edge weight: wider/pinker means more joint mentions
  • 7. Companies typically either always file solo, or always jointly 498 entities always filed alone, e.g. BellSouth, NARUC 152 entities always filed with someone else, e.g. Broadview, Maine PUC 25 entities filed with others in 40%-60% of cases, e.g. tw telecom, Pac-West Solo filers excluded from co-filing analysis
  • 8. Links between Filers If the names of A and filer B both appear on a particular filing… … they are treated as being linked Filed on Date 1 Filed on Date 1 A B A B A B The more often they file together… … the darker the line connecting them (think of the lines being stacked one on another) Filed on Date 3 Filed on Date 2 A B A B A B A B A B
  • 9. Different co-filing occurrences… … lead to a network structure Filed on Date 1 Filed on Date 3 A B A B B A B C C So far the graphs looked at all filings simultaneously. Looking at a sequence of dates shows different links at different times: Filed on Date 2 Date 1 Date 3 Date 2 A B A B A B A B A B C C C C Deriving a Network Structure
  • 10. The area of the blob is proportional to the total number of filings made over the whole period (solo or joint) Additional node attributes (1): Size AT&T filed many times (big blob), whereas PointOne filed seldom (small blob). However, one can see that they’re roughly equally linked to other filers. That means that AT&T filed more often on its own.
  • 11.
  • 12. GCI, CompTel, and NCTA filed the same number of times (same size), but CompTel is the more influential (pinker), and GCI less (bluer)
  • 13.
  • 14. Nodes are laid out (by hand) to respect clustering Clusters calculated using Clauset Newman Moore (2004) algorithm (Wakita & Tsurumi 2007 optimization) to find community structure, gathering vertices into groups such that there is a higher density of connections within groups than between them
  • 15. A Time Series Underlying data set has day-by-day granularity; these snapshots are integrated over much longer periods
  • 16. 2001-2002 CLEC reply comments to NPRM T-Mobile et al petition for declaratory ruling
  • 17. 2003-2004 CLECs’ “Cost-Based Intercarrier Compensation Coalition” (CBICC) Intercarrier Compensation Forum, filed ICF Plan 5 Oct 2004 “Indep. Wireless Carriers”: T-Mobile, W Wireless, Dobson “CMRS Petitioners”: T-Mobile, W Wireless, Nextel
  • 18. 2005 – summer 2006 CLECs Major CLECs – FNPRM comments & replies CLECs, some eventually merging e.g. Lightship, CTC, Conversent; and Xspedius & tw telecom Rural LECs and their associations
  • 19. Fall 2006 – end 2007 Missoula Plan Allies Missoula Plan Opponents: Mix of CLECs, ILECs and Indep. Wireless Oregon Rural LECs, supporting Missoula Plan
  • 20. Jan – July 2008 The calm before the storm
  • 21. Aug/Sep 2008 ILEC/IXC coalition: Ex parte advocating federalizing VOIP, uniform comp rate for all traffic CLECs opposing Verizon’s September 12 proposal, incl. uniform rate
  • 22. Oct 2008 Five State regulatory commissions objecting to “eleventh hour filings” Small ILECs trying to slow down process Broadening CLEC coalition opposing change towards flat rate Mid-size rural LECs opposing flat rate comp, supporting status quo OPASTCO/WTA Plan
  • 23. Nov/Dec 2008 “Coalition for Rational Universal Service and Intercarrier Reform” – urban & rural CLECs Opposition to AT&T/IXC “self-help” from small LEC and conf-call players Rural cellular – note they’re closer to the CLECs than the RLECs
  • 24. Summary of Coalition Patterns Opponents are connected: ILECs, CLECs, and cellular Rural LECs and their associations keep to themselves
  • 25. Top 20 Impact Depends on Chosen Metric CLECs not only band together, but also file a lot, and often. NTCA carries the water for RLECs * Filers that appear in three or more columns are color coded
  • 26. Observations Graph clusters seem to correspond to real-world interests A large number of filings form one large connected graph (the blob in the center) It’s connected in aggregate over the whole time series: shifting alliances In the course of the proceeding, one can find a link between opposing parties e.g. a proponent of the “Missoula Plan” like AT&T is linked to an opponent like XO via both of them co-filing with the CTIA at different dates (“Six Degrees of Kevin Bacon”) There are many parties that only co-file once or twice Most of them are pairs There are a few large groups of co-filers that show up only once in the record, and aren’t seen before or after Frequent Filers are usually different from Cross-Connectors Frequent filers like AT&T, CTIA and NTCA don’t often file in coalition Connectors that bridge alliances (e.g. Hypercube, iBasis) don’t file all that often Some fall in both groups, e.g. XO and Cavalier
  • 27. Value of the approach Insiders can use graphs to identify: detailed trends at a glance potential collaborators or defectors, e.g. by looking for coalition members who are bridges between groups, or peripheral Outsiders can grasp the overall structure of a proceeding without having to read the entire record News organizations can use: cluster evolution to show changes in coalitions network structure to guide understanding of search results
  • 28. Implications for FCC Poor quality of information input by filers impedes transparency Endless misspellings of company names Not all entities involved in a filing are listed Filers make mistakes (e.g. mistyping docket number) but can’t remove mistakes; they simply file again Require more information in metadata Require all entities names to appear in the Filed on Behalf Of field, i.e. “et al.” not allowed Distinguish between ex parte letters and meetings Use standard web techniques to facilitate data input and retrieval Require log-in with company ID when submitting data to ECFS Require filer name to be registered; subsequently metadata can only be chosen from pre-registered information, not added de novo Offer drop-downs and auto-complete to add co-filers Provide web interfaces for downloading data in bulk, and as daily feeds Improve systems for correcting errors Allow filers to remove incorrect data (only filer can remove what was filed) Penalize errors, e.g. by naming and shaming Invest in cleaning up old data: requires public/private effort?
  • 29. Caveats Graph depends on metadata entered into ECFS by filers, which can be unreliable misspellings (e.g. ATT for AT&T) inaccuracy (e.g. a filing attributed to AT&T was actually on behalf of a number of companies, and so is not counted as a co-filing) ambiguity (e.g. there are many companies whose name includes “Citizens”, and they all seem to be different)
  • 30. Some Bad Data Examples BellSouth: BellSouth Coration BellSouth Corpm BellSouth Corps BellSouth D.C. BellSouth TELECOMMUN BellSouth TELECOMMUNIC BellSouth TELECOMMUNICA BellSouth TELECOMMUNICAT BellSouth TELECOMMUNICATI BellSouth Telecommunication BellSouth Cellular CORPOR Misspellings of “Communications”: Comminication Commnications Communictions Commuications Commuincations Communcations COMMUNIATIONS Communicaitions COMMUNICAITONS Communicatiions Communicatins Communicationas Communicationsn COMMUNICCATIONS Communictions Communocations Comunications Coommunications Cummunications California PUC: CALIFORNIA PUBLIC UTILIL CALIFORNIA PUBLIC UTILIT CALIFORNIA PUBLIC UTILITE California Public Utilites Commission CALIFORNIA PUBLIC UTILITI California Public Utilities CALIFORNIA PUBLIC UTILITIES COMMISSION California Public Utilities Commission - 99-204 California Public Utilities Commission and People of the State of California California Public Utiltiies Commission Calilfornia Public Utilities Commission Commissioners Lynch and Wood, California Public Utilities Commission People for the State of California and Ca. Public Utilities Commission People for the State of California and Cal. Public Utilities Commission People for the State of California and California Public Utilities Commission People of the State of California & Public Utilities Commission People of the State of California and Cal. Public Utilities Commission People of the State of California and California People of the State of California and California Public Utilities Commission People of the State of California and Public Utilities Commission People of the State of California and the Cal Public Utilities Commissoin People of the State of California and the California Public Utilities Commission Public Utilities Commission of the State of California State of California and the California Public Utilities Commission State of California Public Utilities Commission The People of the State of California and by proxy for CPUC The People of the State of California by proxy for CPUC
  • 31. Caveat (ctd): Coalitions are Understated Analysis puts a lower bound on connectivity Some connections are not revealed through co-filing; entities may be linked, e.g. through participation in a trade association, but not file together explicitly Co-filing is undercounted since we rely on the metadata entered into ECFS. Sometimes just one company name given, even though there multiple companies involved, or a list of company names may not include all filers. (This data can be obtained from the underlying document, but at the price of significantly more effort.) This analysis deals with only one docket; companies may co-file more frequently on other dockets
  • 32. Conclusions (restated) Graph-theory clusters representreal-world alliances Tracking the evolution of clusters can reveal shifts in alliances Improving ECFS interfaces and data quality will improve public knowledge of lobbying activity