Tempo spatial data extraction from network connected devices

• US 8,700,631 B2
• Filed: 11/11/2010
• Issued: 04/15/2014
• Est. Priority Date: 05/15/2008
• Status: Active Grant

• Current Assignee: Zone Technologies, Inc. (Helios & Matheson Analytics, Inc.)
• Original Assignee: trendIT, Ltd.
• Inventors: Weinroth, Erez
• Primary Examiner(s): PANNALA, SATHYANARAYA R
• Application Number:
  US12/943,971
• Publication Number:
  US 20110055216A1
• Time in Patent Office: 1,251 Days
• Field of Search: 709/224, 455/411, 455/418, 455/435.1, 375/220, 707/740
• US Class Current: 707/740
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 8/18 Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Abstract

A computer implemented data processing system for estimating an amount of people situated in a specific location and their geo-demographic classification within time range is provided herein. The system is combined of a collector that is configured to collect data on signals and each signal is given a unique ID; an association module configured to associate each signal with a respective location, namely, place of origin; a processing unit configured to calculate total number of users subscribed to a specific network service provider situated in a specific location and time range; calculate a dynamic ratio by research and statistical data; and an estimation module configured to estimate the amount of people originated from a specific location and the overall amount of people in a location within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

Claims

1. A data processing system for estimating an amount of people in a specific location and their geo-demographic classification, the data processing system comprising:

a collector configured to collect data broadcasted by a network service provider over time, the data exhibiting unique user identifiers corresponding with the user profiles of the network connected devices, wherein each network connected device has a unique user identifier;

an association module configured to associate broadcasted data with respective location area, based on calculated median number of transmissions in a specified location area in a specified period of time;

a network-connected devices identifier configured to;

repeatedly identify, every a first time period, all network-connected devices which are both active and idle in each location area;

repeatedly create a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting;

location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area; and

differentiate table of time N−

1 over table of time N thereby detecting inflow and outflow quantities of unique user identifiers for each location area;

a client relationship management (CRM) data categorizer configured to;

decipher the difference table by an authentication center of the network; and

analyze the deciphered tables using CRM profiles;

a processing unit configured to;

(a) calculate total number of users subscribed to a specific network service provider situated in a specific location area and time range; and

(b) calculate a dynamic ratio by research and statistical data, between (i) the number of users of a specific network service provider situated in a specified location area and time range originated in a specific location area and (ii) a number of people originated in a specific location area;

a location-based combiner configured to join over time quantities of unique user identifiers in each location area analyzed by corresponding CRM profiles, thereby creating geo-demographic classifications associated with location areas, wherein the location-based combiner is configured to join over time, the deciphered tables with corresponding location area thereby creating at least one Geographic Information System (GIS) data layer; and

an estimation module configured to estimate the amount of people originated from a specific location area and the overall amount of people in a location area associated with said geo-demographic classification within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

2. The data processing system according to claim 1, further comprising a combining module, and wherein the combining module combines aggregated user related data from with corresponding geographical coordinates.

3. The data processing system according to claim 2, further comprising an interpolating module and wherein the interpolating module spatially interpolates the combined aggregated user related data.

4. The data processing system according to claim 3, further comprising a calibrating module, and wherein the calibrating module calibrates the interpolated data with exogamic statistical data.

5. The data processing system according to claim 4, wherein the data processing system creates tempo-spatial related network-connected devices masses pattern representations using spatial and temporal geo-statistics techniques.

6. The data processing system according to claim 1, wherein the location-based combiner is further arranged to estimate global phenomena to specific carrier network connected-devices ratios.

7. The data processing system according to claim 1, wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles by categorizing and summing the CRM data by user profiles.

8. The data processing system according to claim 1, wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles is conducted such that properties of a particular area are used to deduce further information in relation to the users located in the particular location area.

9. The data processing system according to claim 1, wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles such that properties of a particular categorized user profile are used to deduce further information in relation to the particular location area in which the users are located.

10. A system of estimating an amount of people in a specific location and their geo-demographic classification, the system comprising a processor, the processor configured to:

collect data broadcasted by a network service provider over time, the data exhibiting unique user identifiers corresponding with the user profiles of the network connected devices, wherein each network connected device has a unique user identifier;

collect broadcasted data with respective location area, based on calculated median number of transmissions in a specified location area in a specified period of time;

repeatedly identify, every a first time period, all network-connected devices which are both active and idle in each location area;

repeatedly create a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting;

location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area;

differentiate table of time N−

1 over table of time N thereby detecting inflow and outflow quantities of unique user identifiers for each location area;

decipher the difference table by an authentication center of the network;

analyze the deciphered tables using client relationship management (CRM) profiles;

calculate total number of users subscribed to a specific network service provider situated in a specific location area and time range;

calculate a dynamic ratio by research and statistical data, between (i) the number of users of a specific network service provider situated in a specified location area and time range originated in a specific location area and (ii) a number of people originated in a specific location area;

join over time quantities of unique user identifiers in each location area analyzed by corresponding CRM profiles, thereby creating geo-demographic classifications associated with said each location area, comprising joining over time the deciphered tables with corresponding location area thereby creating at least one Geographic Information System (GIS) data layer; and

estimate the amount of people originated from a specific location area and the overall amount of people in a location area associated with said geo-demographic classification within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

11. The system according to claim 10, wherein the processor is further configured to periodically repeat the aggregating of the collected data thereby creating tempo-spatial data stamps, each exhibiting anonymous aggregated profiles classes associated with geographical locations.

12. The system according to claim 11, wherein the processor is further configured to estimate global phenomena in accordance with the tempo-spatial data stamps, in view of the network-connected devices ratios.

13. The system according to claim 10, wherein the processor is further configured to create, using geo-statistical methods, a GIS layer presenting the anonymous aggregated profiles classes associated with geographical locations.

14. A non-transitory computer usable medium having a computer readable program code embodied therein, wherein execution of the code by a computer causes the computer to perform a method of estimating an amount of people in a specific location and their geo-demographic classification, the method comprising:

collecting data broadcasted by a network service provider over time, the data exhibiting unique user identifiers corresponding with the user profiles of the network connected devices, wherein each network connected device has a unique user identifier;

associating broadcasted data with respective location area, based on calculated median number of transmissions in a specified location area in a specified period of time;

repeatedly identifying, every a first time period, all network-connected devices which are both active and idle in each location area;

repeatedly creating a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting;

location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area;

differentiating table of time N−

1 over table of time N thereby detecting inflow and outflow quantities of unique user identifiers for each location area;

deciphering the difference table by an authentication center of the network;

analyzing the deciphered tables using client relationship management (CRM) profiles;

calculating total number of users subscribed to a specific network service provider situated in a specific location area and time range;

calculating a dynamic ratio by research and statistical data, between (i) the number of users of a specific network service provider situated in a specified location area and time range originated in a specific location area and (ii) a number of people originated in a specific location area;

joining over time quantities of unique user identifiers in each location area analyzed by corresponding CRM profiles, thereby creating geo-demographic classifications associated with said each location area, comprising joining over time the deciphered tables with corresponding location area thereby creating at least one Geographic Information System (GIS) data layer; and

estimating the amount of people originated from a specific location area and the overall amount of people in a location area associated with said geo-demographic classification within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

15. The computer usable medium according to claim 14, wherein the method further comprising periodically repeating aggregating of the collected data thereby creating tempo-spatial data stamps, each exhibiting anonymous aggregated profiles classes associated with geographical locations.

16. The computer usable medium according to claim 15, wherein the method further comprising estimating global phenomena in accordance with the tempo-spatial data stamps, in view of the network-connected devices ratios.